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<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Basic Medical Training for Refugees via Collaborative Blended Learning: Quasi-Experimental Design."
Abstract:"Background: Globally, there is an excess of 68.5 million people who have been forced to leave their homes and seek sanctuary elsewhere because of poverty, persecution, conflict, violence, and human rights violations. Although international humanitarian responses usually focus on ensuring that the basic needs of these people are being met, there is growing attention on the role that development-oriented interventions can play in the longer term. Higher education in a refugee context is one such intervention that can equip refugees with the knowledge and skills they need to serve their communities and move forward. Objective: This study aims to evaluate the outcomes and effectiveness of the University of Geneva InZone-Raft Basic Medical Training Course in the Kakuma refugee camp in Kenya compared with a previous incarnation of the same course in the Dadaab refugee camp in Kenya. Methods: We used a quasi-experimental design to compare the posttest scores of both inequivalent student groups: control group (n=18) and intervention group (n=16). Factors that influenced refugee students' knowledge acquisition, the amount of knowledge they acquired, and their academic outcomes were assessed, and the pedagogical evolution of the project is presented. Results: We found that the Kakuma intervention course yielded better outcomes and was more effective in terms of learning than the Dadaab control course. Of the 16 students who took part in the intervention course, 10 (63%) completed the program successfully and received accreditation from the University of Geneva. We observed that they received new knowledge well and scored higher on all learning modalities than those in the control course. Comparison of written and oral examinations between the courses showed statistical significance for the intervention group in written and oral exams (two-tailed: P=.006 and P=.05; one-tailed: P=.003 and P=.03, respectively). The Kakuma course was not effective in addressing electricity and internet access problems, nor in reducing the challenge of tight deadlines in the syllabus. Pedagogical adjustments to the intervention course improved student involvement, with higher participation rates in quizzes (10/11, 91%), and overall satisfaction and learning. Conclusions: The intervention group-with an improved mode of delivery, better contextualized content, and further interaction-reached a higher level of medical knowledge acquisition and developed more complex questions on medical topics than the control group. The positive outcome of this project shows that given the right resources and support, refugees can contribute to the improvement and development of health care in their communities. Nonetheless, a more focused effort is necessary to meet the educational needs of refugee learners and better understand their living conditions.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5,6,7];
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Q6 = [1]. | abs10913 | 10.2196/22345 | Basic Medical Training for Refugees via Collaborative Blended Learning: Quasi-Experimental Design | Background: Globally, there is an excess of 68.5 million people who have been forced to leave their homes and seek sanctuary elsewhere because of poverty, persecution, conflict, violence, and human rights violations. Although international humanitarian responses usually focus on ensuring that the basic needs of these people are being met, there is growing attention on the role that development-oriented interventions can play in the longer term. Higher education in a refugee context is one such intervention that can equip refugees with the knowledge and skills they need to serve their communities and move forward. Objective: This study aims to evaluate the outcomes and effectiveness of the University of Geneva InZone-Raft Basic Medical Training Course in the Kakuma refugee camp in Kenya compared with a previous incarnation of the same course in the Dadaab refugee camp in Kenya. Methods: We used a quasi-experimental design to compare the posttest scores of both inequivalent student groups: control group (n=18) and intervention group (n=16). Factors that influenced refugee students' knowledge acquisition, the amount of knowledge they acquired, and their academic outcomes were assessed, and the pedagogical evolution of the project is presented. Results: We found that the Kakuma intervention course yielded better outcomes and was more effective in terms of learning than the Dadaab control course. Of the 16 students who took part in the intervention course, 10 (63%) completed the program successfully and received accreditation from the University of Geneva. We observed that they received new knowledge well and scored higher on all learning modalities than those in the control course. Comparison of written and oral examinations between the courses showed statistical significance for the intervention group in written and oral exams (two-tailed: P=.006 and P=.05; one-tailed: P=.003 and P=.03, respectively). The Kakuma course was not effective in addressing electricity and internet access problems, nor in reducing the challenge of tight deadlines in the syllabus. Pedagogical adjustments to the intervention course improved student involvement, with higher participation rates in quizzes (10/11, 91%), and overall satisfaction and learning. Conclusions: The intervention group-with an improved mode of delivery, better contextualized content, and further interaction-reached a higher level of medical knowledge acquisition and developed more complex questions on medical topics than the control group. The positive outcome of this project shows that given the right resources and support, refugees can contribute to the improvement and development of health care in their communities. Nonetheless, a more focused effort is necessary to meet the educational needs of refugee learners and better understand their living conditions. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Toward an Equal Level of Educational Attainment Between Deaf and Hearing People in Sweden?."
Abstract:"Various educational reforms in Sweden have resulted in a formally equivalent educational system for deaf and hearing pupils. Has this resulted in equal levels of educational attainment? This article compares 2,144 people born between 1941 and 1980 who attended a special education program for the deaf and 100,000 randomly chosen individuals from the total population born between 1941 and 1980. Data consist of registered information about the individuals in the year 2005. Results demonstrate that the deaf population has a lower level of educational attainment than the reference population. Women have a higher level of educational attainment than men, and younger people have a higher level than older people in each population. Neither sex, age category, nor immigrant background accounts for the variance in the level of educational attainment between the populations. The educational reforms have not been sufficient to reduce the unequal level of educational attainment between deaf and hearing people.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
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Q5 = [];
Q6 = [1]. | abs04283 | 10.1093/deafed/enp001 | Toward an Equal Level of Educational Attainment Between Deaf and Hearing People in Sweden? | Various educational reforms in Sweden have resulted in a formally equivalent educational system for deaf and hearing pupils. Has this resulted in equal levels of educational attainment? This article compares 2,144 people born between 1941 and 1980 who attended a special education program for the deaf and 100,000 randomly chosen individuals from the total population born between 1941 and 1980. Data consist of registered information about the individuals in the year 2005. Results demonstrate that the deaf population has a lower level of educational attainment than the reference population. Women have a higher level of educational attainment than men, and younger people have a higher level than older people in each population. Neither sex, age category, nor immigrant background accounts for the variance in the level of educational attainment between the populations. The educational reforms have not been sufficient to reduce the unequal level of educational attainment between deaf and hearing people. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Prevalence and Determinants of Generalized Anxiety Disorder Symptoms in Residents of Fort McMurray 12 Months Following the 2020 Flooding."
Abstract:"BackgroundThe flood in Fort McMurray (FMM) which occurred between April 26 and May 2, 2020, is known to have displaced an estimated population of 1,500 people, and destroyed or damaged about 1,230 buildings. In all, it is estimated to have caused about $228 million in losses. ObjectiveThis study aims to identify the prevalence and determinants of likely Generalized Anxiety disorder (GAD) in among respondents 12-months after the 2020 flooding. MethodsData for the study were collected through a cross-sectional survey sent through REDCap and hosted online from the 24th of April to the 2nd of June 2021. The self-administered questionnaire was emailed to respondents using community, government, school, and occupational platforms. Demographic, flooding-related variables, and clinical data were collected. A validated instrument, the GAD-7 was used to collect information on likely GAD. Consent was implied by completing the survey forms, and the University of Alberta Health Research Ethics Committee approved the study. ResultsOf the 249 residents surveyed, 74.7% (186) respondents completed the online survey, 81.6% (80) were above 40 years, 71% (132) were in a relationship, 85.5% (159) were females, and 94.1% (175) were employed. The prevalence of likely GAD was 42.5% in our study. Predictors of likely GAD among respondents included positive employment status (OR = 30.70; 95% C.I. 2.183-423.093), prior diagnosis of depression (OR = 3.30; 95% C.I. 1.157-9.43), and the perceived need to have mental health counseling (OR = 6.28; 95% C.I. 2.553-15.45). ConclusionThis study showed that there was an increased magnitude of moderate to high anxiety symptoms among respondents following the natural disaster particularly the flood in 2020. The predictors of likely GAD include positive employment status, history of depression diagnosis, and the need to have mental health counseling. Policymakers may mitigate the rise of anxiety after flooding in vulnerable areas by addressing these and other factors.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [1];
Q6 = [1]. | abs00508 | 10.3389/fpsyt.2022.844907 | Prevalence and Determinants of Generalized Anxiety Disorder Symptoms in Residents of Fort McMurray 12 Months Following the 2020 Flooding | BackgroundThe flood in Fort McMurray (FMM) which occurred between April 26 and May 2, 2020, is known to have displaced an estimated population of 1,500 people, and destroyed or damaged about 1,230 buildings. In all, it is estimated to have caused about $228 million in losses. ObjectiveThis study aims to identify the prevalence and determinants of likely Generalized Anxiety disorder (GAD) in among respondents 12-months after the 2020 flooding. MethodsData for the study were collected through a cross-sectional survey sent through REDCap and hosted online from the 24th of April to the 2nd of June 2021. The self-administered questionnaire was emailed to respondents using community, government, school, and occupational platforms. Demographic, flooding-related variables, and clinical data were collected. A validated instrument, the GAD-7 was used to collect information on likely GAD. Consent was implied by completing the survey forms, and the University of Alberta Health Research Ethics Committee approved the study. ResultsOf the 249 residents surveyed, 74.7% (186) respondents completed the online survey, 81.6% (80) were above 40 years, 71% (132) were in a relationship, 85.5% (159) were females, and 94.1% (175) were employed. The prevalence of likely GAD was 42.5% in our study. Predictors of likely GAD among respondents included positive employment status (OR = 30.70; 95% C.I. 2.183-423.093), prior diagnosis of depression (OR = 3.30; 95% C.I. 1.157-9.43), and the perceived need to have mental health counseling (OR = 6.28; 95% C.I. 2.553-15.45). ConclusionThis study showed that there was an increased magnitude of moderate to high anxiety symptoms among respondents following the natural disaster particularly the flood in 2020. The predictors of likely GAD include positive employment status, history of depression diagnosis, and the need to have mental health counseling. Policymakers may mitigate the rise of anxiety after flooding in vulnerable areas by addressing these and other factors. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Can public transport improve accessibility for the poor over the long term? Empirical evidence in Paris, 1968-2010."
Abstract:"It is difficult to cut transport greenhouse gas emissions without affecting negatively the poorest people. A so-lution, in cities, is to target low income districts with public transport investments. However, after a few years, changes in neighborhoods, especially transit-induced gentrification, may prevent the social objective to be met. Whether public transport actually leads to population displacement has been extensively studied empirically, but the literature is inconclusive: the longer-term impact of such investments remains unclear. Here, we study the evolution of job accessibility in Paris metropolitan area between 1968 and 2010, by income and labor group, following the changes in the transport network. We show that major public transport lines, when they were built, served the needs of all groups in an almost neutral way. However, a few years later, due to population and job movements, actual changes in accessibility systematically resulted in gains for richer households and losses for poorer ones. Such a pattern is consistently observed in every decade between 1968 and 2010. It appears to be due primarily to unequal changes in the numbers of jobs in each labor group, and secondly to the changes in both job locations and in inhabitants' residences. To maintain job accessibility to poorest inhabitants over time, beyond improving transport network, trying to maintain-or to move in a planned way-the location of their jobs and residence appears as a key variable.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs00311 | 10.1016/j.jtrangeo.2022.103473 | Can public transport improve accessibility for the poor over the long term? Empirical evidence in Paris, 1968-2010 | It is difficult to cut transport greenhouse gas emissions without affecting negatively the poorest people. A so-lution, in cities, is to target low income districts with public transport investments. However, after a few years, changes in neighborhoods, especially transit-induced gentrification, may prevent the social objective to be met. Whether public transport actually leads to population displacement has been extensively studied empirically, but the literature is inconclusive: the longer-term impact of such investments remains unclear. Here, we study the evolution of job accessibility in Paris metropolitan area between 1968 and 2010, by income and labor group, following the changes in the transport network. We show that major public transport lines, when they were built, served the needs of all groups in an almost neutral way. However, a few years later, due to population and job movements, actual changes in accessibility systematically resulted in gains for richer households and losses for poorer ones. Such a pattern is consistently observed in every decade between 1968 and 2010. It appears to be due primarily to unequal changes in the numbers of jobs in each labor group, and secondly to the changes in both job locations and in inhabitants' residences. To maintain job accessibility to poorest inhabitants over time, beyond improving transport network, trying to maintain-or to move in a planned way-the location of their jobs and residence appears as a key variable. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Spiritual ambiguity in interfaith humanitarianism: Local faith communities, Syrian refugees, and Muslim-Christian encounters in Lebanon and Jordan."
Abstract:"Literature on faith-based responses to forced displacement has described, but not fully unpacked or theorized cross-religion humanitarian aid in 'South-South' contexts. This article interrogates the various ambiguities, particularly spiritual ambiguities, inherent in faith-based humanitarianism where local providers are the minority religion. In unpacking these, we identify three modes of faith-based aid to Muslim Syrian refugees by local churches and Christian charities in Lebanon and Jordan: hospitality, humanitarian, and spiritual development. These may present successively deeper opportunities for fostering openness to spiritual pluralism. We argue for greater appreciation of what we call spiritual ambiguity in interfaith humanitarianism. While humanitarian space is always shaped by a web of power relations, it is vital to develop new, more nuanced ways of thinking about cross-religious faith-based humanitarianism beyond Western neo-colonialism or refugee strategizing.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5,6];
Q3 = [2];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs09834 | 10.1093/migration/mnab024 | Spiritual ambiguity in interfaith humanitarianism: Local faith communities, Syrian refugees, and Muslim-Christian encounters in Lebanon and Jordan | Literature on faith-based responses to forced displacement has described, but not fully unpacked or theorized cross-religion humanitarian aid in 'South-South' contexts. This article interrogates the various ambiguities, particularly spiritual ambiguities, inherent in faith-based humanitarianism where local providers are the minority religion. In unpacking these, we identify three modes of faith-based aid to Muslim Syrian refugees by local churches and Christian charities in Lebanon and Jordan: hospitality, humanitarian, and spiritual development. These may present successively deeper opportunities for fostering openness to spiritual pluralism. We argue for greater appreciation of what we call spiritual ambiguity in interfaith humanitarianism. While humanitarian space is always shaped by a web of power relations, it is vital to develop new, more nuanced ways of thinking about cross-religious faith-based humanitarianism beyond Western neo-colonialism or refugee strategizing. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Identification of spatial and functional interactions in Beijing based on trajectory data."
Abstract:"The spatial interactions in a city help us understand how the city spaces are structured. Human needs change constantly throughout the day, leading to changing functions of urban space and spatial interactions. Most existing studies on spatial interaction are confined to static interaction, which does not reflect the dynamic spatial interactions and urban space functions. Taxies are an important means of urban transportation, and their trajectories are time sensitive. The clusters of pick-up and drop-off points of taxies directly reflect the spatiotemporal human mobility pattern in a city, and their implicit semantic information can be used to infer the passengers' activities. Using Beijing as a case study, this paper employs taxi origin and destination trajectory data to explore the dynamic spatial and functional interaction patterns. First, we apply tensor decomposition to obtain the spatial and temporal patterns of human mobility. Second, geotagged Weibo texts are incorporated to extract the dynamic urban functional areas. Then, we obtain the spatial and functional interactions by trajectory clustering and visualization. The results reveal two daily patterns and four hourly patterns of human mobility. The spatial interactions and the functional interaction reveal the spatial patterns and semantics of human taxi travel behaviors in different time periods.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
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Q3 = [0];
Q4 = [0];
Q5 = [];
Q6 = [1]. | abs10470 | 10.1016/j.apgeog.2022.102744 | Identification of spatial and functional interactions in Beijing based on trajectory data | The spatial interactions in a city help us understand how the city spaces are structured. Human needs change constantly throughout the day, leading to changing functions of urban space and spatial interactions. Most existing studies on spatial interaction are confined to static interaction, which does not reflect the dynamic spatial interactions and urban space functions. Taxies are an important means of urban transportation, and their trajectories are time sensitive. The clusters of pick-up and drop-off points of taxies directly reflect the spatiotemporal human mobility pattern in a city, and their implicit semantic information can be used to infer the passengers' activities. Using Beijing as a case study, this paper employs taxi origin and destination trajectory data to explore the dynamic spatial and functional interaction patterns. First, we apply tensor decomposition to obtain the spatial and temporal patterns of human mobility. Second, geotagged Weibo texts are incorporated to extract the dynamic urban functional areas. Then, we obtain the spatial and functional interactions by trajectory clustering and visualization. The results reveal two daily patterns and four hourly patterns of human mobility. The spatial interactions and the functional interaction reveal the spatial patterns and semantics of human taxi travel behaviors in different time periods. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Characterizing Intercity Mobility Patterns for the Greater Bay Area in China."
Abstract:"Understanding intercity mobility patterns is important for future urban planning, in which the intensity of intercity mobility indicates the degree of urban integration development. This study investigates the intercity mobility patterns of the Greater Bay Area (GBA) in China. The proposed workflow starts by analyzing intercity mobility characteristics, proceeds to model the spatial-temporal heterogeneity of intercity mobility structures, and then identifies the intercity mobility patterns. We first conduct a complex network analysis, based on weighted degrees and the PageRank algorithm, to measure intercity mobility characteristics. Next, we calculate the Normalized Levenshtein Distance for Population Mobility Structure (NLPMS) to quantify the differences in intercity mobility structures, and we use the Non-negative Matrix Factorization (NMF) to identify intercity mobility patterns. Our results showed an evident 'Core-Periphery' differentiation characterized by intercity mobility, with Guangzhou and Shenzhen as the two core cities. An obvious daily intercity commuting pattern was found between Guangzhou and Foshan, and between Shenzhen and Dongguan cities at working time. This pattern, however, changes during the holidays. This is because people move from the core cities to peripheral cities at the beginning of holidays and return at the end of holidays. This study concludes that Guangzhou and Foshan have formed a relatively stable intercity mobility pattern, and the Shenzhen-Dongguan-Huizhou metropolitan area has been gradually formed.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [3];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [1]. | abs00302 | 10.3390/ijgi12010005 | Characterizing Intercity Mobility Patterns for the Greater Bay Area in China | Understanding intercity mobility patterns is important for future urban planning, in which the intensity of intercity mobility indicates the degree of urban integration development. This study investigates the intercity mobility patterns of the Greater Bay Area (GBA) in China. The proposed workflow starts by analyzing intercity mobility characteristics, proceeds to model the spatial-temporal heterogeneity of intercity mobility structures, and then identifies the intercity mobility patterns. We first conduct a complex network analysis, based on weighted degrees and the PageRank algorithm, to measure intercity mobility characteristics. Next, we calculate the Normalized Levenshtein Distance for Population Mobility Structure (NLPMS) to quantify the differences in intercity mobility structures, and we use the Non-negative Matrix Factorization (NMF) to identify intercity mobility patterns. Our results showed an evident 'Core-Periphery' differentiation characterized by intercity mobility, with Guangzhou and Shenzhen as the two core cities. An obvious daily intercity commuting pattern was found between Guangzhou and Foshan, and between Shenzhen and Dongguan cities at working time. This pattern, however, changes during the holidays. This is because people move from the core cities to peripheral cities at the beginning of holidays and return at the end of holidays. This study concludes that Guangzhou and Foshan have formed a relatively stable intercity mobility pattern, and the Shenzhen-Dongguan-Huizhou metropolitan area has been gradually formed. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Continued and intensified hostility: The problematisation of immigration in the UK government's 2021 New Plan for Immigration."
Abstract:"Drawing on Bacchi's (2009) 'What's the problem represented to be?' framework, this article provides a critical analysis of HM Government's (2021a) New Plan for Immigration. We explore how immigration is problematised, the assumptions that underlie these problematisations, alternative ways of representing the 'problem' of immigration, and the possible effects of the proposed reforms. Our article demonstrates how the New Plan is increasingly hostile towards, not only 'illegal' migrants, but an ever-widening group of people and organisations who may be viewed as facilitating illegal entry (organised criminals, hauliers) and/or those held responsible for preventing/delaying their removal (lawyers). The government's proposals risk creating a two-tiered system, increasing the exclusion experienced by those seeking asylum, and widening the net of those held responsible for immigration control. Ultimately, we conclude that while the sentiments behind the government's New Plan may not be all that 'new', they are nevertheless significant for their continuation and intensification of existing hostile policies and practices relating to immigration in the UK. This is especially so, given a number of recent global events that could have provided an opportunity to disrupt the government's problematisation of, and hostility towards, people seeking refuge.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [5];
Q3 = [1];
Q4 = [0];
Q5 = [1];
Q6 = [0]. | abs08999 | 10.1177/02610183221109133 | Continued and intensified hostility: The problematisation of immigration in the UK government's 2021 New Plan for Immigration | Drawing on Bacchi's (2009) 'What's the problem represented to be?' framework, this article provides a critical analysis of HM Government's (2021a) New Plan for Immigration. We explore how immigration is problematised, the assumptions that underlie these problematisations, alternative ways of representing the 'problem' of immigration, and the possible effects of the proposed reforms. Our article demonstrates how the New Plan is increasingly hostile towards, not only 'illegal' migrants, but an ever-widening group of people and organisations who may be viewed as facilitating illegal entry (organised criminals, hauliers) and/or those held responsible for preventing/delaying their removal (lawyers). The government's proposals risk creating a two-tiered system, increasing the exclusion experienced by those seeking asylum, and widening the net of those held responsible for immigration control. Ultimately, we conclude that while the sentiments behind the government's New Plan may not be all that 'new', they are nevertheless significant for their continuation and intensification of existing hostile policies and practices relating to immigration in the UK. This is especially so, given a number of recent global events that could have provided an opportunity to disrupt the government's problematisation of, and hostility towards, people seeking refuge. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Dryland: Artificial Islands as New Oceanscapes."
Abstract:"Climate change induced sea level rise now threatens to redraw the physical geographical map of the world, radically altering coastlines and creating new ocean areas. Not since the submersion of the legendary Atlantis has the world witnessed the actual physical disappearance of a state. The extreme vulnerability of low-lying coastal areas and islands to sea encroachment is now notorious, with the most serious threat being to the continued viability and actual existence of island states such as Tuvalu, Kiribati and the Marshall Islands. Among the likely scenarios for some of these vanishing islands countries in the course of the next century, there is the possibility that, by relocating their populations on artificial islands, they could continue having some sort of status analogous to statehood even if they were to lose all territory. As some political leaders in the Pacific Islands Region have already suggested, such man-made structures could become alternative human habitats for landless island peoples. This paper argues that the idea of using artificial islands as new national territories and / or futuristic human habitats is noteworthy, and yet to be taken under consideration by both the scientific and political communities.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [1,2];
Q3 = [];
Q4 = [14,22];
Q5 = [1];
Q6 = [0]. | abs03580 | gen.2013.94982553 | Dryland: Artificial Islands as New Oceanscapes | Climate change induced sea level rise now threatens to redraw the physical geographical map of the world, radically altering coastlines and creating new ocean areas. Not since the submersion of the legendary Atlantis has the world witnessed the actual physical disappearance of a state. The extreme vulnerability of low-lying coastal areas and islands to sea encroachment is now notorious, with the most serious threat being to the continued viability and actual existence of island states such as Tuvalu, Kiribati and the Marshall Islands. Among the likely scenarios for some of these vanishing islands countries in the course of the next century, there is the possibility that, by relocating their populations on artificial islands, they could continue having some sort of status analogous to statehood even if they were to lose all territory. As some political leaders in the Pacific Islands Region have already suggested, such man-made structures could become alternative human habitats for landless island peoples. This paper argues that the idea of using artificial islands as new national territories and / or futuristic human habitats is noteworthy, and yet to be taken under consideration by both the scientific and political communities. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Inequity and benefit incidence analysis in healthcare use among Syrian refugees in Egypt."
Abstract:"Background The Syrian conflict has created the worst humanitarian refugee crisis of our time, with the largest number of people displaced. Many have sought refuge in Egypt, where they are provided with the same access to healthcare services as Egyptian citizens. Nevertheless, in addition to the existing shortcomings of the Egyptian health system, many obstacles specifically limit refugees' access to healthcare. This study looks to assess equity across levels of care after observing services utilization among the Syrian refugees, and look at the humanitarian dilemma when facing resource allocation and the protection of the most vulnerable. Methods A cross-sectional survey was used and collected information related to access and utilization of outpatient and inpatient health services by Syrian refugees living in Egypt. We used concentration index (CI), horizontal inequity (HI) and benefit incidence analysis (BIA) to measure the inequity in the use of healthcare services and distribution of funding. We decomposed inequalities in utilization, using a linear approximation of a probit model to measure the contribution of need, non-need and consumption influential factors. Results We found pro-rich inequality and horizontal inequity in the probability of refugees' outpatient and inpatient health services utilization. Overall, poorer population groups have greater healthcare needs, while richer groups use the services more extensively. Decomposition analysis showed that the main contributor to inequality is socioeconomic status, with other elements such as large families, the presence of chronic disease and duration of asylum in Egypt further contributing to inequality. Benefit incidence analysis showed that the net benefit distribution of subsidies of UNHCR for outpatient and inpatient care is also pro-rich, after accounting for out-of-pocket expenditures. Conclusion Our results show that without equitable subsidies, poor refugees cannot afford healthcare services. To tackle health inequities, UNHCR and organisations will need to adapt programmes to address the social determinants of health, through interventions within many sectors. Our findings contribute to assessments of different levels of accessibility to healthcare services and uncover related sources of inequities that require further attention and advocacy by policymakers.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs20994 | 10.1186/s13031-021-00416-y | Inequity and benefit incidence analysis in healthcare use among Syrian refugees in Egypt | Background The Syrian conflict has created the worst humanitarian refugee crisis of our time, with the largest number of people displaced. Many have sought refuge in Egypt, where they are provided with the same access to healthcare services as Egyptian citizens. Nevertheless, in addition to the existing shortcomings of the Egyptian health system, many obstacles specifically limit refugees' access to healthcare. This study looks to assess equity across levels of care after observing services utilization among the Syrian refugees, and look at the humanitarian dilemma when facing resource allocation and the protection of the most vulnerable. Methods A cross-sectional survey was used and collected information related to access and utilization of outpatient and inpatient health services by Syrian refugees living in Egypt. We used concentration index (CI), horizontal inequity (HI) and benefit incidence analysis (BIA) to measure the inequity in the use of healthcare services and distribution of funding. We decomposed inequalities in utilization, using a linear approximation of a probit model to measure the contribution of need, non-need and consumption influential factors. Results We found pro-rich inequality and horizontal inequity in the probability of refugees' outpatient and inpatient health services utilization. Overall, poorer population groups have greater healthcare needs, while richer groups use the services more extensively. Decomposition analysis showed that the main contributor to inequality is socioeconomic status, with other elements such as large families, the presence of chronic disease and duration of asylum in Egypt further contributing to inequality. Benefit incidence analysis showed that the net benefit distribution of subsidies of UNHCR for outpatient and inpatient care is also pro-rich, after accounting for out-of-pocket expenditures. Conclusion Our results show that without equitable subsidies, poor refugees cannot afford healthcare services. To tackle health inequities, UNHCR and organisations will need to adapt programmes to address the social determinants of health, through interventions within many sectors. Our findings contribute to assessments of different levels of accessibility to healthcare services and uncover related sources of inequities that require further attention and advocacy by policymakers. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"HIV testing and treatment coverage achieved after 4 years across 14 urban and peri-urban communities in Zambia and South Africa: An analysis of findings from the HPTN 071 (PopART) trial."
Abstract:"Background In 2014, the Joint United Nations Programme on HIV/AIDS (UNAIDS) set the 90-90-90 targets: that 90% of people living with HIV know their HIV status, that 90% of those who know their HIV-positive status are on antiretroviral therapy (ART), and that 90% of those on treatment are virally suppressed. The aim was to reach these targets by 2020. We assessed the feasibility of achieving the first two targets, and the corresponding 81% ART coverage target, as part of the HIV Prevention Trials Network (HPTN) 071 Population Effects of Antiretroviral Therapy to Reduce HIV Transmission (PopART) community-randomized trial. Methods and findings The study population was individuals aged >= 15 years living in 14 urban and peri-urban PopART intervention communities in Zambia and South Africa (SA), with a total population of approximately 600,000 and approximately 15% adult HIV prevalence. Community HIV care providers (CHiPs) delivered the PopART intervention during 2014-2017. This was a combination HIV prevention package including universal home-based HIV testing, referral of HIV-positive individuals to government HIV clinic services that offered universal ART (Arm A) or ART according to national guidelines (Arm B), and revisits to HIV-positive individuals to support linkage to HIV care and retention on ART. The intervention was delivered in 3 rounds, each about 15 months long, during which CHiPs visited all households and aimed to contact all individuals aged >= 15 years at least once. In Arm A in Round 3 (R3), 67% (41,332/61,402) of men and 86% (56,345/65,896) of women in Zambia and 56% (17,813/32,095) of men and 71% (24,461/34,514) of women in SA participated in the intervention, among 193,907 residents aged >= 15 years. Following participation, HIV status was known by 90% of men and women in Zambia and by 78% of men and 85% of women in SA. The median time from CHIP referral of HIV-positive individuals to ART initiation was approximately 3 months. By the end of R3, an estimated 95% of HIV-positive women and 85% of HIV-positive men knew their HIV status, and among these individuals, approximately 90% of women and approximately 85% of men were on ART. ART coverage among all HIV-positive individuals was approximately 85% in women and approximately 75% in men, up from about 45% at the start of the study. ART coverage was lowest among men aged 18 to 34 and women aged 15 to 24 years, and among mobile individuals/in-migrants. Findings from Arm B were similar. The main limitations to our study were that estimates of testing and treatment coverage among men relied on considerable extrapolation because, in each round, approximately one-third of men did not participate in the PopART intervention; that our findings are for a service delivery model that was relatively intensive; and that we did not have comparable data from the 7 standard-of-care (Arm C) communities. Conclusions Our study showed that very high HIV testing and treatment coverage can be achieved t."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [1]. | abs20008 | 10.1371/journal.pmed.1003067 | HIV testing and treatment coverage achieved after 4 years across 14 urban and peri-urban communities in Zambia and South Africa: An analysis of findings from the HPTN 071 (PopART) trial | Background In 2014, the Joint United Nations Programme on HIV/AIDS (UNAIDS) set the 90-90-90 targets: that 90% of people living with HIV know their HIV status, that 90% of those who know their HIV-positive status are on antiretroviral therapy (ART), and that 90% of those on treatment are virally suppressed. The aim was to reach these targets by 2020. We assessed the feasibility of achieving the first two targets, and the corresponding 81% ART coverage target, as part of the HIV Prevention Trials Network (HPTN) 071 Population Effects of Antiretroviral Therapy to Reduce HIV Transmission (PopART) community-randomized trial. Methods and findings The study population was individuals aged >= 15 years living in 14 urban and peri-urban PopART intervention communities in Zambia and South Africa (SA), with a total population of approximately 600,000 and approximately 15% adult HIV prevalence. Community HIV care providers (CHiPs) delivered the PopART intervention during 2014-2017. This was a combination HIV prevention package including universal home-based HIV testing, referral of HIV-positive individuals to government HIV clinic services that offered universal ART (Arm A) or ART according to national guidelines (Arm B), and revisits to HIV-positive individuals to support linkage to HIV care and retention on ART. The intervention was delivered in 3 rounds, each about 15 months long, during which CHiPs visited all households and aimed to contact all individuals aged >= 15 years at least once. In Arm A in Round 3 (R3), 67% (41,332/61,402) of men and 86% (56,345/65,896) of women in Zambia and 56% (17,813/32,095) of men and 71% (24,461/34,514) of women in SA participated in the intervention, among 193,907 residents aged >= 15 years. Following participation, HIV status was known by 90% of men and women in Zambia and by 78% of men and 85% of women in SA. The median time from CHIP referral of HIV-positive individuals to ART initiation was approximately 3 months. By the end of R3, an estimated 95% of HIV-positive women and 85% of HIV-positive men knew their HIV status, and among these individuals, approximately 90% of women and approximately 85% of men were on ART. ART coverage among all HIV-positive individuals was approximately 85% in women and approximately 75% in men, up from about 45% at the start of the study. ART coverage was lowest among men aged 18 to 34 and women aged 15 to 24 years, and among mobile individuals/in-migrants. Findings from Arm B were similar. The main limitations to our study were that estimates of testing and treatment coverage among men relied on considerable extrapolation because, in each round, approximately one-third of men did not participate in the PopART intervention; that our findings are for a service delivery model that was relatively intensive; and that we did not have comparable data from the 7 standard-of-care (Arm C) communities. Conclusions Our study showed that very high HIV testing and treatment coverage can be achieved through persistent delivery of universal testing, facilitated linkage to HIV care, and universal treatment services. The ART coverage target of 81% was achieved overall, after 4 years of delivery of the PopART intervention, though important gaps remained among men and young people. Our findings are consistent with previously reported findings from southern and east Africa, extending their generalisability to urban settings with high rates of in-migration and mobility and to Zambia and SA. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Socioeconomic status and self-reported, screen-detected and total diabetes prevalence in Chinese men and women in 2011-2012: a nationwide cross-sectional study."
Abstract:"Background A rapid epidemiological transition is taking place in China and the association between socioeconomic status (SES) and diabetes prevalence is not clear and may vary by population characteristics and geography within the country. We describe the associations between educational level, annual household living expenditure (AHLE) and diabetes prevalence in a large middle-aged and elderly Chinese population using data from a nationwide cross-sectional study. Methods We used data from he China Health and Retirement Longitudinal Study, which collected information from interviews and blood tests from a nationwide sample of people over 44 years of age in 2011-2012. We used multivariable logistic regression to describe the association between highest levels of education (high school or above compared to illiterate) or AHLE (top vs bottom quartile) and self-reported, screen-detected or total diabetes prevalence. We stratified by sex and adjusted for age, education or AHLE (as appropriate), urban, rural or migrant residence status and geographical area. Results Complete data were available for 10 100 participants of whom 10.5% and 28.9% had the highest and the lowest levels of education respectively. Overall prevalence of self-reported diabetes was 6.0% and of screen-detected diabetes was 9.8%. Higher education level was associated with both self-reported diabetes (odds ratio (OR) = 2.41, 95% confidence interval CI = 1.36-4.46) and total diabetes (OR = 1.33 95%, CI = 1.10-2.15) only in men. AHLE was associated with self-reported diabetes in men (OR = 1.87, 95% CI = 1.26-2.84) and women (OR = 2.31, 95% CI = 1.62-3.34). There was no association between SES and screen-detected diabetes for men or women. Conclusions SES inequalities exist in prevalence of diabetes in China and can be used to inform approaches to prevention. Identification and appropriate intervention for people with undiagnosed diabetes is required for all SES groups.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
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Q6 = [1]. | abs02208 | 10.7189/jogh.08.020501 | Socioeconomic status and self-reported, screen-detected and total diabetes prevalence in Chinese men and women in 2011-2012: a nationwide cross-sectional study | Background A rapid epidemiological transition is taking place in China and the association between socioeconomic status (SES) and diabetes prevalence is not clear and may vary by population characteristics and geography within the country. We describe the associations between educational level, annual household living expenditure (AHLE) and diabetes prevalence in a large middle-aged and elderly Chinese population using data from a nationwide cross-sectional study. Methods We used data from he China Health and Retirement Longitudinal Study, which collected information from interviews and blood tests from a nationwide sample of people over 44 years of age in 2011-2012. We used multivariable logistic regression to describe the association between highest levels of education (high school or above compared to illiterate) or AHLE (top vs bottom quartile) and self-reported, screen-detected or total diabetes prevalence. We stratified by sex and adjusted for age, education or AHLE (as appropriate), urban, rural or migrant residence status and geographical area. Results Complete data were available for 10 100 participants of whom 10.5% and 28.9% had the highest and the lowest levels of education respectively. Overall prevalence of self-reported diabetes was 6.0% and of screen-detected diabetes was 9.8%. Higher education level was associated with both self-reported diabetes (odds ratio (OR) = 2.41, 95% confidence interval CI = 1.36-4.46) and total diabetes (OR = 1.33 95%, CI = 1.10-2.15) only in men. AHLE was associated with self-reported diabetes in men (OR = 1.87, 95% CI = 1.26-2.84) and women (OR = 2.31, 95% CI = 1.62-3.34). There was no association between SES and screen-detected diabetes for men or women. Conclusions SES inequalities exist in prevalence of diabetes in China and can be used to inform approaches to prevention. Identification and appropriate intervention for people with undiagnosed diabetes is required for all SES groups. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Quantifying Global International Migration Flows."
Abstract:"Widely available data on the number of people living outside of their country of birth do not adequately capture contemporary intensities and patterns of global migration flows. We present data on bilateral flows between 196 countries from 1990 through 2010 that provide a comprehensive view of international migration flows. Our data suggest a stable intensity of global 5-year migration flows at similar to 0.6% of world population since 1995. In addition, the results aid the interpretation of trends and patterns of migration flows to and from individual countries by placing them in a regional or global context. We estimate the largest movements to occur between South and West Asia, from Latin to North America, and within Africa.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
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Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [3,7];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs03384 | 10.1126/science.1248676 | Quantifying Global International Migration Flows | Widely available data on the number of people living outside of their country of birth do not adequately capture contemporary intensities and patterns of global migration flows. We present data on bilateral flows between 196 countries from 1990 through 2010 that provide a comprehensive view of international migration flows. Our data suggest a stable intensity of global 5-year migration flows at similar to 0.6% of world population since 1995. In addition, the results aid the interpretation of trends and patterns of migration flows to and from individual countries by placing them in a regional or global context. We estimate the largest movements to occur between South and West Asia, from Latin to North America, and within Africa. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"The First Modern Human Dispersals across Africa."
Abstract:"The emergence of more refined chronologies for climate change and archaeology in prehistoric Africa, and for the evolution of human mitochondrial DNA (mtDNA), now make it feasible to test more sophisticated models of early modern human dispersals suggested by mtDNA distributions. Here we have generated 42 novel whole-mtDNA genomes belonging to haplogroup L0, the most divergent clade in the maternal line of descent, and analysed them alongside the growing database of African lineages belonging to L0's sister clade, L1'6. We propose that the last common ancestor of modern human mtDNAs (carried by mitochondrial Eve) possibly arose in central Africa similar to 180 ka, at a time of low population size. By similar to 130 ka two distinct groups of anatomically modern humans co-existed in Africa: broadly, the ancestors of many modern-day Khoe and San populations in the south and a second central/eastern African group that includes the ancestors of most extant worldwide populations. Early modern human dispersals correlate with climate changes, particularly the tropical African megadroughts of MIS 5 (marine isotope stage 5, 135-75 ka) which paradoxically may have facilitated expansions in central and eastern Africa, ultimately triggering the dispersal out of Africa of people carrying haplogroup L3 similar to 60 ka. Two south to east migrations are discernible within haplogroup LO. One, between 120 and 75 ka, represents the first unambiguous long-range modern human dispersal detected by mtDNA and might have allowed the dispersal of several markers of modernity. A second one, within the last 20 ka signalled by L0d, may have been responsible for the spread of southern click-consonant languages to eastern Africa, contrary to the view that these eastern examples constitute relicts of an ancient, much wider distribution.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [1];
Q6 = [1]. | abs03503 | 10.1371/journal.pone.0080031 | The First Modern Human Dispersals across Africa | The emergence of more refined chronologies for climate change and archaeology in prehistoric Africa, and for the evolution of human mitochondrial DNA (mtDNA), now make it feasible to test more sophisticated models of early modern human dispersals suggested by mtDNA distributions. Here we have generated 42 novel whole-mtDNA genomes belonging to haplogroup L0, the most divergent clade in the maternal line of descent, and analysed them alongside the growing database of African lineages belonging to L0's sister clade, L1'6. We propose that the last common ancestor of modern human mtDNAs (carried by mitochondrial Eve) possibly arose in central Africa similar to 180 ka, at a time of low population size. By similar to 130 ka two distinct groups of anatomically modern humans co-existed in Africa: broadly, the ancestors of many modern-day Khoe and San populations in the south and a second central/eastern African group that includes the ancestors of most extant worldwide populations. Early modern human dispersals correlate with climate changes, particularly the tropical African megadroughts of MIS 5 (marine isotope stage 5, 135-75 ka) which paradoxically may have facilitated expansions in central and eastern Africa, ultimately triggering the dispersal out of Africa of people carrying haplogroup L3 similar to 60 ka. Two south to east migrations are discernible within haplogroup LO. One, between 120 and 75 ka, represents the first unambiguous long-range modern human dispersal detected by mtDNA and might have allowed the dispersal of several markers of modernity. A second one, within the last 20 ka signalled by L0d, may have been responsible for the spread of southern click-consonant languages to eastern Africa, contrary to the view that these eastern examples constitute relicts of an ancient, much wider distribution. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Resettlement, intergenerational memory, place attachment, and place identity in Rosia Jiu coal mine-Gorj County, Romania."
Abstract:"The present study was conducted in a traditional mining area in Romania-the Rovinari Carboniferous Basin-from which in 1976 the communist authorities relocated about 800 people, two churches, and a cemetery to a new location in the village of Iasi, Gorj County, in order to expand coal mining operations. Using the triangulation method, we gathered data from 139 questionnaires, 30 interviews, and ethnographic observations to highlight the ways in which the traumatic memories of the communist period are evoked today by the displaced population and perceived by the younger generation. Apart from some post-communist memories that cast the communist regime in a positive light, respondents largely condemned the regime, which, by threatening to take away their work, forced them to move to a new location. This relocation had profound implications in respondents' personal and family mentality represented first by the destruction of local cultural property or heritage and later by the appearance of trauma and respondents' implicit attachment to the places they had lost. The history of those times is taught through the intergenerational transmission of memories at home as a place of family identity or at church as the centre of spirituality for the Romanian village. Bringing household items from the old destroyed location to the new location strengthened respondents' postcommunist memory and helped to heal or alleviate their past trauma. However, beyond the differing political considerations expressed by those we interviewed and questioned, the complexity of post-communist memory, whichis tense and nuanced, remains relevant under deeper scrutiny.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [5,7];
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Q4 = [0];
Q5 = [];
Q6 = [0]. | abs18945 | 10.1016/j.jrurstud.2021.07.008 | Resettlement, intergenerational memory, place attachment, and place identity in Rosia Jiu coal mine-Gorj County, Romania | The present study was conducted in a traditional mining area in Romania-the Rovinari Carboniferous Basin-from which in 1976 the communist authorities relocated about 800 people, two churches, and a cemetery to a new location in the village of Iasi, Gorj County, in order to expand coal mining operations. Using the triangulation method, we gathered data from 139 questionnaires, 30 interviews, and ethnographic observations to highlight the ways in which the traumatic memories of the communist period are evoked today by the displaced population and perceived by the younger generation. Apart from some post-communist memories that cast the communist regime in a positive light, respondents largely condemned the regime, which, by threatening to take away their work, forced them to move to a new location. This relocation had profound implications in respondents' personal and family mentality represented first by the destruction of local cultural property or heritage and later by the appearance of trauma and respondents' implicit attachment to the places they had lost. The history of those times is taught through the intergenerational transmission of memories at home as a place of family identity or at church as the centre of spirituality for the Romanian village. Bringing household items from the old destroyed location to the new location strengthened respondents' postcommunist memory and helped to heal or alleviate their past trauma. However, beyond the differing political considerations expressed by those we interviewed and questioned, the complexity of post-communist memory, whichis tense and nuanced, remains relevant under deeper scrutiny. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Durable Solutions as Reparation for the Unjust Harms of Displacement: Who Owes What to Refugees?."
Abstract:"This article examines some of the theoretical and practical implications of understanding durable solutions as potential forms of reparation that can be offered to refugees for the unjust harms of displacement. It begins by making a basic moral case that durable solutions can act as forms of reparation, exploring the ways in which the creation or restoration of effective citizenship in a state through one of the durable solutions can go some way to providing restitution, compensation and satisfaction for refugees. It then discusses some considerations which need to be taken into account when seeking to identify which state should offer which durable solution as reparation to which refugees in any given case, such as the refugees' choice, their place of residence and social ties, their sense of group identity, and questions of state capacity and efficiency. Observing that bestowing a reparative function upon durable solutions would potentially create a tension with their classical humanitarian rationale, it moves to explore how this tension might be navigated, with particular reference to the question of how states with limited resources should prioritize the needs of refugees for whose flight they are morally responsible vis-a-vis refugees for whose flight they are not responsible.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs15447 | 10.1093/jrs/fet027 | Durable Solutions as Reparation for the Unjust Harms of Displacement: Who Owes What to Refugees? | This article examines some of the theoretical and practical implications of understanding durable solutions as potential forms of reparation that can be offered to refugees for the unjust harms of displacement. It begins by making a basic moral case that durable solutions can act as forms of reparation, exploring the ways in which the creation or restoration of effective citizenship in a state through one of the durable solutions can go some way to providing restitution, compensation and satisfaction for refugees. It then discusses some considerations which need to be taken into account when seeking to identify which state should offer which durable solution as reparation to which refugees in any given case, such as the refugees' choice, their place of residence and social ties, their sense of group identity, and questions of state capacity and efficiency. Observing that bestowing a reparative function upon durable solutions would potentially create a tension with their classical humanitarian rationale, it moves to explore how this tension might be navigated, with particular reference to the question of how states with limited resources should prioritize the needs of refugees for whose flight they are morally responsible vis-a-vis refugees for whose flight they are not responsible. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"From the barrier to refugee law: national security's transformation from a balancing right to a background element in the realms of Israeli constitutionalism."
Abstract:"Mapping cardinal cases of the Israeli Supreme Court, the article will demonstrate how, in the Israeli constitutional experience, the concept of national security came to be transformed from a balancing right to a background element. Along these lines, the article will argue that while Israeli constitutionalism indeed awarded national security parameters a decisive role in the realms of the human rights balance judicial discourse, it equally embarked on a procedure of delineating the existence of national security as an autonomous consideration, in cases where national security exigencies ceased to be obvious in the Israeli reality. Compelling the examination of a national security debate under the human rights lens, the Israeli Supreme Court aligned its jurisprudence with that of other supreme courts as well as with the international thematic constitutionalism model, aspiring to interpret the different fields of laws and various provisions under the concept of the right to dignity.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [5];
Q3 = [0];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs15324 | 10.1080/13642987.2015.1027063 | From the barrier to refugee law: national security's transformation from a balancing right to a background element in the realms of Israeli constitutionalism | Mapping cardinal cases of the Israeli Supreme Court, the article will demonstrate how, in the Israeli constitutional experience, the concept of national security came to be transformed from a balancing right to a background element. Along these lines, the article will argue that while Israeli constitutionalism indeed awarded national security parameters a decisive role in the realms of the human rights balance judicial discourse, it equally embarked on a procedure of delineating the existence of national security as an autonomous consideration, in cases where national security exigencies ceased to be obvious in the Israeli reality. Compelling the examination of a national security debate under the human rights lens, the Israeli Supreme Court aligned its jurisprudence with that of other supreme courts as well as with the international thematic constitutionalism model, aspiring to interpret the different fields of laws and various provisions under the concept of the right to dignity. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"EMPIRICAL APPROACH TO THE USE OF DIAGNOSTIC TECHNOLOGY. A SPATIAL ANALYSIS BY AUTONOMOUS COMMUNITIES."
Abstract:"Background and Objective: In health, there is concern about people's access to high-tech diagnostic (HTD), because the existence of such technology does not guarantee equity and access for all the people of the same territory. Therefore, the aim of this study is twofold: analyzing whether the use of HTD is similar throughout the Spanish territory and second, showing how spatial analysis is a suitable technique to work inequalities in health. Methods: We conduct a spatial analysis which seeks to study HTD in the autonomous communities (ACs), taking into account various Spanish groups and variables: population over 65 years, immigrant population, per capita income and private health coverage. Results: We show that there is variability of behaviour in the use of HTD in the 17 ACs that make up the Spanish territory, taking into account some of the groups analyzed. Conclusions: As for the population of the elderly, it cannot be said that the ACs with the highest percentage present the greatest expenditure in diagnostic tests for HTD. As regards the immigrant population, only the per capita number of studies with hemodialysis machines shows a positive relationship with this group. Regarding the relationship between per capita income and the number of studies on HTD per AC, no statistically significant relationship between both variables was found. Finally, it cannot be said that the autonomous communities with a higher proportion of the population with private health coverage perform fewer HTD tests in public health.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [0];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [1]. | abs04169 | gen.2010.97650759 | EMPIRICAL APPROACH TO THE USE OF DIAGNOSTIC TECHNOLOGY. A SPATIAL ANALYSIS BY AUTONOMOUS COMMUNITIES | Background and Objective: In health, there is concern about people's access to high-tech diagnostic (HTD), because the existence of such technology does not guarantee equity and access for all the people of the same territory. Therefore, the aim of this study is twofold: analyzing whether the use of HTD is similar throughout the Spanish territory and second, showing how spatial analysis is a suitable technique to work inequalities in health. Methods: We conduct a spatial analysis which seeks to study HTD in the autonomous communities (ACs), taking into account various Spanish groups and variables: population over 65 years, immigrant population, per capita income and private health coverage. Results: We show that there is variability of behaviour in the use of HTD in the 17 ACs that make up the Spanish territory, taking into account some of the groups analyzed. Conclusions: As for the population of the elderly, it cannot be said that the ACs with the highest percentage present the greatest expenditure in diagnostic tests for HTD. As regards the immigrant population, only the per capita number of studies with hemodialysis machines shows a positive relationship with this group. Regarding the relationship between per capita income and the number of studies on HTD per AC, no statistically significant relationship between both variables was found. Finally, it cannot be said that the autonomous communities with a higher proportion of the population with private health coverage perform fewer HTD tests in public health. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"America's health care safety net: Revisiting the 2000 IOM report."
Abstract:"The committee that wrote the 2000 Institute of Medicine report on the health care safety net reconvened in 2006 to reflect on the safety net from the perspective of rising numbers of uninsured and underinsured people, the aftermath of Hurricane Katrina, high immigration levels, and new fiscal and policy pressures on care for vulnerable populations. Safety-net providers now participate in Medicaid managed care but find it difficult to meet growing needs for specialty services, particularly mental health care and affordable prescription drugs. How current state reforms and coverage expansions will affect care for the poor and uninsured is a critical issue.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [1]. | abs04501 | 10.1377/hlthaff.26.5.1490 | America's health care safety net: Revisiting the 2000 IOM report | The committee that wrote the 2000 Institute of Medicine report on the health care safety net reconvened in 2006 to reflect on the safety net from the perspective of rising numbers of uninsured and underinsured people, the aftermath of Hurricane Katrina, high immigration levels, and new fiscal and policy pressures on care for vulnerable populations. Safety-net providers now participate in Medicaid managed care but find it difficult to meet growing needs for specialty services, particularly mental health care and affordable prescription drugs. How current state reforms and coverage expansions will affect care for the poor and uninsured is a critical issue. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Dermatological problems of asylum seekers arriving on boats: A case report from Australia and a brief review."
Abstract:"Assessing the skin of asylum seekers, immigrants, migrant workers, tourists or even locals who return from abroad, can be a confronting task due to the possibility of such people having non-autochthonous diseases. Primary-care physicians and dermatologists need to have a systematic approach in the assessment of such dermatoses. This article describes an interesting case of possible kerosene-induced and diesel-induced skin injury in an asylum seeker arriving on a boat. Dermatological conditions in asylum seekers and a suggested template for skin assessment are discussed.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4];
Q3 = [];
Q4 = [0];
Q5 = [0];
Q6 = [0]. | abs07520 | 10.1111/ajd.12183 | Dermatological problems of asylum seekers arriving on boats: A case report from Australia and a brief review | Assessing the skin of asylum seekers, immigrants, migrant workers, tourists or even locals who return from abroad, can be a confronting task due to the possibility of such people having non-autochthonous diseases. Primary-care physicians and dermatologists need to have a systematic approach in the assessment of such dermatoses. This article describes an interesting case of possible kerosene-induced and diesel-induced skin injury in an asylum seeker arriving on a boat. Dermatological conditions in asylum seekers and a suggested template for skin assessment are discussed. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Their Stories Have Changed My Life: Clinicians' Reflections on Their Experience with and Their Motivation to Conduct Asylum Evaluations."
Abstract:"Many clinicians perform asylum evaluations yet no studies describe the motivation to perform them or their perceived rewards. The number of asylum seekers in the US is increasing and more clinicians are needed as evaluators. A survey to an asylum evaluators' network asked participants to qualitatively reflect on their experience and motivation. Answers were analyzed for themes and sentiment. Respondents cited commitment to humanistic and moral values, noted personal and family experiences, having skills, expertise, and career interests as drivers. They found the experience very rewarding personally and professionally, and in their perceived benefit to asylees. Negative sentiment was less frequent and centered on emotions related to client narratives. Process-oriented frustrations were also noted. This is the first published study describing clinicians' motivation and experience with asylum evaluations. It may illuminate clinicians' drive to volunteer, and serve as a resource for organizations for recruitment and education.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [0]. | abs14912 | 10.1007/s10903-014-0144-2 | Their Stories Have Changed My Life: Clinicians' Reflections on Their Experience with and Their Motivation to Conduct Asylum Evaluations | Many clinicians perform asylum evaluations yet no studies describe the motivation to perform them or their perceived rewards. The number of asylum seekers in the US is increasing and more clinicians are needed as evaluators. A survey to an asylum evaluators' network asked participants to qualitatively reflect on their experience and motivation. Answers were analyzed for themes and sentiment. Respondents cited commitment to humanistic and moral values, noted personal and family experiences, having skills, expertise, and career interests as drivers. They found the experience very rewarding personally and professionally, and in their perceived benefit to asylees. Negative sentiment was less frequent and centered on emotions related to client narratives. Process-oriented frustrations were also noted. This is the first published study describing clinicians' motivation and experience with asylum evaluations. It may illuminate clinicians' drive to volunteer, and serve as a resource for organizations for recruitment and education. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Expanding Sanctuary: The City of Sanctuary Movement in London."
Abstract:"The City of Sanctuary (CoS) in the United Kingdom aims to create a culture of welcome for asylum seekers and refugees. This is a politically limited approach because it overlooks the effects of other hostile immigration policies. The emergence of the sanctuary movement as 'Boroughs of Sanctuary' (BoS) in London brings these shortcomings into sharp focus, as many residents have other precarious immigration statuses. This article examines the extent to which the Lewisham and Southwark BoS initiatives have successfully negotiated and reconfigured sanctuary at a local level to address this urban complexity. In doing so, it engages with different actors, institutions and factions involved in building sanctuary. While the CoS' exclusionary politics of asylum is still being reproduced in many ways, people with precarious immigration status are co-opting and reconfiguring the sanctuary framework in ways that expand the asylum-oriented focus of the movement and address the broader violence of the hostile environment.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [5];
Q3 = [2];
Q4 = [0];
Q5 = [1];
Q6 = [0]. | abs05399 | 10.1177/08969205231151599 | Expanding Sanctuary: The City of Sanctuary Movement in London | The City of Sanctuary (CoS) in the United Kingdom aims to create a culture of welcome for asylum seekers and refugees. This is a politically limited approach because it overlooks the effects of other hostile immigration policies. The emergence of the sanctuary movement as 'Boroughs of Sanctuary' (BoS) in London brings these shortcomings into sharp focus, as many residents have other precarious immigration statuses. This article examines the extent to which the Lewisham and Southwark BoS initiatives have successfully negotiated and reconfigured sanctuary at a local level to address this urban complexity. In doing so, it engages with different actors, institutions and factions involved in building sanctuary. While the CoS' exclusionary politics of asylum is still being reproduced in many ways, people with precarious immigration status are co-opting and reconfiguring the sanctuary framework in ways that expand the asylum-oriented focus of the movement and address the broader violence of the hostile environment. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"EU Refugee Qualification Directive: a Brave New World?."
Abstract:"This article aims to map some of the major implications for asylum-related law in Europe of the Refugee Qualification Directive, which twenty-four EU Member States were required to implement by 10 October 2006. It seeks to build on important studies of the Directive completed by, among others, Hemme Battjes, in his book European Asylum Law and International Law, Nijhoff 2006, and Jane McAdam, in her book Complementary Protection in International Refugee Law, OUP 2007, albeit it takes a different view of some key questions. Part 2 deals with the impact of the Directive on the application and interpretation of the 1951 Refugee Convention and its 1967 Protocol. It is argued that, even read simply as a set of provisions giving interpretive guidelines on the application of the Refugee Convention, it affects many things concerned with refugee eligibility, since these provisions cover key elements of the refugee definition. Part 3 deals with the impact of the Directive on the asylum-related human rights jurisdiction that currently prevails in Europe in one form or another. 1 It is argued that the effect of the Directive is and must be to render Article 3 ECHR protection - or its domestic equivalent - a largely residual category, save in exclusion cases. Part 4 addresses to what extent, if at all, the Directive contains mandatory provisions and how, post-implementation, these can be integrated into the national law of Member States. It is argued that, considered in purely textual terms, the key definitional and interpretive provisions of the Directive are mostly in mandatory form. Further, that whilst, by virtue of being a minimum standards directive, the Directive allows Member States to introduce or retain more favourable standards (A3), the same article stipulates that such standards must be compatible with the Directive. That proviso is of some importance given that the Directive's preamble (at R7) identifies as one objective the avoidance of secondary movements. In relation to articles of the Directive which specify in mandatory terms how elements of the refugee definition are to be applied, Member States cannot be free to introduce or retain differing standards. Parts 5 and 6 analyse suggested differences, first, between the Directive's refugee definition and the Refugee Convention (it is argued that the only potential difference of real significance concerns the Directive's rendering of the Article 1F exclusion clauses of the Refugee Convention) and, secondly, between the Directive's subsidiary protection definition and Article 3 ECHR. The extent of symmetry between the new subsidiary protection criteria and ECHR protection under Article 3 is explored, in particular, arguing that, whilst there are three respects in which subsidiary protection criteria are narrower (relating to personal scope; the existence of cessation and exclusion clauses; and limited application to 'health cases'), there may be limited respects in which it may be broader in sco."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
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Q6 = [0]. | abs07832 | 10.1093/ijrl/een012 | EU Refugee Qualification Directive: a Brave New World? | This article aims to map some of the major implications for asylum-related law in Europe of the Refugee Qualification Directive, which twenty-four EU Member States were required to implement by 10 October 2006. It seeks to build on important studies of the Directive completed by, among others, Hemme Battjes, in his book European Asylum Law and International Law, Nijhoff 2006, and Jane McAdam, in her book Complementary Protection in International Refugee Law, OUP 2007, albeit it takes a different view of some key questions. Part 2 deals with the impact of the Directive on the application and interpretation of the 1951 Refugee Convention and its 1967 Protocol. It is argued that, even read simply as a set of provisions giving interpretive guidelines on the application of the Refugee Convention, it affects many things concerned with refugee eligibility, since these provisions cover key elements of the refugee definition. Part 3 deals with the impact of the Directive on the asylum-related human rights jurisdiction that currently prevails in Europe in one form or another. 1 It is argued that the effect of the Directive is and must be to render Article 3 ECHR protection - or its domestic equivalent - a largely residual category, save in exclusion cases. Part 4 addresses to what extent, if at all, the Directive contains mandatory provisions and how, post-implementation, these can be integrated into the national law of Member States. It is argued that, considered in purely textual terms, the key definitional and interpretive provisions of the Directive are mostly in mandatory form. Further, that whilst, by virtue of being a minimum standards directive, the Directive allows Member States to introduce or retain more favourable standards (A3), the same article stipulates that such standards must be compatible with the Directive. That proviso is of some importance given that the Directive's preamble (at R7) identifies as one objective the avoidance of secondary movements. In relation to articles of the Directive which specify in mandatory terms how elements of the refugee definition are to be applied, Member States cannot be free to introduce or retain differing standards. Parts 5 and 6 analyse suggested differences, first, between the Directive's refugee definition and the Refugee Convention (it is argued that the only potential difference of real significance concerns the Directive's rendering of the Article 1F exclusion clauses of the Refugee Convention) and, secondly, between the Directive's subsidiary protection definition and Article 3 ECHR. The extent of symmetry between the new subsidiary protection criteria and ECHR protection under Article 3 is explored, in particular, arguing that, whilst there are three respects in which subsidiary protection criteria are narrower (relating to personal scope; the existence of cessation and exclusion clauses; and limited application to 'health cases'), there may be limited respects in which it may be broader in scope than Article 3 ECHR. Part 7 examines patterns of implementation in the light of early evidence to hand from, for example, the November 2007 UNHCR survey of five Member States. The UK is considered as a further example, that of a member state where, despite it being seen as unnecessary to make any substantial changes, the implementing measures have required important changes in method of approach and in conceptual language. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"If in doubt, count: the role of community-driven enumerations in blocking eviction in Old Fadama, Accra."
Abstract:"This paper describes the community-driven enumerations undertaken in Old Fadama, the largest informal settlement in Accra, which has long been threatened with eviction. After meeting with members of shack dweller federations from other nations, residents formed the Ghana Homeless People's Federation in 2003 (now known as the Ghana Federation of the Urban Poor (GHAFUP). Together with the NGO People's Dialogue on Human Settlements, they supported the first community-driven enumeration in Old Fadama in 2004 to counter the threat of eviction, by showing the large scale of economic activities in the community and the gap in accurate population data. This was followed by further enumerations, in 2006-2007 and in 2009, to counter new eviction threats from new city governments. These enumerations increased the residents' confidence, empowering them in terms of engagement with city government. They also changed government's perspective on informal settlements and helped shape policy away from forced evictions towards participatory relocations or rehabilitation.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [3];
Q3 = [2];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs03815 | 10.1177/0956247811434478 | If in doubt, count: the role of community-driven enumerations in blocking eviction in Old Fadama, Accra | This paper describes the community-driven enumerations undertaken in Old Fadama, the largest informal settlement in Accra, which has long been threatened with eviction. After meeting with members of shack dweller federations from other nations, residents formed the Ghana Homeless People's Federation in 2003 (now known as the Ghana Federation of the Urban Poor (GHAFUP). Together with the NGO People's Dialogue on Human Settlements, they supported the first community-driven enumeration in Old Fadama in 2004 to counter the threat of eviction, by showing the large scale of economic activities in the community and the gap in accurate population data. This was followed by further enumerations, in 2006-2007 and in 2009, to counter new eviction threats from new city governments. These enumerations increased the residents' confidence, empowering them in terms of engagement with city government. They also changed government's perspective on informal settlements and helped shape policy away from forced evictions towards participatory relocations or rehabilitation. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Advances in Crowd Analysis for Urban Applications Through Urban Event Detection."
Abstract:"The recent expansion of pervasive computing technology has contributed with novel means to pursue human activities in urban space. The urban dynamics unveiled by these means generate an enormous amount of data. These data are mainly endowed by portable and radio-frequency devices, transportation systems, video surveillance, satellites, unmanned aerial vehicles, and social networking services. This has opened a new avenue of opportunities, to understand and predict urban dynamics in detail, and plan various real-time services and applications in response to that. Over the last decade, certain aspects of the crowd, e.g., mobility, sentimental, size estimation and behavioral, have been analyzed in detail and the outcomes have been reported. This paper mainly conducted an extensive survey on various data sources used for different urban applications, the state-of-the-art on urban data generation techniques and associated processing methods in order to demonstrate their merits and capabilities. Then, available open-access crowd data sets for urban event detection are provided along with relevant application programming interfaces. In addition, an outlook on a support system for urban application is provided which fuses data from all the available pervasive technology sources and finally, some open challenges and promising research directions are outlined.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [0];
Q3 = [0];
Q4 = [0];
Q5 = [0];
Q6 = [1]. | abs13848 | 10.1109/TITS.2017.2771746 | Advances in Crowd Analysis for Urban Applications Through Urban Event Detection | The recent expansion of pervasive computing technology has contributed with novel means to pursue human activities in urban space. The urban dynamics unveiled by these means generate an enormous amount of data. These data are mainly endowed by portable and radio-frequency devices, transportation systems, video surveillance, satellites, unmanned aerial vehicles, and social networking services. This has opened a new avenue of opportunities, to understand and predict urban dynamics in detail, and plan various real-time services and applications in response to that. Over the last decade, certain aspects of the crowd, e.g., mobility, sentimental, size estimation and behavioral, have been analyzed in detail and the outcomes have been reported. This paper mainly conducted an extensive survey on various data sources used for different urban applications, the state-of-the-art on urban data generation techniques and associated processing methods in order to demonstrate their merits and capabilities. Then, available open-access crowd data sets for urban event detection are provided along with relevant application programming interfaces. In addition, an outlook on a support system for urban application is provided which fuses data from all the available pervasive technology sources and finally, some open challenges and promising research directions are outlined. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Social sensing of flood impacts in India: A case study of Kerala 2018."
Abstract:"Flooding is a major hazard that is responsible for substantial damage and risks to human health worldwide. The 2018 flood event in Kerala, India, killed 433 people and displaced more than 1 million people from their homes. Accurate and timely information can help mitigate the impacts of flooding through better preparedness (e.g. forecasting of flood impacts) and situational awareness (e.g. more effective civil response and relief). However, good information on flood impacts is difficult to source; governmental records are often slow and costly to produce, while insurance claim data is commercially sensitive and does not exist for many vulnerable populations. Here we explore social sensing - the systematic collection and analysis of social media data to observe real-world events - as a method to locate and characterise the impacts (social, economic and other) of the 2018 Kerala Floods. Data is collected from two social media platforms, Telegram and Twitter, as well as a citizen-produced relief coordination web application, Kerala Rescue, and a government flood damage database, Rebuild Kerala. After careful filtering to retain only flood-related social media posts, content is analysed to map the extent of flood impacts and to identify different kinds of impact (e.g. requests for help, reports of medical or other issues). Maps of flood impacts derived from Telegram and Twitter both show substantial agreement with Kerala Rescue and the damage reports from Rebuild Kerala. Social media content also detects similar kinds of impact to those reported through the more structured Kerala Rescue application. Overall, the results suggest that social sensing can be an effective source of flood impact information that produces outputs in broad agreement with government sources. Furthermore, social sensing information can be produced in near real-time, whereas government records take several months to produce. This suggests that social sensing may be a useful data source to guide decisions around flood relief and emergency response.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [1,2];
Q3 = [2];
Q4 = [26];
Q5 = [1];
Q6 = [1]. | abs00634 | 10.1016/j.ijdrr.2022.102908 | Social sensing of flood impacts in India: A case study of Kerala 2018 | Flooding is a major hazard that is responsible for substantial damage and risks to human health worldwide. The 2018 flood event in Kerala, India, killed 433 people and displaced more than 1 million people from their homes. Accurate and timely information can help mitigate the impacts of flooding through better preparedness (e.g. forecasting of flood impacts) and situational awareness (e.g. more effective civil response and relief). However, good information on flood impacts is difficult to source; governmental records are often slow and costly to produce, while insurance claim data is commercially sensitive and does not exist for many vulnerable populations. Here we explore social sensing - the systematic collection and analysis of social media data to observe real-world events - as a method to locate and characterise the impacts (social, economic and other) of the 2018 Kerala Floods. Data is collected from two social media platforms, Telegram and Twitter, as well as a citizen-produced relief coordination web application, Kerala Rescue, and a government flood damage database, Rebuild Kerala. After careful filtering to retain only flood-related social media posts, content is analysed to map the extent of flood impacts and to identify different kinds of impact (e.g. requests for help, reports of medical or other issues). Maps of flood impacts derived from Telegram and Twitter both show substantial agreement with Kerala Rescue and the damage reports from Rebuild Kerala. Social media content also detects similar kinds of impact to those reported through the more structured Kerala Rescue application. Overall, the results suggest that social sensing can be an effective source of flood impact information that produces outputs in broad agreement with government sources. Furthermore, social sensing information can be produced in near real-time, whereas government records take several months to produce. This suggests that social sensing may be a useful data source to guide decisions around flood relief and emergency response. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Legislative crystallization of covid-19 securitization processes.The case of Spain. From Law 4/1981 on states of alarm, exception and siege to Law 2/2021 on measures for the management of the pandemic."
Abstract:"EXTENDED ABSTRACT The aim of this article is to present a theoretical-methodological proposal based on a model of analysis from the Copenhagen School of Security Studies, which incorporates the examination of legislative texts into the study of securitization processes. With this objective, we propose an approach to the study of the securitization of the Covid-19 pandemic through the comparative analysis of two texts that have given legislative coverage to the management of this health crisis in Spain. The text of (1) Organic Law 4/1981 on the states of alarm, exception and siege; and the text of (2) Law 2/2021 of the Basque Parliament on measures for managing the pandemic. After the publication of Security:A New Framework For Analysis (Buzan et al.1997), numerous investigations have used the securitization analysis model of the Copenhagen School of Security Studies to study security policies on phenomena such as migratory movements (Muller and Gerbauer, 2021), the climate emergency, or the health crisis of Covid-19 by examining the texts published on social media (Karyotis et al., 2021),or the analysis of the audiences (Bengtsson and Rhinard, 2019) or political discourses (Kuleteva and Clifford, 2021). Securitization theory holds that what gives an issue the status of threat results from an interaction between an actor, whether it is a state, an organization, or the media, and which tries to define a certain problem as an existential threat, and an audience that accepts or rejects this attempt. Under this premise, security is considered a social construct, which has enormous consequences when it comes to its study. The analysis of the security agenda no longer consists of evaluating those threats considered real, but rather aims at the communicative processes through which actors and audiences agree to securitize an issue. The contributions of Balzacq (2005), Salter (2008) and Stritzel (2007;2012), among others, have also broadened the objects of study of securitization, which have ceased to be exclusively texts of a political nature communicated in a linear manner to incorporate also the audience as an agent that interacts and participates in the creation of the securitizing discourse, the performance associated with the execution of the discourse or the interactivity of the discourse in socio-digital networks. However, despite this diversification in the approach to the study of securitization, most research continues to focus on texts belonging to political or media discourse. There is an absence of analysis of securitization in other types of texts, such as those of a legislative nature which are also interesting to study within the framework of these processes. That is, texts that, in many cases, give legislative coverage to the application of security policies and could represent the legal crystallization of previous political-media discourses. That said, given the legal nature of the texts examined in this article, it is important to make."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [0]. | abs00198 | 10.15366/relacionesinternacionales2023.52.003 | Legislative crystallization of covid-19 securitization processes.The case of Spain. From Law 4/1981 on states of alarm, exception and siege to Law 2/2021 on measures for the management of the pandemic | EXTENDED ABSTRACT The aim of this article is to present a theoretical-methodological proposal based on a model of analysis from the Copenhagen School of Security Studies, which incorporates the examination of legislative texts into the study of securitization processes. With this objective, we propose an approach to the study of the securitization of the Covid-19 pandemic through the comparative analysis of two texts that have given legislative coverage to the management of this health crisis in Spain. The text of (1) Organic Law 4/1981 on the states of alarm, exception and siege; and the text of (2) Law 2/2021 of the Basque Parliament on measures for managing the pandemic. After the publication of Security:A New Framework For Analysis (Buzan et al.1997), numerous investigations have used the securitization analysis model of the Copenhagen School of Security Studies to study security policies on phenomena such as migratory movements (Muller and Gerbauer, 2021), the climate emergency, or the health crisis of Covid-19 by examining the texts published on social media (Karyotis et al., 2021),or the analysis of the audiences (Bengtsson and Rhinard, 2019) or political discourses (Kuleteva and Clifford, 2021). Securitization theory holds that what gives an issue the status of threat results from an interaction between an actor, whether it is a state, an organization, or the media, and which tries to define a certain problem as an existential threat, and an audience that accepts or rejects this attempt. Under this premise, security is considered a social construct, which has enormous consequences when it comes to its study. The analysis of the security agenda no longer consists of evaluating those threats considered real, but rather aims at the communicative processes through which actors and audiences agree to securitize an issue. The contributions of Balzacq (2005), Salter (2008) and Stritzel (2007;2012), among others, have also broadened the objects of study of securitization, which have ceased to be exclusively texts of a political nature communicated in a linear manner to incorporate also the audience as an agent that interacts and participates in the creation of the securitizing discourse, the performance associated with the execution of the discourse or the interactivity of the discourse in socio-digital networks. However, despite this diversification in the approach to the study of securitization, most research continues to focus on texts belonging to political or media discourse. There is an absence of analysis of securitization in other types of texts, such as those of a legislative nature which are also interesting to study within the framework of these processes. That is, texts that, in many cases, give legislative coverage to the application of security policies and could represent the legal crystallization of previous political-media discourses. That said, given the legal nature of the texts examined in this article, it is important to make clear that the analysis proposed is, following the model of the Copenhagen School, a discursive analysis. This article does not carry out a legal analysis of the documents or a study on the legal consequences of the implementation of these laws, a study that would need another theoretical-methodological approach. Without conducting a legal analysis, we propose to observe the discursive construction of security that underlies the texts analyzed and the consequences that, according to the hypothesis of the Copenhagen School, this entails. Thus, the current analysis is about the securitization processes of the Covid-19 crisis. This health crisis has been one of the most disruptive episodes globally in recent decades. The unexpected appearance of the virus and its rapid spread made Covid-19, in just a few weeks, as UN Secretary General Antonio Guterres pointed out, the greatest threat to global security. The pandemic surpassed any of the established international protocols, and the lack of multilateral agreements between different countries and measures against the virus showed in turn a lack of global governance to deal with this type of threat. At first sight, we could say that Covid-19, an illness that, being new, poses a threat to the health of the entire world population since most people do not have immunity against it. However, this health crisis is once again a good scenario in which to observe that the threat is perceived and constructed in a very diverse way among the population. The study by Kirk (2022) on the securitization of Covid-19 in the United States refers to this. She analyzes the discursive battle between different security narratives about the health crisis in a country where the wearing or not wearing of a mask in public places often becomes an expression of a political position. The delimitation of the object of study to the examination of the texts of the Organic Law 4/1981 on states of alarm, exception, and siege, and (2) the Law 2/2021 of the Basque Parliament on measures for the management of the pandemic, is done for several reasons. In the first place, both texts, of an eminently legal nature, respond to the necessary characteristics to carry out the analysis in accordance with the objective of the study. Secondly, despite the substantial differences that both laws maintain in their preamble and the context of their drafting, the two texts have served as a legal framework for taking measures to deal with similar events, specifically, the crisis health of covid-19. This allows, following the proposal of the Copenhagen School, to contextualize the analysis of the securitization construction of the texts based on these facts. Third, the choice of texts, which share a legal framework, responds to the proposal to carry out an analysis of a state nature, and not an international one, given the prominence of state legislation in the coverage of policies and implementation of the security measures against the covid-19 disease because of the lack of international legal frameworks. The article is structured in three parts. In the first section, a brief theoretical-methodological approach is elaborated on the evolution of security research in the field of International Relations and to the theory of securitization developed by the Copenhagen School. In the second, the context of the global health crisis and the case of Spain are described together with the securitization processes that accompany it. Thirdly, the documents examined and the operationalization that allows their analysis are presented. Subsequently, the discussion on the results and conclusions is addressed. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Stress, Social Support, and Mental Health Among Young Adult Hispanics."
Abstract:"National health goals include assessing and improving mental health in understudied US populations. We surveyed 274 individuals (18-35 years old) of Hispanic/Latino/Spanish origin residing in the United States. Participants reported poor general mental health compared with Healthy People goals. Stress was negatively associated and perceived supportive communication was positively associated with mental health. A 3-way interaction showed perceived supportive communication mitigated the negative effect of stress on mental health, and perceptions of tangible support without supportive communication degraded overall mental health. Theoretical and practical implications for social support and Hispanic population mental health are discussed.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [6];
Q3 = [1];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs01771 | 10.1097/FCH.0000000000000224 | Stress, Social Support, and Mental Health Among Young Adult Hispanics | National health goals include assessing and improving mental health in understudied US populations. We surveyed 274 individuals (18-35 years old) of Hispanic/Latino/Spanish origin residing in the United States. Participants reported poor general mental health compared with Healthy People goals. Stress was negatively associated and perceived supportive communication was positively associated with mental health. A 3-way interaction showed perceived supportive communication mitigated the negative effect of stress on mental health, and perceptions of tangible support without supportive communication degraded overall mental health. Theoretical and practical implications for social support and Hispanic population mental health are discussed. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Allergen sensitisation among chronic respiratory diseases in urban and rural areas of the south of Viet Nam."
Abstract:"OBJECTIVE : To evaluate the prevalence of and risk factors for allergen sensitisation among patients with chronic respiratory disease (CRD) in southern Viet Nam. DESIGN: An environmental questionnaire and skin prick tests for airborne and food allergens were administered to patients with CRD, defined as individuals with respiratory symptoms and lung function defects. RESULTS : Of 610 CRD patients, 56% had chronic obstructive pulmonary disease and 31% were asthma patients; 80% were males. The most frequent sensitisers were dust mites (Dermatophagoides farinae 22%, Blomia tropicalis 19%, D. pteronyssinus 18%) and cockroach droppings (13%). Among study participants, 37% were from rural settings and 36% from urban areas, whereas 27% had migrated from rural to urban areas. Compared with people from rural areas, being born in an urban area was a risk factor for sensitisation to mites (OR 1.56, 95% CI 1.11-2.20, P < 0.02). In multivariate analysis, place of birth remained a risk factor for mite sensitisation. Compared with the native urban population, the risk of mite sensitisation was not significantly different among patients born in rural areas and those migrating to urban areas. CONCLUSION: Dust mites and cockroach droppings were the most frequent allergens among people with CRD in the south of Viet Nam. Compared with the urban population, being native to a rural area was protective against mite sensitisation, but this effect ceased to be significant after migration from rural to urban areas.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [0];
Q6 = [1]. | abs02397 | 10.5588/ijtld.17.0069 | Allergen sensitisation among chronic respiratory diseases in urban and rural areas of the south of Viet Nam | OBJECTIVE : To evaluate the prevalence of and risk factors for allergen sensitisation among patients with chronic respiratory disease (CRD) in southern Viet Nam. DESIGN: An environmental questionnaire and skin prick tests for airborne and food allergens were administered to patients with CRD, defined as individuals with respiratory symptoms and lung function defects. RESULTS : Of 610 CRD patients, 56% had chronic obstructive pulmonary disease and 31% were asthma patients; 80% were males. The most frequent sensitisers were dust mites (Dermatophagoides farinae 22%, Blomia tropicalis 19%, D. pteronyssinus 18%) and cockroach droppings (13%). Among study participants, 37% were from rural settings and 36% from urban areas, whereas 27% had migrated from rural to urban areas. Compared with people from rural areas, being born in an urban area was a risk factor for sensitisation to mites (OR 1.56, 95% CI 1.11-2.20, P < 0.02). In multivariate analysis, place of birth remained a risk factor for mite sensitisation. Compared with the native urban population, the risk of mite sensitisation was not significantly different among patients born in rural areas and those migrating to urban areas. CONCLUSION: Dust mites and cockroach droppings were the most frequent allergens among people with CRD in the south of Viet Nam. Compared with the urban population, being native to a rural area was protective against mite sensitisation, but this effect ceased to be significant after migration from rural to urban areas. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Prevalence and Correlates of Leprosy in a High-Risk Community Setting in Sri Lanka."
Abstract:"Leprosy is caused by the Mycobacterium leprae bacillus. Pockets of high endemicity remain in a number of countries including Sri Lanka, in spite of the fact that elimination has been achieved at the national level. In 2012, in a village in the Puttlam district, dermatologists reported an increase in individuals with leprosy. This village had been established in the 1990s for people displaced from Northern Sri Lanka during a civil war. A comprehensive household survey was conducted by district health officials from June to July 2012, and all household members present during the survey period were examined for leprosy lesions. Patients with suspected leprosy were referred to a dermatology clinic for clinical or pathological confirmation. The prevalence of leprosy was high (511 per 10 000 population). Household contact with another patient with leprosy increased the risk of leprosy (odds ratio = 6.69; P < .001). Continued vigilance is needed to keep leprosy at bay in high-risk communities.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [0];
Q6 = [1]. | abs02775 | 10.1177/1010539516666360 | Prevalence and Correlates of Leprosy in a High-Risk Community Setting in Sri Lanka | Leprosy is caused by the Mycobacterium leprae bacillus. Pockets of high endemicity remain in a number of countries including Sri Lanka, in spite of the fact that elimination has been achieved at the national level. In 2012, in a village in the Puttlam district, dermatologists reported an increase in individuals with leprosy. This village had been established in the 1990s for people displaced from Northern Sri Lanka during a civil war. A comprehensive household survey was conducted by district health officials from June to July 2012, and all household members present during the survey period were examined for leprosy lesions. Patients with suspected leprosy were referred to a dermatology clinic for clinical or pathological confirmation. The prevalence of leprosy was high (511 per 10 000 population). Household contact with another patient with leprosy increased the risk of leprosy (odds ratio = 6.69; P < .001). Continued vigilance is needed to keep leprosy at bay in high-risk communities. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Vulnerability and Capacity Assessment for refugee education crises."
Abstract:"Purpose The purpose of this study is to aim at: (1) investigating the vulnerabilities/obstacles that hinder refugees in hosting countries from obtaining quality and adequate education and (2) proposing a Framework for Action to transform these vulnerabilities into capacities. Design/methodology/approach Vulnerability and Capacity Assessment (VCA) was used for the purpose of this research. A survey strategy was adopted and data were collected using semi-structured interviews with refugee families. One hundred and twenty families were interviewed. Findings The study identified a number of vulnerabilities; including mainly unavailability of educational facilities; quality of the available education; social challenges and psychological needs. The findings revealed that there was a lack of comprehensive and strategic frameworks for mitigating refugee educational crises. Practical implications The lack of adequate and quality education for refugees in host countries is likely to increase illiteracy levels and subsequently trigger humanitarian and natural disasters on the long run. This research emphasizes the importance of developing comprehensive frameworks for quality and adequate refugee education. Originality/value To the author's knowledge, and after an extensive review of the existing literature, this is the first study to employ VCA to investigate the extent of the current refugee educational crisis in Jordan. VCA is more commonly used in the context of natural and environmental disasters threatening societies. Relevant authorities need to be aware of the significance of refugee education at individual, communal and national levels, as well as the significance of education to refugee well-being.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4];
Q3 = [2];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs11456 | 10.1108/IJOEM-04-2019-0321 | Vulnerability and Capacity Assessment for refugee education crises | Purpose The purpose of this study is to aim at: (1) investigating the vulnerabilities/obstacles that hinder refugees in hosting countries from obtaining quality and adequate education and (2) proposing a Framework for Action to transform these vulnerabilities into capacities. Design/methodology/approach Vulnerability and Capacity Assessment (VCA) was used for the purpose of this research. A survey strategy was adopted and data were collected using semi-structured interviews with refugee families. One hundred and twenty families were interviewed. Findings The study identified a number of vulnerabilities; including mainly unavailability of educational facilities; quality of the available education; social challenges and psychological needs. The findings revealed that there was a lack of comprehensive and strategic frameworks for mitigating refugee educational crises. Practical implications The lack of adequate and quality education for refugees in host countries is likely to increase illiteracy levels and subsequently trigger humanitarian and natural disasters on the long run. This research emphasizes the importance of developing comprehensive frameworks for quality and adequate refugee education. Originality/value To the author's knowledge, and after an extensive review of the existing literature, this is the first study to employ VCA to investigate the extent of the current refugee educational crisis in Jordan. VCA is more commonly used in the context of natural and environmental disasters threatening societies. Relevant authorities need to be aware of the significance of refugee education at individual, communal and national levels, as well as the significance of education to refugee well-being. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Health of migrants, refugees and asylum seekers in detention in Tripoli, Libya, 2018-2019: Retrospective analysis of routine medical programme data."
Abstract:"Libya is a major transit and destination country for international migration. UN agencies estimates 571,464 migrants, refugees and asylum seekers in Libya in 2021; among these, 3,934 people are held in detention. We aimed to describe morbidities and water, hygiene, and sanitation (WHS) conditions in detention in Tripoli, Libya. We conducted a retrospective analysis of data collected between July 2018 and December 2019, as part of routine monitoring within an Medecins Sans Frontieres (MSF) project providing healthcare and WHS support for migrants, refugees and asylum seekers in some of the official detention centres (DC) in Tripoli. MSF had access to 1,630 detainees in eight different DCs on average per month. Only one DC was accessible to MSF every single month. The size of wall openings permitting cell ventilation failed to meet minimum standards in all DCs. Minimum standards for floor space, availability of water, toilets and showers were frequently not met. The most frequent diseases were acute respiratory tract infections (26.9%; 6,775/25,135), musculoskeletal diseases (24.1%; 6,058/25,135), skin diseases (14.1%; 3,538/25,135) and heartburn and reflux (10.0%; 2,502/25,135). Additionally, MSF recorded 190 cases of violence-induced wounds and 55 cases of sexual and gender-based violence. During an exhaustive nutrition screening in one DC, linear regression showed a reduction in mid-upper arm circumference (MUAC) of 2.5mm per month in detention (95%-CI 1.3-3.7, p<0.001). Detention of men, women and children continues to take place in Tripoli. Living conditions failed to meet minimum requirements. Health problems diagnosed at MSF consultations reflect the living conditions and consist largely of diseases related to overcrowding, lack of water and ventilation, and poor diet. Furthermore, every month that people stay in detention increases their risk of malnutrition. The documented living conditions and health problems call for an end of detention and better protection of migrants, refugees and asylum seekers in Libya.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [1]. | abs05780 | 10.1371/journal.pone.0252460 | Health of migrants, refugees and asylum seekers in detention in Tripoli, Libya, 2018-2019: Retrospective analysis of routine medical programme data | Libya is a major transit and destination country for international migration. UN agencies estimates 571,464 migrants, refugees and asylum seekers in Libya in 2021; among these, 3,934 people are held in detention. We aimed to describe morbidities and water, hygiene, and sanitation (WHS) conditions in detention in Tripoli, Libya. We conducted a retrospective analysis of data collected between July 2018 and December 2019, as part of routine monitoring within an Medecins Sans Frontieres (MSF) project providing healthcare and WHS support for migrants, refugees and asylum seekers in some of the official detention centres (DC) in Tripoli. MSF had access to 1,630 detainees in eight different DCs on average per month. Only one DC was accessible to MSF every single month. The size of wall openings permitting cell ventilation failed to meet minimum standards in all DCs. Minimum standards for floor space, availability of water, toilets and showers were frequently not met. The most frequent diseases were acute respiratory tract infections (26.9%; 6,775/25,135), musculoskeletal diseases (24.1%; 6,058/25,135), skin diseases (14.1%; 3,538/25,135) and heartburn and reflux (10.0%; 2,502/25,135). Additionally, MSF recorded 190 cases of violence-induced wounds and 55 cases of sexual and gender-based violence. During an exhaustive nutrition screening in one DC, linear regression showed a reduction in mid-upper arm circumference (MUAC) of 2.5mm per month in detention (95%-CI 1.3-3.7, p<0.001). Detention of men, women and children continues to take place in Tripoli. Living conditions failed to meet minimum requirements. Health problems diagnosed at MSF consultations reflect the living conditions and consist largely of diseases related to overcrowding, lack of water and ventilation, and poor diet. Furthermore, every month that people stay in detention increases their risk of malnutrition. The documented living conditions and health problems call for an end of detention and better protection of migrants, refugees and asylum seekers in Libya. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Identification of Genetic Lineage of Peshawar and Nowshera Tribes through Dental Morphology."
Abstract:"Analyzing the diversity of non metric phenotypic traits of the mature teeth, in three ethnic groups? viz. Daudzai, Khalil and Mohmand of Peshawar districts, of the Khyber Pakhtunkhwa Province (KP) of Pakistan. Dental casts obtained from both mandible and maxilla of 375 volunteers in which 75 male and 50 females of all the tribes. The dental casts for each individual were analyzed for a set of 35 tooth trait accordance with the Arizona State University Dental Morphology System. The data was compared with the secondary information of 3842 individuals representing 36 other ethnic groups of different parts of KP, peninsular India prehistoric samples of Indus valley Central Asia and South Asia. Inter sample affinities based upon pair wise MMD values were examined with neighbor-joining cluster analysis and multidimensional scaling. The results remained highly consistent throughout different data reduction techniques. The consistency in phenetic affinities was even evident when they were considered in the backdrop of living ethnic groups of peninsular Indians and prehistoric inhabitants of the Indus Valley and South-Central Asia. When consideration was limited to the people of Northern Pakistan, the uniqueness of Khalil and Daudzai, was emphasized. A comparison of the people from Peshawar emphasizes the uniqueness with south-central Asia, and shared no affinities to South Asians either living or prehistoric. These results show the influence of the past expansions and migrations have had upon the Pakistani population.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [1]. | abs01055 | 10.17582/journal.pjz/20190927080941 | Identification of Genetic Lineage of Peshawar and Nowshera Tribes through Dental Morphology | Analyzing the diversity of non metric phenotypic traits of the mature teeth, in three ethnic groups? viz. Daudzai, Khalil and Mohmand of Peshawar districts, of the Khyber Pakhtunkhwa Province (KP) of Pakistan. Dental casts obtained from both mandible and maxilla of 375 volunteers in which 75 male and 50 females of all the tribes. The dental casts for each individual were analyzed for a set of 35 tooth trait accordance with the Arizona State University Dental Morphology System. The data was compared with the secondary information of 3842 individuals representing 36 other ethnic groups of different parts of KP, peninsular India prehistoric samples of Indus valley Central Asia and South Asia. Inter sample affinities based upon pair wise MMD values were examined with neighbor-joining cluster analysis and multidimensional scaling. The results remained highly consistent throughout different data reduction techniques. The consistency in phenetic affinities was even evident when they were considered in the backdrop of living ethnic groups of peninsular Indians and prehistoric inhabitants of the Indus Valley and South-Central Asia. When consideration was limited to the people of Northern Pakistan, the uniqueness of Khalil and Daudzai, was emphasized. A comparison of the people from Peshawar emphasizes the uniqueness with south-central Asia, and shared no affinities to South Asians either living or prehistoric. These results show the influence of the past expansions and migrations have had upon the Pakistani population. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Late Secularization and Religion as Alien."
Abstract:"The argument that modernization and secularization are linked in some non-accidental and non-tautological manner is sometimes rebutted with the assertion that the statistical evidence of decline in indices of interest in religion in the UK and elsewhere in the modern world is a mere trend that may be changed by a revival of interest in religion. This essay considers the obstacles to such a revival. It makes the case that 'late secularization' differs in three important ways from 'early secularization'. The shared stock of religious knowledge is small, the public reputation of religion is poor, and religion is carried primarily by populations that are unusual in being drawn either from a narrow demographic or from immigrant peoples. Given the role of affective social bonds in religious conversion, the alien nature of the carriers of religion makes religious revival extremely unlikely.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [6];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs03199 | 10.2478/opth-2014-0003 | Late Secularization and Religion as Alien | The argument that modernization and secularization are linked in some non-accidental and non-tautological manner is sometimes rebutted with the assertion that the statistical evidence of decline in indices of interest in religion in the UK and elsewhere in the modern world is a mere trend that may be changed by a revival of interest in religion. This essay considers the obstacles to such a revival. It makes the case that 'late secularization' differs in three important ways from 'early secularization'. The shared stock of religious knowledge is small, the public reputation of religion is poor, and religion is carried primarily by populations that are unusual in being drawn either from a narrow demographic or from immigrant peoples. Given the role of affective social bonds in religious conversion, the alien nature of the carriers of religion makes religious revival extremely unlikely. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"The path of the sea: Human migration across the western Mediterranean."
Abstract:"This article looks at some of the characteristics, causes and consequences of the present day migrations from the southern Mediterranean countries to Western Europe, concentrating on the three Maghrebi countries, Tunisia, Algeria and Morocco, especially the latter. The most detailed sections will zoom in further to look at the vortex of this migration - the Strait which bears the name of Gibril Tarik, who crossed it with an army of 7,000 in 712 D.C. to conquer the southern Iberian peninsular and to found the civilization of Andalus and which today forms both a passage and a barrier between the world wealth and the world of poverty.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5,6];
Q3 = [];
Q4 = [];
Q5 = [1];
Q6 = [0]. | abs21779 | gen.2006.51839923 | The path of the sea: Human migration across the western Mediterranean | This article looks at some of the characteristics, causes and consequences of the present day migrations from the southern Mediterranean countries to Western Europe, concentrating on the three Maghrebi countries, Tunisia, Algeria and Morocco, especially the latter. The most detailed sections will zoom in further to look at the vortex of this migration - the Strait which bears the name of Gibril Tarik, who crossed it with an army of 7,000 in 712 D.C. to conquer the southern Iberian peninsular and to found the civilization of Andalus and which today forms both a passage and a barrier between the world wealth and the world of poverty. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"History of education and migrations: crossed (or connected or entangled) histories between local and transnational perspective. A research agenda."
Abstract:"This collection of papers has its origins back in a meeting that took place in Caxias do Sul (Brazil), on September 11th and 12th, 2018, with scholars of Brazilian and Italian universities interested in migration and history of education. The event was promoted and organized by the Research Group on History of Education, Immigration and Memory (GRUPHEIM) of the University of Caxias do Sul (UCS) (Brazil) and the Center for Research and Documentation on the History of Educational Institutions, School Books and Children's Literature (CeSIS) of the Department of Humanities, Social Sciences and Education of the University of Molise (Italy). Different research groups aimed to analyze migrants, migration and human mobility within History of Education and specially to deepen studies about educational initiatives for (e/im)migrants and/or their children in Brazil, carried out by religious, State and civil society institutions, during the 19th and 20th centuries. Educational and schooling processes; educational models and tools for circulation of knowledge; teaching and learning practices in culturally distinguished spaces and times; and practices for promotion of ethnical and cultural identity related to an Italian character are part of a new research field. In a transnational view, Italian and Brazilian scholars, with their participation and methodological approaches, have opened new perspectives of investigation in the field of History of Education.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [2];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs17421 | gen.2019.35480973 | History of education and migrations: crossed (or connected or entangled) histories between local and transnational perspective. A research agenda | This collection of papers has its origins back in a meeting that took place in Caxias do Sul (Brazil), on September 11th and 12th, 2018, with scholars of Brazilian and Italian universities interested in migration and history of education. The event was promoted and organized by the Research Group on History of Education, Immigration and Memory (GRUPHEIM) of the University of Caxias do Sul (UCS) (Brazil) and the Center for Research and Documentation on the History of Educational Institutions, School Books and Children's Literature (CeSIS) of the Department of Humanities, Social Sciences and Education of the University of Molise (Italy). Different research groups aimed to analyze migrants, migration and human mobility within History of Education and specially to deepen studies about educational initiatives for (e/im)migrants and/or their children in Brazil, carried out by religious, State and civil society institutions, during the 19th and 20th centuries. Educational and schooling processes; educational models and tools for circulation of knowledge; teaching and learning practices in culturally distinguished spaces and times; and practices for promotion of ethnical and cultural identity related to an Italian character are part of a new research field. In a transnational view, Italian and Brazilian scholars, with their participation and methodological approaches, have opened new perspectives of investigation in the field of History of Education. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"The Global Precariat: Refugees and COVID-19."
Abstract:"Are refugees welcomed by nation-states? Receiving a hospitable environment to resow the seeds of survival is a fundamental right of any human individual especially for refugees who have been rendered stateless and rightless. They require magnanimous hospitality in the form of social solidarity but what they acquire are disdainful attacks from neoliberal nation-states. Often their traumatic voyages towards a secured mode of living meet with dejection and despair when nation-states violate their obligations by refusing to grant them asylum. The few, who are accepted, are also compelled to hover around nation-state peripheries with ruthless indifference awaiting them. I shall critically consider Derridean 'hostipitality' as the premise to problematize refugee identity as the locus of precarity ensued by radical alterities.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5];
Q3 = [];
Q4 = [];
Q5 = [1];
Q6 = [0]. | abs06083 | 10.21659/rupkatha.v12n5.rioc1s30n7 | The Global Precariat: Refugees and COVID-19 | Are refugees welcomed by nation-states? Receiving a hospitable environment to resow the seeds of survival is a fundamental right of any human individual especially for refugees who have been rendered stateless and rightless. They require magnanimous hospitality in the form of social solidarity but what they acquire are disdainful attacks from neoliberal nation-states. Often their traumatic voyages towards a secured mode of living meet with dejection and despair when nation-states violate their obligations by refusing to grant them asylum. The few, who are accepted, are also compelled to hover around nation-state peripheries with ruthless indifference awaiting them. I shall critically consider Derridean 'hostipitality' as the premise to problematize refugee identity as the locus of precarity ensued by radical alterities. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Anonymous Aliens? Questions of Identification in the Detention and Deportation of Failed Asylum Seekers."
Abstract:"Immigration detention and deportation are central tenets of the British government's immigration strategy. Although in theory immigration detainees face imminent deportation, in practice many obstacles frustrate removal, prolonging the limbo of detention. Drawing on two years' anthropological research with failed asylum seekers in one such Immigration Removal Centre, I argue that the concepts of identity and identification are useful in understanding these situations of impasse. Many detainees struggle to meet official expectations and requirements regarding the nature of identities and how they can be proved. They frequently have no identity documents (or those they have are considered false), come from countries with minimal registration systems, or are generally assumed to be lying. Many also have their identities disproved by UK Border Agency caseworkers as part of having their asylum claims refused. The combination results in some individuals lacking a bureaucratically recognised identity or alternatively being saddled with multiple identities. This hinders their removal as a genuine identity must be re-established in order for the embassies to issue travel documents. I examine what happens when people fall between having one identity disputed and another officially confirmed, arguing that when stuck in this way people become vulnerable to criminalisation and exceptional treatment such as indefinite incarceration. My premise is that as identity databases and verification techniques infiltrate British society, from high-level security debates to daily banality, those people beyond identification techniques become increasingly bureaucratically problematic, making them simultaneously threatening to and vulnerable to state apparatus. Copyright (c) 2012 John Wiley & Sons, Ltd.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [5];
Q3 = [1];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs15827 | 10.1002/psp.1723 | Anonymous Aliens? Questions of Identification in the Detention and Deportation of Failed Asylum Seekers | Immigration detention and deportation are central tenets of the British government's immigration strategy. Although in theory immigration detainees face imminent deportation, in practice many obstacles frustrate removal, prolonging the limbo of detention. Drawing on two years' anthropological research with failed asylum seekers in one such Immigration Removal Centre, I argue that the concepts of identity and identification are useful in understanding these situations of impasse. Many detainees struggle to meet official expectations and requirements regarding the nature of identities and how they can be proved. They frequently have no identity documents (or those they have are considered false), come from countries with minimal registration systems, or are generally assumed to be lying. Many also have their identities disproved by UK Border Agency caseworkers as part of having their asylum claims refused. The combination results in some individuals lacking a bureaucratically recognised identity or alternatively being saddled with multiple identities. This hinders their removal as a genuine identity must be re-established in order for the embassies to issue travel documents. I examine what happens when people fall between having one identity disputed and another officially confirmed, arguing that when stuck in this way people become vulnerable to criminalisation and exceptional treatment such as indefinite incarceration. My premise is that as identity databases and verification techniques infiltrate British society, from high-level security debates to daily banality, those people beyond identification techniques become increasingly bureaucratically problematic, making them simultaneously threatening to and vulnerable to state apparatus. Copyright (c) 2012 John Wiley & Sons, Ltd. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Challenges for Migrant and Cross-Border Populations With Diabetes Mellitus at Mae Tao Clinic in the Mae Sot-Myawaddy Border Region of Thailand and Myanmar."
Abstract:"The Mae Tao Clinic was established by Dr Cynthia Maung in 1989 in Mae Sot, Thailand, close to the border with Myanmar. The clinic provides primary health care, education, and protection to vulnerable and displaced people living in the Thailand-Myanmar border area. The leading vision of the organization is that all people from Burma (Myanmar) will have access to quality, equitable, and affordable health care, education, and protection in respect of all human rights. On yearly basis, the Mae Tao Clinic consults more than 100 000 outpatients and admits more than 10 000 patients to receive inpatient care. Many of the people served by the clinic cannot access affordable health care elsewhere principally due to lack of legal status, unaffordable costs, and language barriers.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [1];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs20181 | 10.1177/1534734618788928 | Challenges for Migrant and Cross-Border Populations With Diabetes Mellitus at Mae Tao Clinic in the Mae Sot-Myawaddy Border Region of Thailand and Myanmar | The Mae Tao Clinic was established by Dr Cynthia Maung in 1989 in Mae Sot, Thailand, close to the border with Myanmar. The clinic provides primary health care, education, and protection to vulnerable and displaced people living in the Thailand-Myanmar border area. The leading vision of the organization is that all people from Burma (Myanmar) will have access to quality, equitable, and affordable health care, education, and protection in respect of all human rights. On yearly basis, the Mae Tao Clinic consults more than 100 000 outpatients and admits more than 10 000 patients to receive inpatient care. Many of the people served by the clinic cannot access affordable health care elsewhere principally due to lack of legal status, unaffordable costs, and language barriers. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Development of typological classification and its relationship to microdifferentiation in ethnic India."
Abstract:"The history of the racial classification of the people of India can be looked at in three temporal phases: (1) at the national level, the initial studies of racial classification attempted along with the Census of India; (2) at the regional level, studies by anthropologists and statisticians following systematic sampling and statistical procedures were conducted after the initial national-level studies and (3) population-specific studies in different regions across the country including micro-evolutionary studies of individual populations followed the regional studies. Initially the racial classification was part of the Census survey conducted by British anthropologists in some parts of the country among castes and tribes and was based on a few physical traits. This was followed by a systematic anthropometric survey in particulars regions (e.g., UP, Bengal, etc.) by anthropologists and statisticians. This was followed by population specific micro-evolutionary studies across different regions by numerous anthropologists investigating the role of selection, drift, migration and admixture and other population structure variables among endogamous castes and tribes.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [0];
Q3 = [];
Q4 = [0];
Q5 = [0];
Q6 = [1]. | abs01978 | 10.1007/s12038-019-9880-8 | Development of typological classification and its relationship to microdifferentiation in ethnic India | The history of the racial classification of the people of India can be looked at in three temporal phases: (1) at the national level, the initial studies of racial classification attempted along with the Census of India; (2) at the regional level, studies by anthropologists and statisticians following systematic sampling and statistical procedures were conducted after the initial national-level studies and (3) population-specific studies in different regions across the country including micro-evolutionary studies of individual populations followed the regional studies. Initially the racial classification was part of the Census survey conducted by British anthropologists in some parts of the country among castes and tribes and was based on a few physical traits. This was followed by a systematic anthropometric survey in particulars regions (e.g., UP, Bengal, etc.) by anthropologists and statisticians. This was followed by population specific micro-evolutionary studies across different regions by numerous anthropologists investigating the role of selection, drift, migration and admixture and other population structure variables among endogamous castes and tribes. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"RISK PERCEPTION AND BELIEFS REGARDING HIV INFECTION AMONG ETHIOPIAN IMMIGRANTS."
Abstract:"In Ethiopia, approximately 7.5% of the urban population is HIV-positive, and countrywide 1.5 million people are living with HIV. Between 1990 and 2000, immigration into the United States by African-born immigrants increased by 130%. Of this immigrant population, individuals from Ethiopia make up a significant portion. Although there is a rich literature addressing the beliefs regarding HIV and risk perception among some immigrant populations in the United States, few studies target Ethiopian-born residents. Thus, a survey-based study addressing demographics, acculturation, awareness, beliefs and risk perception, attitudes toward susceptibility for infection, and risk behaviors targeted Ethiopian-born residents of San Diego, California. Results indicate a separation between understanding of HIV transmission and personal risk perception for infection in a young, highly educated, predominantly male participant pool. As an initial study of HIV beliefs and risk perception in the immigrant Ethiopian population, our results provide information on specific areas warranting further investigation.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
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Q4 = [];
Q5 = [1];
Q6 = [1]. | abs04241 | 10.1521/aeap.2009.21.5.484 | RISK PERCEPTION AND BELIEFS REGARDING HIV INFECTION AMONG ETHIOPIAN IMMIGRANTS | In Ethiopia, approximately 7.5% of the urban population is HIV-positive, and countrywide 1.5 million people are living with HIV. Between 1990 and 2000, immigration into the United States by African-born immigrants increased by 130%. Of this immigrant population, individuals from Ethiopia make up a significant portion. Although there is a rich literature addressing the beliefs regarding HIV and risk perception among some immigrant populations in the United States, few studies target Ethiopian-born residents. Thus, a survey-based study addressing demographics, acculturation, awareness, beliefs and risk perception, attitudes toward susceptibility for infection, and risk behaviors targeted Ethiopian-born residents of San Diego, California. Results indicate a separation between understanding of HIV transmission and personal risk perception for infection in a young, highly educated, predominantly male participant pool. As an initial study of HIV beliefs and risk perception in the immigrant Ethiopian population, our results provide information on specific areas warranting further investigation. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Between humanitarian assistance and migration management: on civil actors' role in voluntary return from Belgium."
Abstract:"Whilst European governments have increasingly externalised restrictive migration policies to civil actors, the latter's main interests lie in improving or defending immigrants' well-being. This raises the crucial question as to how civil actors deal with the puzzling position they find themselves in: to what extent do they execute or transform their funders' policy objectives? And which mechanisms enable them to do so? This article contributes to answering these questions by detailing the historical shifts in the roles played by civil actors in the Assisted Voluntary Return programme in Belgium. Most importantly, the article argues that the considerable autonomy these civil actors achieved resulted in two seemingly opposite effects. On the one hand, they developed a wealth of expertise in ensuring the quality of return, thereby transforming the national government's goals of managing migration into humanitarian ones. On the other hand, in recent developments their autonomy paradoxically became instrumental to migration management, not so much by changing their practices or values, but by changing their functioning within the wider field of migration policies. The article concludes by proposing the metaphor of immunisation' as an apt way of describing civil actors' practical and functionally role in migration management.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [0];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [0]. | abs07338 | 10.1080/1369183X.2016.1245609 | Between humanitarian assistance and migration management: on civil actors' role in voluntary return from Belgium | Whilst European governments have increasingly externalised restrictive migration policies to civil actors, the latter's main interests lie in improving or defending immigrants' well-being. This raises the crucial question as to how civil actors deal with the puzzling position they find themselves in: to what extent do they execute or transform their funders' policy objectives? And which mechanisms enable them to do so? This article contributes to answering these questions by detailing the historical shifts in the roles played by civil actors in the Assisted Voluntary Return programme in Belgium. Most importantly, the article argues that the considerable autonomy these civil actors achieved resulted in two seemingly opposite effects. On the one hand, they developed a wealth of expertise in ensuring the quality of return, thereby transforming the national government's goals of managing migration into humanitarian ones. On the other hand, in recent developments their autonomy paradoxically became instrumental to migration management, not so much by changing their practices or values, but by changing their functioning within the wider field of migration policies. The article concludes by proposing the metaphor of immunisation' as an apt way of describing civil actors' practical and functionally role in migration management. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Impact of resettlement on livestock production and performance among the Maasai pastoralists of RAPland village, Olkaria Kenya."
Abstract:"Displacements from developmental-related projects such as dams, conservancies, and geothermals displace 15-20 million people annually, necessitating the relocation of project-affected persons (PAPs). Most resettlement action plans (RAPs) fail in resettling the PAPs fully, causing loss of livelihoods and impoverishment. In 2014, Kenya Electricity Generating Company Limited (KenGen) displaced 155 Maasai pastoral households to create space for the expansion of existing geothermal electricity generation plants at Olkaria. The PAPs were relocated into a newly created area called RAPland village. The study aimed at answering the question: how did displacement and relocation affect livestock production and performance of the resettled pastoralists. Data on livestock population structures and cattle herd structures and performance (age at first calving, calving interval, lactation length, and milk yields) before and after the relocation were collected by a survey of 105 household heads of the intended census of 155. Data collected were summarised using Excel and analysed with Statistical Package for Social Sciences (SPSS). Results showed that daily milk yield per cow decreased from a mean of 3.8 +/- 0.19 to 2.38 +/- 0.19 l, while total livestock populations reduced from 8383 to 3124 tropical livestock units (TLU) after the relocation. The mean livestock holding per household (TLU) before the relocation was 75.7 +/- 8.83, 15.5 +/- 1.78, 5.83 +/- 0.67, 1.46 +/- 0.22, and 0.14 +/- 0.02; this decreased after the relocation to 26.4 +/- 8.3, 4.62 +/- 1.7, 2.5 +/- 0.63, 0.34 +/- 0.21, and 0.3 +/- 0.02 for cattle, sheep, goats, donkeys, and poultry, respectively. Young cattle proportions reduced from 27.6 to 20%, while that of cows increased from 51.7 to 60% after resettlement. Relocation affected livestock production and performances through reduced daily milk yield and livestock populations, thus reducing pastoralists' resilience for food, nutritional security, and coping with catastrophes. As such, future displacement and resettlement programmes involving pastoral communities should address grazing needs and pastoral resilience to avoid impoverishment.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [2];
Q3 = [];
Q4 = [];
Q5 = [1];
Q6 = [1]. | abs18913 | 10.1186/s13570-021-00212-6 | Impact of resettlement on livestock production and performance among the Maasai pastoralists of RAPland village, Olkaria Kenya | Displacements from developmental-related projects such as dams, conservancies, and geothermals displace 15-20 million people annually, necessitating the relocation of project-affected persons (PAPs). Most resettlement action plans (RAPs) fail in resettling the PAPs fully, causing loss of livelihoods and impoverishment. In 2014, Kenya Electricity Generating Company Limited (KenGen) displaced 155 Maasai pastoral households to create space for the expansion of existing geothermal electricity generation plants at Olkaria. The PAPs were relocated into a newly created area called RAPland village. The study aimed at answering the question: how did displacement and relocation affect livestock production and performance of the resettled pastoralists. Data on livestock population structures and cattle herd structures and performance (age at first calving, calving interval, lactation length, and milk yields) before and after the relocation were collected by a survey of 105 household heads of the intended census of 155. Data collected were summarised using Excel and analysed with Statistical Package for Social Sciences (SPSS). Results showed that daily milk yield per cow decreased from a mean of 3.8 +/- 0.19 to 2.38 +/- 0.19 l, while total livestock populations reduced from 8383 to 3124 tropical livestock units (TLU) after the relocation. The mean livestock holding per household (TLU) before the relocation was 75.7 +/- 8.83, 15.5 +/- 1.78, 5.83 +/- 0.67, 1.46 +/- 0.22, and 0.14 +/- 0.02; this decreased after the relocation to 26.4 +/- 8.3, 4.62 +/- 1.7, 2.5 +/- 0.63, 0.34 +/- 0.21, and 0.3 +/- 0.02 for cattle, sheep, goats, donkeys, and poultry, respectively. Young cattle proportions reduced from 27.6 to 20%, while that of cows increased from 51.7 to 60% after resettlement. Relocation affected livestock production and performances through reduced daily milk yield and livestock populations, thus reducing pastoralists' resilience for food, nutritional security, and coping with catastrophes. As such, future displacement and resettlement programmes involving pastoral communities should address grazing needs and pastoral resilience to avoid impoverishment. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Investigating Incidence, Correlates, and Consequences of Child Marriage Among Syrian Refugees Residing in the South of Lebanon: A Cross-Sectional Study."
Abstract:"Purpose: Research on child marriage has increased in volume but remains scarce in humanitarian settings. This study aimed to investigate rates, correlates, and consequences of child marriage among Syrian refugees in South Lebanon. Methods: A sample of 1,593 female adolescents and 893 adults was selected using a multistage stratified cluster survey design. We quantified the cumulative incidence of child marriage among age cohorts of female refugees and identified risk factors associated with child marriage using survival methods. We also presented sexual and reproductive health measures among child brides. Results: We found evidence that child marriage was widely practiced among adolescent girls, with KaplaneMeier curves showing that 32.56% of girls aged 10-19 transitioned to marriage by age 17. Although high, this was lower than rates among women aged 25-29 (p < .005), indicating that child marriage was already widely practiced in prewar Syria. Our Cox models indicated that several factors, which mirror drivers of child marriage in stable settings, are associated with hazard of child marriage in this context. We additionally found important sexual and reproductive health gaps among child brides, such as low levels of knowledge of the dangers of early childbearing and closely spaced births as well as high rates of early and multiple births. Conclusions: Child marriage is a pervasive practice among Syrian refugees residing in this setting. Our results suggest that a confluence of factors at different levels of the social ecology increase refugee girls' vulnerability to child marriage. They also demonstrate the pressing need for interventions that target refugee child brides. (C) 2022 Society for Adolescent Health and Medicine. Published by Elsevier Inc.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,6];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs09291 | 10.1016/j.jadohealth.2021.08.022 | Investigating Incidence, Correlates, and Consequences of Child Marriage Among Syrian Refugees Residing in the South of Lebanon: A Cross-Sectional Study | Purpose: Research on child marriage has increased in volume but remains scarce in humanitarian settings. This study aimed to investigate rates, correlates, and consequences of child marriage among Syrian refugees in South Lebanon. Methods: A sample of 1,593 female adolescents and 893 adults was selected using a multistage stratified cluster survey design. We quantified the cumulative incidence of child marriage among age cohorts of female refugees and identified risk factors associated with child marriage using survival methods. We also presented sexual and reproductive health measures among child brides. Results: We found evidence that child marriage was widely practiced among adolescent girls, with KaplaneMeier curves showing that 32.56% of girls aged 10-19 transitioned to marriage by age 17. Although high, this was lower than rates among women aged 25-29 (p < .005), indicating that child marriage was already widely practiced in prewar Syria. Our Cox models indicated that several factors, which mirror drivers of child marriage in stable settings, are associated with hazard of child marriage in this context. We additionally found important sexual and reproductive health gaps among child brides, such as low levels of knowledge of the dangers of early childbearing and closely spaced births as well as high rates of early and multiple births. Conclusions: Child marriage is a pervasive practice among Syrian refugees residing in this setting. Our results suggest that a confluence of factors at different levels of the social ecology increase refugee girls' vulnerability to child marriage. They also demonstrate the pressing need for interventions that target refugee child brides. (C) 2022 Society for Adolescent Health and Medicine. Published by Elsevier Inc. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"The importance of health behaviours and especially broader self-management abilities for older Turkish immigrants."
Abstract:"Background: This study aims to identify the relationships between health behaviours, self-management abilities, physical health, depressive symptoms and well-being among Turkish older immigrants. Methods: A total of 2350 older Turkish migrants aged > 65 years residing in Rotterdam, the Netherlands were identified using the municipal register of which 680 respondents completed the questionnaires (response rate of 32%). Results: Average age of the respondents was 72.90 (standard deviation 5.02) (range 66-95) years and about half of them were women (47.6%). The majority of respondents reported having a low education (80.3%), low income level (83.4%), is chronically ill (90.6%), overweight (86.5%) and about half obese (46.0%). More than half of the respondents eat enough fruit (58.2%) and vegetables per week (55.3%). About a third of the respondents smoke (33.5%) and 43.0% can be considered to be physically active. Looking at the health behaviours a weak positive relationship was found between eating enough vegetables and well-being (beta = 0.14; P = 0.017). In addition, weak relationships were found between physical activity and depressive symptoms (beta = -0.16; P = 0.007), smoking and depressive symptoms (beta = 0.16; P = 0.009) and self-management abilities and physical health (beta = 0.17; P = 0.015). Strongest relationships were found between self-management abilities and depressive symptoms (beta = -0.39; P < 0.001) and self-management abilities with overall well-being (beta = 0.49; P < 0.001). Conclusions: From this study, we can conclude that next to health behaviours broader self-management abilities to maintain overall well-being are important for Turkish older people. Interventions to improve self-management abilities may help Turkish older people better deal with function losses and chronic diseases as they age further.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
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Q6 = [1]. | abs20149 | 10.1093/eurpub/cky174 | The importance of health behaviours and especially broader self-management abilities for older Turkish immigrants | Background: This study aims to identify the relationships between health behaviours, self-management abilities, physical health, depressive symptoms and well-being among Turkish older immigrants. Methods: A total of 2350 older Turkish migrants aged > 65 years residing in Rotterdam, the Netherlands were identified using the municipal register of which 680 respondents completed the questionnaires (response rate of 32%). Results: Average age of the respondents was 72.90 (standard deviation 5.02) (range 66-95) years and about half of them were women (47.6%). The majority of respondents reported having a low education (80.3%), low income level (83.4%), is chronically ill (90.6%), overweight (86.5%) and about half obese (46.0%). More than half of the respondents eat enough fruit (58.2%) and vegetables per week (55.3%). About a third of the respondents smoke (33.5%) and 43.0% can be considered to be physically active. Looking at the health behaviours a weak positive relationship was found between eating enough vegetables and well-being (beta = 0.14; P = 0.017). In addition, weak relationships were found between physical activity and depressive symptoms (beta = -0.16; P = 0.007), smoking and depressive symptoms (beta = 0.16; P = 0.009) and self-management abilities and physical health (beta = 0.17; P = 0.015). Strongest relationships were found between self-management abilities and depressive symptoms (beta = -0.39; P < 0.001) and self-management abilities with overall well-being (beta = 0.49; P < 0.001). Conclusions: From this study, we can conclude that next to health behaviours broader self-management abilities to maintain overall well-being are important for Turkish older people. Interventions to improve self-management abilities may help Turkish older people better deal with function losses and chronic diseases as they age further. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Community engagement in pastoralist areas: Lessons from the public dialogue process for a new refugee settlement in Turkana, Kenya."
Abstract:"Large-scale development interventions have long failed to accommodate the needs and preferences of pastoralists or the systems of resource governance and land tenure upon which they rely. However, advocates of rights-based approaches to development emphasise the importance of community participation in planning and agenda-setting, and in Kenya, public participation is a formal constitutional requirement for government decision-making processes. In 2015, the United Nations High Commissioner for Refugees concluded negotiations with local stakeholders about the use of 15 km(2) of communal rangelands to build a new refugee settlement in Turkana County, Kenya. Negotiations entailed a community dialogue process involving local people living in the vicinity of the proposed settlement. This paper retrospectively examines the inclusivity of the dialogue process, with particular attention to the involvement of pastoralists and the representation of their interests. Interviews and focus groups conducted with a range of key informants and community stakeholders highlighted two key problems. First, negotiations relied upon a simplistic approach to communal land tenure that overlooked the complexity of overlapping and often contested access rights. Second, there was an over-reliance on urban professionals and politicians as intermediaries between rural communities and development actors. Even where elite intermediaries act in good faith, they may introduce an 'oppidan bias' into development policies, thereby marginalising the viewpoints of non-urban, non-sedentary demographics, such as pastoralists. I conclude with recommendations for the UNHCR to develop a more explicit strategy for direct engagement with host community stakeholders in Turkana and with increased attention to the interests of livestock producers and the nuances of pastoralist land use.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
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Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
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Q6 = [0]. | abs09563 | 10.1186/s13570-021-00192-7 | Community engagement in pastoralist areas: Lessons from the public dialogue process for a new refugee settlement in Turkana, Kenya | Large-scale development interventions have long failed to accommodate the needs and preferences of pastoralists or the systems of resource governance and land tenure upon which they rely. However, advocates of rights-based approaches to development emphasise the importance of community participation in planning and agenda-setting, and in Kenya, public participation is a formal constitutional requirement for government decision-making processes. In 2015, the United Nations High Commissioner for Refugees concluded negotiations with local stakeholders about the use of 15 km(2) of communal rangelands to build a new refugee settlement in Turkana County, Kenya. Negotiations entailed a community dialogue process involving local people living in the vicinity of the proposed settlement. This paper retrospectively examines the inclusivity of the dialogue process, with particular attention to the involvement of pastoralists and the representation of their interests. Interviews and focus groups conducted with a range of key informants and community stakeholders highlighted two key problems. First, negotiations relied upon a simplistic approach to communal land tenure that overlooked the complexity of overlapping and often contested access rights. Second, there was an over-reliance on urban professionals and politicians as intermediaries between rural communities and development actors. Even where elite intermediaries act in good faith, they may introduce an 'oppidan bias' into development policies, thereby marginalising the viewpoints of non-urban, non-sedentary demographics, such as pastoralists. I conclude with recommendations for the UNHCR to develop a more explicit strategy for direct engagement with host community stakeholders in Turkana and with increased attention to the interests of livestock producers and the nuances of pastoralist land use. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"'If we want, they help us in any way': how 'unaccompanied refugee minors' experience mentoring relationships."
Abstract:"Little is known about the growing phenomenon of 'mentorship for unaccompanied refugee minors'. This article looks into one serious gap, based on a case study in Austria, asking: How do these young people, most of them seeking asylum, represent relationships in a mentorship programme? Here, youth mentoring is understood as a community-based form of social intervention carried out by an organisation that connects trained adult volunteers with young people. The findings from two multilingual group interviews focus on various dimensions of social support and social capital, e.g. with regard to settling in and life course transitions. Reacting to calls for methodological reflection in studies on the refugee experience, the article presents in detail the setting and approach, which partly built on the concept of the 'tripled Otherness of unaccompanied minors'. An analysis of their narrations is discussed against the wider context, particularly that of systematic discrimination by welfare agencies and efforts by various actors to rearrange URMs' differential inclusion. The conclusion proposes that research should better reflect the political dimension in mentoring for marginalised populations. It argues that the potential of such programmes should be tapped to develop progressive protection arrangements extending beyond the limits of the welfarist nation state.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
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Q3 = [2];
Q4 = [0];
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Q6 = [0]. | abs06259 | 10.1080/13691457.2019.1606787 | 'If we want, they help us in any way': how 'unaccompanied refugee minors' experience mentoring relationships | Little is known about the growing phenomenon of 'mentorship for unaccompanied refugee minors'. This article looks into one serious gap, based on a case study in Austria, asking: How do these young people, most of them seeking asylum, represent relationships in a mentorship programme? Here, youth mentoring is understood as a community-based form of social intervention carried out by an organisation that connects trained adult volunteers with young people. The findings from two multilingual group interviews focus on various dimensions of social support and social capital, e.g. with regard to settling in and life course transitions. Reacting to calls for methodological reflection in studies on the refugee experience, the article presents in detail the setting and approach, which partly built on the concept of the 'tripled Otherness of unaccompanied minors'. An analysis of their narrations is discussed against the wider context, particularly that of systematic discrimination by welfare agencies and efforts by various actors to rearrange URMs' differential inclusion. The conclusion proposes that research should better reflect the political dimension in mentoring for marginalised populations. It argues that the potential of such programmes should be tapped to develop progressive protection arrangements extending beyond the limits of the welfarist nation state. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Analyzing Influencing Factors of Rural Poverty in Typical Poverty Areas of Hainan Province: A Case Study of Lingao County."
Abstract:"Rural poverty and poverty reduction are not only the focal issues that have attracted worldwide attention, but also the vital issues on people's livelihood that has attached great importance and aimed to be solved by the central and local governments of China. Based on the survey data of 354 farming households, this paper, taking the national poverty county of Lingao County, Hainan Province for an example, examined the characteristics of rural poverty of the county. Moreover, this paper established the spatial lag model (SLM) from five dimensions, namely, status of the household head, household structure, health status, income composition and traffic accessibility, to analyze the main influencing factors of rural poverty according to the values of Moran's I and the diagnosis of spatial dependence of the OLS model. It is found that the poor farming households gathered mainly in five towns in the north and southwest of the county, and the rural poverty have the characteristics of low educational level of the heads, more minor children, high population of farming peasants, high incidence of disease and low proportion of household wage-equivalent income. The results also showed that the variables such as the number of minor children, the number of migrant worker, the number of farming peasants and the proportion of wage-equivalent income have significant effectiveness on rural poverty, while the status of the household head, health status and traffic accessibility have little influence. It is an important way to realize the goal of poverty alleviation by controlling the number of farmers' fertility, strengthening the vocational skills training of farmers, vigorously developing specialization and large-scale agriculture and increasing the employment opportunities of farmers.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [1];
Q6 = [1]. | abs02209 | 10.1007/s11769-018-1008-9 | Analyzing Influencing Factors of Rural Poverty in Typical Poverty Areas of Hainan Province: A Case Study of Lingao County | Rural poverty and poverty reduction are not only the focal issues that have attracted worldwide attention, but also the vital issues on people's livelihood that has attached great importance and aimed to be solved by the central and local governments of China. Based on the survey data of 354 farming households, this paper, taking the national poverty county of Lingao County, Hainan Province for an example, examined the characteristics of rural poverty of the county. Moreover, this paper established the spatial lag model (SLM) from five dimensions, namely, status of the household head, household structure, health status, income composition and traffic accessibility, to analyze the main influencing factors of rural poverty according to the values of Moran's I and the diagnosis of spatial dependence of the OLS model. It is found that the poor farming households gathered mainly in five towns in the north and southwest of the county, and the rural poverty have the characteristics of low educational level of the heads, more minor children, high population of farming peasants, high incidence of disease and low proportion of household wage-equivalent income. The results also showed that the variables such as the number of minor children, the number of migrant worker, the number of farming peasants and the proportion of wage-equivalent income have significant effectiveness on rural poverty, while the status of the household head, health status and traffic accessibility have little influence. It is an important way to realize the goal of poverty alleviation by controlling the number of farmers' fertility, strengthening the vocational skills training of farmers, vigorously developing specialization and large-scale agriculture and increasing the employment opportunities of farmers. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"The HIV care continuum among resident and non-resident populations found in venues in East Africa cross-border areas."
Abstract:"IntroductionHIV care and treatment in cross-border areas in East Africa face challenges perhaps not seen to the same extent in other geographic areas, particularly for mobile and migrant populations. Here, we estimate the proportion of people with HIV found in these cross-border areas in each stage of the HIV care and treatment cascade, including the proportion who knows their status, the proportion on treatment and the proportion virally suppressed. MethodsParticipants (n=11,410) working or socializing in public places in selected East Africa cross border areas were recruited between June 2016 and February 2017 using the Priorities for Local AIDS Control Efforts method and administered a behavioural survey and rapid HIV test. This approach was designed to recruit a stratified random sample of people found in public spaces or venues in each cross border area. For participants testing positive for HIV, viral load was measured from dried blood spots. The proportion in each step of the cascade was estimated using inverse probability weights to account for the sampling design and informative HIV test refusals. Estimates are reported separately for residents of the cross border areas and non-residents found in those areas. ResultsOverall, 43% of participants with HIV found in cross-border areas knew their status, 87% of those participants were on antiretroviral therapy (ART), and 80% of participants on ART were virally suppressed. About 20% of people with HIV found in cross border areas were sampled outside their subdistrict or subcounty of residence. While both resident and non-resident individuals who knew their status were likely to be on ART (85% and 96% respectively), people on ART recruited outside their area of residence were less likely to be suppressed (64% suppressed; 95% CI: 43, 81) compared to residents (84% suppressed; 95% CI: 75, 93). ConclusionsPeople living in or travelling through cross-border areas may face barriers in learning their HIV status. Moreover, while non-residents were more likely to be on treatment than residents, they were less likely to be suppressed, suggesting gaps in continuity of care for people in East Africa travelling outside their area of residence despite timely initiation of treatment.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [1]. | abs02146 | 10.1002/jia2.25226 | The HIV care continuum among resident and non-resident populations found in venues in East Africa cross-border areas | IntroductionHIV care and treatment in cross-border areas in East Africa face challenges perhaps not seen to the same extent in other geographic areas, particularly for mobile and migrant populations. Here, we estimate the proportion of people with HIV found in these cross-border areas in each stage of the HIV care and treatment cascade, including the proportion who knows their status, the proportion on treatment and the proportion virally suppressed. MethodsParticipants (n=11,410) working or socializing in public places in selected East Africa cross border areas were recruited between June 2016 and February 2017 using the Priorities for Local AIDS Control Efforts method and administered a behavioural survey and rapid HIV test. This approach was designed to recruit a stratified random sample of people found in public spaces or venues in each cross border area. For participants testing positive for HIV, viral load was measured from dried blood spots. The proportion in each step of the cascade was estimated using inverse probability weights to account for the sampling design and informative HIV test refusals. Estimates are reported separately for residents of the cross border areas and non-residents found in those areas. ResultsOverall, 43% of participants with HIV found in cross-border areas knew their status, 87% of those participants were on antiretroviral therapy (ART), and 80% of participants on ART were virally suppressed. About 20% of people with HIV found in cross border areas were sampled outside their subdistrict or subcounty of residence. While both resident and non-resident individuals who knew their status were likely to be on ART (85% and 96% respectively), people on ART recruited outside their area of residence were less likely to be suppressed (64% suppressed; 95% CI: 43, 81) compared to residents (84% suppressed; 95% CI: 75, 93). ConclusionsPeople living in or travelling through cross-border areas may face barriers in learning their HIV status. Moreover, while non-residents were more likely to be on treatment than residents, they were less likely to be suppressed, suggesting gaps in continuity of care for people in East Africa travelling outside their area of residence despite timely initiation of treatment. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Critical behavior in interdependent spatial spreading processes with distinct characteristic time scales."
Abstract:"The spread of an infectious disease is well approximated by metapopulation networks connected by human mobility flow and upon which an epidemiological model is defined. In order to account for travel restrictions or cancellation we introduce a model with a parameter that explicitly indicates the ratio between the time scales of the intervening processes. We study the critical properties of the epidemic process and its dependence on such a parameter. We find that the critical threshold separating the absorbing state from the active state depends on the scale parameter and exhibits a critical behavior itself: a metacritical point - a critical value in the curve of critical points - reflected in the behavior of the attack rate measured for a wide range of empirical metapopulation systems. Our results have potential policy implications, since they establish a non-trivial critical behavior between temporal scales of reaction (epidemic spread) and diffusion (human mobility) processes. The time scales of individual contagion and human mobility are both relevant to understand the evolution of epidemics. Here, the authors study a reaction-diffusion process for an epidemic metapopulation model, showing that modulating the relative time scale of these two processes produces different epidemic outcomes and can reproduce the effect of non-pharmaceutical interventions.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
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Q6 = [1]. | abs13676 | 10.1038/s42005-021-00631-2 | Critical behavior in interdependent spatial spreading processes with distinct characteristic time scales | The spread of an infectious disease is well approximated by metapopulation networks connected by human mobility flow and upon which an epidemiological model is defined. In order to account for travel restrictions or cancellation we introduce a model with a parameter that explicitly indicates the ratio between the time scales of the intervening processes. We study the critical properties of the epidemic process and its dependence on such a parameter. We find that the critical threshold separating the absorbing state from the active state depends on the scale parameter and exhibits a critical behavior itself: a metacritical point - a critical value in the curve of critical points - reflected in the behavior of the attack rate measured for a wide range of empirical metapopulation systems. Our results have potential policy implications, since they establish a non-trivial critical behavior between temporal scales of reaction (epidemic spread) and diffusion (human mobility) processes. The time scales of individual contagion and human mobility are both relevant to understand the evolution of epidemics. Here, the authors study a reaction-diffusion process for an epidemic metapopulation model, showing that modulating the relative time scale of these two processes produces different epidemic outcomes and can reproduce the effect of non-pharmaceutical interventions. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Identifying Travel Regions Using Location-Based Social Network Check-in Data."
Abstract:"Travel regions are not necessarily defined by political or administrative boundaries. For example, in the Schengen region of Europe, tourists can travel freely across borders irrespective of national borders. Identifying transboundary travel regions is an interesting problem which we aim to solve using mobility analysis of Twitter users. Our proposed solution comprises collecting geotagged tweets, combining them into trajectories and, thus, mining thousands of trips undertaken by twitter users. After aggregating these trips into a mobility graph, we apply a community detection algorithm to find coherent regions throughout the world. The discovered regions provide insights into international travel and can reveal both domestic and transnational travel regions.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [0];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [1]. | abs07075 | 10.3389/fdata.2019.00012 | Identifying Travel Regions Using Location-Based Social Network Check-in Data | Travel regions are not necessarily defined by political or administrative boundaries. For example, in the Schengen region of Europe, tourists can travel freely across borders irrespective of national borders. Identifying transboundary travel regions is an interesting problem which we aim to solve using mobility analysis of Twitter users. Our proposed solution comprises collecting geotagged tweets, combining them into trajectories and, thus, mining thousands of trips undertaken by twitter users. After aggregating these trips into a mobility graph, we apply a community detection algorithm to find coherent regions throughout the world. The discovered regions provide insights into international travel and can reveal both domestic and transnational travel regions. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Working with interpreters in mental health."
Abstract:"281 million people were recorded as having migrated across national borders by the United Nations in 2021, this equates to approximately 3.6 percent of the world's population. Forced migrants/refugees account for 12 per cent of all international migrants. A percentage of these people will not speak the language of their new country fluently. If they are to access and utilize mental health services, they will require access to an interpreter. This paper provides guidance on working with interpreters in health settings when the work is either face to face or on-line. These guidelines are based on those written by the authors for the British Psychological Society. Working effectively with interpreters should be a skill in the repertoire of every clinician. This is to ensure that equal opportunities are upheld and that certain groups (including forced migrants) are not denied access to mental health services. Interpreters may also assist with teaching clinicians about diverse cultural views surrounding mental health and well-being. They may also advise on idioms of distress, cultural meanings and expression of emotional problems across cultures, explanatory health models and contextual factors which may help extend the repertoire of clinicians. The guidelines cover key recommendations for practice, booking and finding an interpreter, preparation before the consultation/meeting, practical considerations, preparation with the interpreter, during the meeting/consultation, issues to address after the meeting, written translations, psychometric testing, working by telephone or online and other issues to consider when working with an interpreter. These are reproduced below (with the permission of the BPS) in a shortened and updated form.Key recommendations for practiceUndertake a language needs analysis of the population covered by your service or Trust and consider how you will best meet needs.If you have not undertaken training in working with interpreters, undertake a training course. If you are working with an interpreter unexpectedly and training is not feasible, read these or other relevant guidelines and allocate time to consider the issues or discuss them with a more experienced colleague.Check that the interpreter is qualified and appropriate for the consultation/meeting and speaks the service user's first language.Allocate 10-15minutes in advance of the session to brief the interpreter about the purpose of the meeting and to enable them to inform you about any cultural issues which may have bearing on the session.Be mindful of issues of confidentiality and trust when working with someone from a small language community as the service user may be anxious about being identifiable and mistrustful of an interpreter's professionalism. This has particular relevance when working with forced migrants.State clearly that you alone hold clinical responsibility for the meeting.Commit to a collaborative working relationship based on trust and mutual respect.M."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [0]. | abs19374 | 10.1080/09540261.2022.2073202 | Working with interpreters in mental health | 281 million people were recorded as having migrated across national borders by the United Nations in 2021, this equates to approximately 3.6 percent of the world's population. Forced migrants/refugees account for 12 per cent of all international migrants. A percentage of these people will not speak the language of their new country fluently. If they are to access and utilize mental health services, they will require access to an interpreter. This paper provides guidance on working with interpreters in health settings when the work is either face to face or on-line. These guidelines are based on those written by the authors for the British Psychological Society. Working effectively with interpreters should be a skill in the repertoire of every clinician. This is to ensure that equal opportunities are upheld and that certain groups (including forced migrants) are not denied access to mental health services. Interpreters may also assist with teaching clinicians about diverse cultural views surrounding mental health and well-being. They may also advise on idioms of distress, cultural meanings and expression of emotional problems across cultures, explanatory health models and contextual factors which may help extend the repertoire of clinicians. The guidelines cover key recommendations for practice, booking and finding an interpreter, preparation before the consultation/meeting, practical considerations, preparation with the interpreter, during the meeting/consultation, issues to address after the meeting, written translations, psychometric testing, working by telephone or online and other issues to consider when working with an interpreter. These are reproduced below (with the permission of the BPS) in a shortened and updated form.Key recommendations for practiceUndertake a language needs analysis of the population covered by your service or Trust and consider how you will best meet needs.If you have not undertaken training in working with interpreters, undertake a training course. If you are working with an interpreter unexpectedly and training is not feasible, read these or other relevant guidelines and allocate time to consider the issues or discuss them with a more experienced colleague.Check that the interpreter is qualified and appropriate for the consultation/meeting and speaks the service user's first language.Allocate 10-15minutes in advance of the session to brief the interpreter about the purpose of the meeting and to enable them to inform you about any cultural issues which may have bearing on the session.Be mindful of issues of confidentiality and trust when working with someone from a small language community as the service user may be anxious about being identifiable and mistrustful of an interpreter's professionalism. This has particular relevance when working with forced migrants.State clearly that you alone hold clinical responsibility for the meeting.Commit to a collaborative working relationship based on trust and mutual respect.Match if appropriate for gender, age or religion, avoid using relatives and never use a child.Create an atmosphere where each member of the triad feels able to ask for clarification if anything is unclear and be respectful to your interpreter, they are an important member of the team who makes your work possible.Be aware of the well-being of your interpreter and mindful of the risk of vicarious traumatization. Consider what support they will be offered, and if they are subcontracted from an external agency, be aware that there is often little support provided by their employer. At the end of the session always allocate 10-15minutes to debrief the interpreter about the session and offer support and supervision as appropriate.Extreme caution should be exercised when considering the use of translated assessment measures as languages and concepts are not interchangeable and results may therefore not be valid or meaningful.All written translations used should have been back translated to ensure they are fit for purpose.Commissioners of health services need to ensure that there are clear pathways to support for all members of their local community including those who do not speak the majority language. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Proportion of Refractive Errors in a Polish Immigrant Population in Chicago."
Abstract:"Purpose. This retrospective record review was conducted to investigate the proportion of patients with refractive error in a Polish immigrant population residing in an urban environment. Illinois has more than 1 million people of Polish descent as citizens, and Chicago is considered to have the second largest population of Polish descent in the world, outside of Warsaw, Poland. Methods. Six hundred seventy-five records (271 men/404 women) of Polish immigrants were reviewed from a practice with >92% Polish immigrants in the patient base. The patients ranged in age from 3 to 94 years. Refractive status for each eye, and the existence of any strabismus or amblyopia, was recorded. Results. The proportion of myopia [spherical equivalent at least -0.75 diopter (D)] was found to be 35.1%, whereas the proportion of hyperopia (spherical equivalent >= +0.75 D) was found to be 38.4%. Fifteen percent of the patients exhibited astigmatism >= 1.00 D. Amblyopia was present in 9% of the patients, whereas the prevalence of strabismus was found to be 3%, with 76% of the strabismics exhibiting esotropia. In the 0- to 18-year age range and the 19- to 45-year age range, the most common refractive error was low myopia (43.9 and 36.9%), whereas in the patients >45 years of age, it was low hyperopia (31.2%). Conclusions. Refractive error data are presented for a population base that has not been previously reported, although Polish Americans comprise 3% of the US population. Myopia is more common in young Polish patients than in the general US population. The strong hyperopic shift in older patients may either be normal aging or the product of increased near work in the young. The high rates of amblyopia call for more aggressive education and treatment. (Optom Vis Sci 2010; 87: 588-592)."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [0,3];
Q3 = [0];
Q4 = [0];
Q5 = [0];
Q6 = [1]. | abs04113 | 10.1097/OPX.0b013e3181e61beb | Proportion of Refractive Errors in a Polish Immigrant Population in Chicago | Purpose. This retrospective record review was conducted to investigate the proportion of patients with refractive error in a Polish immigrant population residing in an urban environment. Illinois has more than 1 million people of Polish descent as citizens, and Chicago is considered to have the second largest population of Polish descent in the world, outside of Warsaw, Poland. Methods. Six hundred seventy-five records (271 men/404 women) of Polish immigrants were reviewed from a practice with >92% Polish immigrants in the patient base. The patients ranged in age from 3 to 94 years. Refractive status for each eye, and the existence of any strabismus or amblyopia, was recorded. Results. The proportion of myopia [spherical equivalent at least -0.75 diopter (D)] was found to be 35.1%, whereas the proportion of hyperopia (spherical equivalent >= +0.75 D) was found to be 38.4%. Fifteen percent of the patients exhibited astigmatism >= 1.00 D. Amblyopia was present in 9% of the patients, whereas the prevalence of strabismus was found to be 3%, with 76% of the strabismics exhibiting esotropia. In the 0- to 18-year age range and the 19- to 45-year age range, the most common refractive error was low myopia (43.9 and 36.9%), whereas in the patients >45 years of age, it was low hyperopia (31.2%). Conclusions. Refractive error data are presented for a population base that has not been previously reported, although Polish Americans comprise 3% of the US population. Myopia is more common in young Polish patients than in the general US population. The strong hyperopic shift in older patients may either be normal aging or the product of increased near work in the young. The high rates of amblyopia call for more aggressive education and treatment. (Optom Vis Sci 2010; 87: 588-592) |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Alcohol use and internal migration in Nepal: a cross-sectional study."
Abstract:"BackgroundAlcohol use is a leading cause of disease. Although low- and middle-income countries (LMICs) have lower per capita alcohol consumption, the alcohol-attributable disease burden is high in these settings with consumption increasing. LMICs are also experiencing unprecedented levels of internal migration, potentially increasing mental stress, changing social restrictions on drinking, and increasing alcohol availability. We assessed the relationship between internal migration, opportunity to drink, and the transition from first use to regular alcohol use and alcohol use disorders (AUD) in Nepal, a low-income, South Asian country. MethodsA representative sample of 7435 individuals, aged 15-59 from Nepal were interviewed in 2016-2018 (93% response rate) with clinically validated measures of alcohol use and disorders and life history calendar measures of lifetime migration experiences. Discrete-time hazard models assessed associations between migration and alcohol use outcomes. ResultsNet of individual sociodemographic characteristics, internal migration was associated with increased odds of opportunity to drink (OR 1.32, 95% CI 1.14 to 1.53), onset of regular alcohol use given lifetime use (OR 1.29, 95% CI 1.13 to 1.48) and AUD given lifetime use (OR 1.24, 95% CI 0.99 to 1.57). The statistically significant association between internal migration and opportunity to drink was specific to females, whereas the associations between migration and regular use and disorder were statistically significant for males. ConclusionsDespite high rates of internal migration worldwide, most research studying migration and alcohol use focuses on international migrants. Findings suggest that internal migrants are at increased risk to transition into alcohol use and disorders. Support services for internal migrants could prevent problematic alcohol use among this underserved population.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [3];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs06644 | 10.1136/jech-2022-220030 | Alcohol use and internal migration in Nepal: a cross-sectional study | BackgroundAlcohol use is a leading cause of disease. Although low- and middle-income countries (LMICs) have lower per capita alcohol consumption, the alcohol-attributable disease burden is high in these settings with consumption increasing. LMICs are also experiencing unprecedented levels of internal migration, potentially increasing mental stress, changing social restrictions on drinking, and increasing alcohol availability. We assessed the relationship between internal migration, opportunity to drink, and the transition from first use to regular alcohol use and alcohol use disorders (AUD) in Nepal, a low-income, South Asian country. MethodsA representative sample of 7435 individuals, aged 15-59 from Nepal were interviewed in 2016-2018 (93% response rate) with clinically validated measures of alcohol use and disorders and life history calendar measures of lifetime migration experiences. Discrete-time hazard models assessed associations between migration and alcohol use outcomes. ResultsNet of individual sociodemographic characteristics, internal migration was associated with increased odds of opportunity to drink (OR 1.32, 95% CI 1.14 to 1.53), onset of regular alcohol use given lifetime use (OR 1.29, 95% CI 1.13 to 1.48) and AUD given lifetime use (OR 1.24, 95% CI 0.99 to 1.57). The statistically significant association between internal migration and opportunity to drink was specific to females, whereas the associations between migration and regular use and disorder were statistically significant for males. ConclusionsDespite high rates of internal migration worldwide, most research studying migration and alcohol use focuses on international migrants. Findings suggest that internal migrants are at increased risk to transition into alcohol use and disorders. Support services for internal migrants could prevent problematic alcohol use among this underserved population. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"The protection of migrants under international humanitarian law."
Abstract:"The movement of migrants across international borders may result in grave humanitarian consequences and protection and assistance needs for those involved. Although many reach their destinations safely, others may find themselves in a country experiencing armed conflict - either because they live there or are travelling through there - and may endure great difficulties and be particularly vulnerable. In these situations, as civilians, migrants are protected under international humanitarian law (IHL) against the effects of hostilities and when in the hands of a party to the conflict. This article will provide an overview of the protection afforded by IHL to migrants as civilians in international and non-international armed conflicts. It will then examine more closely certain particularly relevant rules for the issue of migration, notably those related to the movement of migrants, family unity, and missing and dead migrants. In this way, this article will show that IHL provides important legal protections for migrants finding themselves in situations of armed conflict.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,7];
Q3 = [2];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs13584 | 10.1017/S1816383118000103 | The protection of migrants under international humanitarian law | The movement of migrants across international borders may result in grave humanitarian consequences and protection and assistance needs for those involved. Although many reach their destinations safely, others may find themselves in a country experiencing armed conflict - either because they live there or are travelling through there - and may endure great difficulties and be particularly vulnerable. In these situations, as civilians, migrants are protected under international humanitarian law (IHL) against the effects of hostilities and when in the hands of a party to the conflict. This article will provide an overview of the protection afforded by IHL to migrants as civilians in international and non-international armed conflicts. It will then examine more closely certain particularly relevant rules for the issue of migration, notably those related to the movement of migrants, family unity, and missing and dead migrants. In this way, this article will show that IHL provides important legal protections for migrants finding themselves in situations of armed conflict. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Mental Health and Wellbeing of South Sudanese-Australians."
Abstract:"The majority of South Sudanese-Australians arrived in Australia, and other host countries outside Africa, after spending a greater part of their lives in refugee camps or conflict-affected areas. In addition, refugees are often not able to return to their home countries because the causes of their departure (wars, insecurity, hunger) continue to apply in their country of origin. The purpose of this paper is to examine some of the mental health and wellbeing issues some South Sudanese-Australians experience as a result of settlement difficulties and their earlier experience of conflict. The study looks at experiences of resettlement and settlement difficulties, and, more importantly, mental health and wellbeing issues in the wake of the aforesaid challenges. The data was collected from a qualitative method which comprised a series of semi-structured, one-on-one interviews with a total of 20 South Sudanese-Australians living in Melbourne. There were 11 males and nine females, with ages ranging from 18 to 64 years, who volunteered to participate in this study. Findings indicated that, as with many other people from refugee backgrounds, South Sudanese-Australians face a range of settlement-related challenges, and a host of post-resettlement adaptation experiences such as limited change of gender roles, language proficiency, unemployment, host society unacceptance or intolerance, constrained recreational opportunities, lack of community connectedness and overall mental health and general wellbeing issues. Experiencing conflict can be traumatic and refuge in neighbouring countries that are socio-culturally different can be challenging. In conclusion, these issues can not only be troublesome on a day-to-day basis, but also adversely affect the long-term mental health and wellbeing of refugees.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5,6];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs12222 | 10.1177/0021909619880294 | Mental Health and Wellbeing of South Sudanese-Australians | The majority of South Sudanese-Australians arrived in Australia, and other host countries outside Africa, after spending a greater part of their lives in refugee camps or conflict-affected areas. In addition, refugees are often not able to return to their home countries because the causes of their departure (wars, insecurity, hunger) continue to apply in their country of origin. The purpose of this paper is to examine some of the mental health and wellbeing issues some South Sudanese-Australians experience as a result of settlement difficulties and their earlier experience of conflict. The study looks at experiences of resettlement and settlement difficulties, and, more importantly, mental health and wellbeing issues in the wake of the aforesaid challenges. The data was collected from a qualitative method which comprised a series of semi-structured, one-on-one interviews with a total of 20 South Sudanese-Australians living in Melbourne. There were 11 males and nine females, with ages ranging from 18 to 64 years, who volunteered to participate in this study. Findings indicated that, as with many other people from refugee backgrounds, South Sudanese-Australians face a range of settlement-related challenges, and a host of post-resettlement adaptation experiences such as limited change of gender roles, language proficiency, unemployment, host society unacceptance or intolerance, constrained recreational opportunities, lack of community connectedness and overall mental health and general wellbeing issues. Experiencing conflict can be traumatic and refuge in neighbouring countries that are socio-culturally different can be challenging. In conclusion, these issues can not only be troublesome on a day-to-day basis, but also adversely affect the long-term mental health and wellbeing of refugees. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Issues in the conservation and management of forests in Laos: The case of Sangthong District."
Abstract:"Amidst the increasing concern about steadily depleting forests in Laos, this paper examines its causes and existing forest management systems in Sangthong District. Forests in Sangthong were virtually undisturbed until the early 1970s. Guided by customary law, a relatively small local population utilised the forest sustainably for food, fodder, wood fuel and construction materials. Subsequently the government effectively abolished customary law through the declaration of forests as state property and the sanctioning of logging. Logging was banned in the early 1990s but forest degradation continues as a result of ongoing logging, the open access to forests, the government policy of utilising degraded forests for agriculture, and population pressure from in-migration. Village surveys show that local people appreciate ecological and economic values of forest resources and are willing to contribute to their management. These social qualities lay the foundation of a sustainable forest management system, but the evolution of this type of system has been prevented by the open access to forest resources. For effective forest conservation a management strategy focused on property rights reform, public participation and integrated rural development is proposed.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [2];
Q3 = [];
Q4 = [16];
Q5 = [];
Q6 = [1]. | abs05015 | 10.1111/j.1467-9493.1998.tb00251.x | Issues in the conservation and management of forests in Laos: The case of Sangthong District | Amidst the increasing concern about steadily depleting forests in Laos, this paper examines its causes and existing forest management systems in Sangthong District. Forests in Sangthong were virtually undisturbed until the early 1970s. Guided by customary law, a relatively small local population utilised the forest sustainably for food, fodder, wood fuel and construction materials. Subsequently the government effectively abolished customary law through the declaration of forests as state property and the sanctioning of logging. Logging was banned in the early 1990s but forest degradation continues as a result of ongoing logging, the open access to forests, the government policy of utilising degraded forests for agriculture, and population pressure from in-migration. Village surveys show that local people appreciate ecological and economic values of forest resources and are willing to contribute to their management. These social qualities lay the foundation of a sustainable forest management system, but the evolution of this type of system has been prevented by the open access to forest resources. For effective forest conservation a management strategy focused on property rights reform, public participation and integrated rural development is proposed. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"The Prevalence of Gallstone Disease Is Significantly Lower in Natives than in Migrants of Jeju Island."
Abstract:"Background: The eating habits of Jeju Island natives are quite different from those of the mainland people because of geographic isolation. Diet is a main factor affecting gallstone disease. We investigated the prevalence of gallstone disease in both Jeju Island natives and migrants and studied the risk factors affecting gallstone disease in the Jeju Island people. Methods: A total of 20,763 subjects who underwent medical checkups at the Health Promotion Center of Jeju National University Hospital in Korea from January 2003 to December 2015 were enrolled in the study. Ultrasonography was used to determine the presence of gallbladder stones. Body mass index and biochemical parameters, including liver function test results, lipid profiles, and fasting blood glucose levels, were verified, and data on age, birthplace, and sex were collected from medical records. Univariate and multivariate analyses were performed to identify risk factors affecting gallstone disease. Results: The prevalence of gallstone disease in the Jeju Island people was 4.0%: Jeju Island natives, 3.8% and migrants, 4.4% (P=0.047). After multivariate logistic regression analysis, the independent risk factors were older age, Jeju migrants, higher fasting blood glucose and alanine aminotransferase levels, and lower high-density lipoprotein cholesterol levels. Conclusion: The prevalence of gallstone disease was significantly lower in natives than in migrants from Jeju Island. Older age, Jeju migrants, higher fasting blood glucose and alanine aminotransferase levels, and lower high-density lipoprotein cholesterol levels contributed to gallstone disease prevalence in the Jeju Island people.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [2];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [1]. | abs02338 | 10.4082/kjfm.2018.39.3.147 | The Prevalence of Gallstone Disease Is Significantly Lower in Natives than in Migrants of Jeju Island | Background: The eating habits of Jeju Island natives are quite different from those of the mainland people because of geographic isolation. Diet is a main factor affecting gallstone disease. We investigated the prevalence of gallstone disease in both Jeju Island natives and migrants and studied the risk factors affecting gallstone disease in the Jeju Island people. Methods: A total of 20,763 subjects who underwent medical checkups at the Health Promotion Center of Jeju National University Hospital in Korea from January 2003 to December 2015 were enrolled in the study. Ultrasonography was used to determine the presence of gallbladder stones. Body mass index and biochemical parameters, including liver function test results, lipid profiles, and fasting blood glucose levels, were verified, and data on age, birthplace, and sex were collected from medical records. Univariate and multivariate analyses were performed to identify risk factors affecting gallstone disease. Results: The prevalence of gallstone disease in the Jeju Island people was 4.0%: Jeju Island natives, 3.8% and migrants, 4.4% (P=0.047). After multivariate logistic regression analysis, the independent risk factors were older age, Jeju migrants, higher fasting blood glucose and alanine aminotransferase levels, and lower high-density lipoprotein cholesterol levels. Conclusion: The prevalence of gallstone disease was significantly lower in natives than in migrants from Jeju Island. Older age, Jeju migrants, higher fasting blood glucose and alanine aminotransferase levels, and lower high-density lipoprotein cholesterol levels contributed to gallstone disease prevalence in the Jeju Island people. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Spatio-temporal Graph Learning for Epidemic Prediction."
Abstract:"The COVID-19 pandemic has posed great challenges to public health services, government agencies, and policymakers, raising huge social conflicts between public health and economic resilience. Policies such as reopening or closure of business activities are formulated based on scientific projections of infection risks obtained from infection dynamics models. Though most parameters in epidemic prediction service models can be set with domain knowledge of COVID-19, a key parameter, namely, human mobility, is often challenging to estimate due to complex spatio-temporal correlations and social contexts under escalating COVID-19 facilities. Moreover, how to integrate the various implicit features to accurately predict infectious cases is still an open issue. To address this challenge, we formulate the problem as a spatio-temporal network representation problem and propose STEP, a Spatio-Temporal Epidemic Prediction framework, to estimate pandemic infection risk of a city by integrating various real-world conditions (e.g., City Risk Index, climate, and medical conditions) into graph-structured data. We also employ a multi-head attention mechanism in representation learning to extract implicit features for a given city. Extensive experiments have been conducted upon the real-world dataset for 51 states (50 states and Washington, D.C.) of the USA. Experimental results show that STEP can yield more accurate pandemic infection risk estimation than baseline methods. Moreover, STEP outperforms other methods in both short-term and long-term prediction.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [2];
Q4 = [];
Q5 = [];
Q6 = [1]. | abs17781 | 10.1145/3579815 | Spatio-temporal Graph Learning for Epidemic Prediction | The COVID-19 pandemic has posed great challenges to public health services, government agencies, and policymakers, raising huge social conflicts between public health and economic resilience. Policies such as reopening or closure of business activities are formulated based on scientific projections of infection risks obtained from infection dynamics models. Though most parameters in epidemic prediction service models can be set with domain knowledge of COVID-19, a key parameter, namely, human mobility, is often challenging to estimate due to complex spatio-temporal correlations and social contexts under escalating COVID-19 facilities. Moreover, how to integrate the various implicit features to accurately predict infectious cases is still an open issue. To address this challenge, we formulate the problem as a spatio-temporal network representation problem and propose STEP, a Spatio-Temporal Epidemic Prediction framework, to estimate pandemic infection risk of a city by integrating various real-world conditions (e.g., City Risk Index, climate, and medical conditions) into graph-structured data. We also employ a multi-head attention mechanism in representation learning to extract implicit features for a given city. Extensive experiments have been conducted upon the real-world dataset for 51 states (50 states and Washington, D.C.) of the USA. Experimental results show that STEP can yield more accurate pandemic infection risk estimation than baseline methods. Moreover, STEP outperforms other methods in both short-term and long-term prediction. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Soviet Prefabricated Panel Housing Estates: Areas of Continued Social Mix or Decline? The Case of Tallinn."
Abstract:"Cities in the formerly centrally planned countries in the Soviet Union and Central Eastern Europe have transformed rapidly since the political and economic restructuring started in the late 1980s. To date, the main focus of research has been on new urban phenomena, particularly inner-city change and suburbanisation. However, these changes affect only a minority of the population, because most people still live in pre-transition housing stock. This study clarifies population changes in the most distinctive type of housing in the state socialist cities, high-rise prefabricated panel housing estates, in the light of the reform of housing privatisation. Many researchers have assumed that panel housing estates would quickly downgrade in the course of transition towards a market economy. However, the main results of the study show that these areas have maintained a relatively good image and social mix to the present day and that there are no straightforward signs of their socio-economic downgrading or becoming ethnic minority ghettos.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [0]. | abs04193 | 10.1080/02673030903561818 | Soviet Prefabricated Panel Housing Estates: Areas of Continued Social Mix or Decline? The Case of Tallinn | Cities in the formerly centrally planned countries in the Soviet Union and Central Eastern Europe have transformed rapidly since the political and economic restructuring started in the late 1980s. To date, the main focus of research has been on new urban phenomena, particularly inner-city change and suburbanisation. However, these changes affect only a minority of the population, because most people still live in pre-transition housing stock. This study clarifies population changes in the most distinctive type of housing in the state socialist cities, high-rise prefabricated panel housing estates, in the light of the reform of housing privatisation. Many researchers have assumed that panel housing estates would quickly downgrade in the course of transition towards a market economy. However, the main results of the study show that these areas have maintained a relatively good image and social mix to the present day and that there are no straightforward signs of their socio-economic downgrading or becoming ethnic minority ghettos. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Revitalization and Development of Karen Traditional Medicine for Sustainable Refugee Health Services at the Thai-Burma Border."
Abstract:"The Burmese regime's protracted violent conflict with its ethnic minorities has resulted in 2 million migrants and refugees settling across the border in Thailand. In addition there are an estimated 600,000 internally displaced people in border regions within Burma. For many, conventional health services are limited or unavailable. This article reports on the use, preservation, and practice of traditional Karen medicine among refugees and migrants along the Thai-Burma border. Traditional health practitioners are adapting their practices to meet refugee and migrants' changing needs, creating options for sustainable community-based health services.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,6];
Q3 = [2];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs15939 | 10.1080/15562948.2012.646224 | Revitalization and Development of Karen Traditional Medicine for Sustainable Refugee Health Services at the Thai-Burma Border | The Burmese regime's protracted violent conflict with its ethnic minorities has resulted in 2 million migrants and refugees settling across the border in Thailand. In addition there are an estimated 600,000 internally displaced people in border regions within Burma. For many, conventional health services are limited or unavailable. This article reports on the use, preservation, and practice of traditional Karen medicine among refugees and migrants along the Thai-Burma border. Traditional health practitioners are adapting their practices to meet refugee and migrants' changing needs, creating options for sustainable community-based health services. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Journeys and landscapes of forced migration: Memorializing fear among refugees and internally displaced Colombians."
Abstract:"In Colombia, a country with a long-standing multipolar armed conflict, the performance of violence in the form of massacres, selective assassinations, threats, disappearances, rape and forced displacement has turned fear into a powerful language by which the various armed actors communicate with society, reconfigure the landscape and regulate everyday life. Understanding forced migration as a form of displacement under coercion and fear, this article examines forms and notions of memorialized fear that are inscribed in the narratives of displacement and exile of a group of internally displaced persons (IDPs) in Colombia and Colombian refugees in Canada. The article explores the relationships between memory, fear, and forced migration as a means to advance an anthropological analysis of the ways people reconstruct their lives in the midst of displacement and change. I suggest that a continuum of fear marks the journeys of displacement and exile of Colombian forced migrants. Fear is expressed as embodied memory and narrative thread to remember the past, the journey of forced migration, the interactions with the forced migration regime and the arrival and experiences in another host society. In the context of change and the liminal situations of IDPs and refugees, I consider the weight of emotions such as fear in shaping experience and remembrance so as to offer a critical starting point in reconsidering approaches towards, and conceptualizations of, identity, re-establishment of rights and incorporation into new social landscapes.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5,6];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs16595 | 10.1111/j.1469-8676.2008.00036.x | Journeys and landscapes of forced migration: Memorializing fear among refugees and internally displaced Colombians | In Colombia, a country with a long-standing multipolar armed conflict, the performance of violence in the form of massacres, selective assassinations, threats, disappearances, rape and forced displacement has turned fear into a powerful language by which the various armed actors communicate with society, reconfigure the landscape and regulate everyday life. Understanding forced migration as a form of displacement under coercion and fear, this article examines forms and notions of memorialized fear that are inscribed in the narratives of displacement and exile of a group of internally displaced persons (IDPs) in Colombia and Colombian refugees in Canada. The article explores the relationships between memory, fear, and forced migration as a means to advance an anthropological analysis of the ways people reconstruct their lives in the midst of displacement and change. I suggest that a continuum of fear marks the journeys of displacement and exile of Colombian forced migrants. Fear is expressed as embodied memory and narrative thread to remember the past, the journey of forced migration, the interactions with the forced migration regime and the arrival and experiences in another host society. In the context of change and the liminal situations of IDPs and refugees, I consider the weight of emotions such as fear in shaping experience and remembrance so as to offer a critical starting point in reconsidering approaches towards, and conceptualizations of, identity, re-establishment of rights and incorporation into new social landscapes. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Helping from home: Singaporean youth volunteers with migrant-rights and human-trafficking NGOs in Singapore."
Abstract:"Social science literature on development volunteering has mainly focused on the interstices between overseas travel experiences and organised placements, with a particular focus on youth. To date, this literature has not engaged with development volunteering that takes place within one's home country where subjects of helping are nonetheless racially and developmentally inscribed Others, such as refugee groups and exploited or trafficked migrants. This paper explores the motivations for and meanings of youth volunteering in development at home. The site for this examination is volunteers with NGOs oriented to migrant rights and human trafficking in Singapore. The paper makes a case for recognition of a more complicated geography of volunteering in development which is inclusive of development issues and subjects at home. Following this, the paper argues that this expression of development volunteering complicates existing characterisations, principally as volunteers express opposition to socially and state sanctioned discourses of service learning through development. Therefore, it is important to consider the political and social context of development volunteering to understand the motivations and meanings attached to development volunteering.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [6];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs13051 | 10.1111/geoj.12221 | Helping from home: Singaporean youth volunteers with migrant-rights and human-trafficking NGOs in Singapore | Social science literature on development volunteering has mainly focused on the interstices between overseas travel experiences and organised placements, with a particular focus on youth. To date, this literature has not engaged with development volunteering that takes place within one's home country where subjects of helping are nonetheless racially and developmentally inscribed Others, such as refugee groups and exploited or trafficked migrants. This paper explores the motivations for and meanings of youth volunteering in development at home. The site for this examination is volunteers with NGOs oriented to migrant rights and human trafficking in Singapore. The paper makes a case for recognition of a more complicated geography of volunteering in development which is inclusive of development issues and subjects at home. Following this, the paper argues that this expression of development volunteering complicates existing characterisations, principally as volunteers express opposition to socially and state sanctioned discourses of service learning through development. Therefore, it is important to consider the political and social context of development volunteering to understand the motivations and meanings attached to development volunteering. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Socio-economic determinants of suicide rates in transforming China: A spatial-temporal analysis from 1990 to 2015."
Abstract:"Background China has experienced dramatic social changes in the last three decades. This study aimed to investigate socio-economic factors related to suicide rates in China from 1990 to 2015, and examine how the impacts of these factors on suicide rates changed over time. Methods Suicide rates in 31 provinces in mainland China between 1990 and 2015 were obtained from the Global Burden of Disease (GBD) Study 2019. Temporal-spatial modelling was applied to assess the effects of GDP per capita, urbanization, migration, employment, divorce, proportions of children and older adults on provincial overall, male and female suicide rates. Findings The overall suicide rate in China declined from 18.1 /100,000 in 1990 to 8.6 /100,000 in 2015, with considerable spatial variation in the magnitude of decline across provinces. The protective effects of increasing in GDP per capita, and urbanization, on provincial suicide rate were strong in 1990 (log GDP:-3.56 [95% CI:-6.15,-0.96], urbanisation:-0.07 [-0.14,-0.01]), however these effects were negligible by 2015. The association between employment and suicide rates has shifted from positive to negative over the study period, while migration remained a constant risk factor for high suicide rates (0.04 [0.00, 0.09]). Interpretation This study highlighted the dynamic effects of economic and social factors on suicide rates in the context of transforming China. To maintain further reductions in suicide rates cannot rely simply on improving people's materialistic and economic conditions. A more holistic approach to improve overall population well-being is needed. Copyright circle star 2021 The Author(s). Published by Elsevier Ltd.This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [1];
Q6 = [1]. | abs00689 | 10.1016/j.lanwpc.2021.100341 | Socio-economic determinants of suicide rates in transforming China: A spatial-temporal analysis from 1990 to 2015 | Background China has experienced dramatic social changes in the last three decades. This study aimed to investigate socio-economic factors related to suicide rates in China from 1990 to 2015, and examine how the impacts of these factors on suicide rates changed over time. Methods Suicide rates in 31 provinces in mainland China between 1990 and 2015 were obtained from the Global Burden of Disease (GBD) Study 2019. Temporal-spatial modelling was applied to assess the effects of GDP per capita, urbanization, migration, employment, divorce, proportions of children and older adults on provincial overall, male and female suicide rates. Findings The overall suicide rate in China declined from 18.1 /100,000 in 1990 to 8.6 /100,000 in 2015, with considerable spatial variation in the magnitude of decline across provinces. The protective effects of increasing in GDP per capita, and urbanization, on provincial suicide rate were strong in 1990 (log GDP:-3.56 [95% CI:-6.15,-0.96], urbanisation:-0.07 [-0.14,-0.01]), however these effects were negligible by 2015. The association between employment and suicide rates has shifted from positive to negative over the study period, while migration remained a constant risk factor for high suicide rates (0.04 [0.00, 0.09]). Interpretation This study highlighted the dynamic effects of economic and social factors on suicide rates in the context of transforming China. To maintain further reductions in suicide rates cannot rely simply on improving people's materialistic and economic conditions. A more holistic approach to improve overall population well-being is needed. Copyright circle star 2021 The Author(s). Published by Elsevier Ltd.This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Speaking of Spirits: Oral History, Religious Change, and the Seen and Unseen Worlds of Hmong Americans."
Abstract:"This essay argues that oral history allows scholars to see what might otherwise be invisible to them: the gods and spirits that are a forceful presence in the lives of religious people. Oral history changes how scholars write religious history by illuminating how choices of religious belief, practice, and identity are rooted in how religious people understand and interact with an unseen spiritual world. To illustrate this point, this essay focuses on the religious changes experienced by Hmong Americans. Hmong decisions to adopt Christianity or return to indigenous Hmong religion were religious choices that were the product of the constant interaction between Hmong people and the gods that richly populate their spiritual landscape.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [0]. | abs13378 | 10.1093/ohr/ohw118 | Speaking of Spirits: Oral History, Religious Change, and the Seen and Unseen Worlds of Hmong Americans | This essay argues that oral history allows scholars to see what might otherwise be invisible to them: the gods and spirits that are a forceful presence in the lives of religious people. Oral history changes how scholars write religious history by illuminating how choices of religious belief, practice, and identity are rooted in how religious people understand and interact with an unseen spiritual world. To illustrate this point, this essay focuses on the religious changes experienced by Hmong Americans. Hmong decisions to adopt Christianity or return to indigenous Hmong religion were religious choices that were the product of the constant interaction between Hmong people and the gods that richly populate their spiritual landscape. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Work Resumption Rate and Migrant Workers' Income During the COVID-19 Pandemic."
Abstract:"The COVID-19 public health crisis has quickly led to an economic crisis, impacting many people and businesses in the world. This study examines how the pandemic affects workforces and workers' income. We quantify the impact of staggered resumption of work, after the coronavirus lockdowns, on the migrant workers' income. Using data on population movements of 366 Chinese cities at the daily level from the Baidu Maps-Migration Big Data Platform and historical data on the average monthly income of migrant workers, we find that the average work resumption rate (WRR) during the period of the Chinese Lantern Festival was 25.25%, which was only 30.67% of that in the same matched lunar calendar period in 2019. We then apply Gray Model First Order One Variable [GM (1, 1)] to predict the monthly income of migrant workers during the period of the COVID-19 pandemic. We show that, if without the influence of the COVID-19 pandemic, the average monthly income of migrant workers in 2020 will be expected to increase by 12% compared with 2019. We further conduct scenario analysis and show that the average monthly income of migrant workers in 2020 under the conservative scenario (COS), medium scenario (MES), and worse scenario (WOS) will be predicted to decrease by 2, 21, and 44%, respectively. Through testing, our prediction error is <5%. Our findings will help policymakers to decide when and how they implement a plan to ease the coronavirus lockdown and related financial support policies.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs19854 | 10.3389/fpubh.2021.678934 | Work Resumption Rate and Migrant Workers' Income During the COVID-19 Pandemic | The COVID-19 public health crisis has quickly led to an economic crisis, impacting many people and businesses in the world. This study examines how the pandemic affects workforces and workers' income. We quantify the impact of staggered resumption of work, after the coronavirus lockdowns, on the migrant workers' income. Using data on population movements of 366 Chinese cities at the daily level from the Baidu Maps-Migration Big Data Platform and historical data on the average monthly income of migrant workers, we find that the average work resumption rate (WRR) during the period of the Chinese Lantern Festival was 25.25%, which was only 30.67% of that in the same matched lunar calendar period in 2019. We then apply Gray Model First Order One Variable [GM (1, 1)] to predict the monthly income of migrant workers during the period of the COVID-19 pandemic. We show that, if without the influence of the COVID-19 pandemic, the average monthly income of migrant workers in 2020 will be expected to increase by 12% compared with 2019. We further conduct scenario analysis and show that the average monthly income of migrant workers in 2020 under the conservative scenario (COS), medium scenario (MES), and worse scenario (WOS) will be predicted to decrease by 2, 21, and 44%, respectively. Through testing, our prediction error is <5%. Our findings will help policymakers to decide when and how they implement a plan to ease the coronavirus lockdown and related financial support policies. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Good international citizenship and special responsibilities to protect refugees."
Abstract:"Good international citizenship is generally seen, either implicitly or explicitly, as being a matter of fulfilling general duties in the realm of foreign policy. In this article, I challenge this prevailing view, by arguing that good international citizenship frequently involves discharging special responsibilities to protect, which in turn involves grants of asylum to refugees. While arguing that asylum should be seen as an important element of good international citizenship as a matter of course, it assumes an even more central role in this citizenship in two scenarios. The first is where humanitarian intervention is either imprudent or politically impossible without violating the procedural norms of international society. The second is when intervention-whether pursued for humanitarian or other reasons-creates refugees, and intervening states may thereby acquire special responsibilities to protect those refugees.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [5];
Q3 = [2];
Q4 = [0];
Q5 = [1];
Q6 = [0]. | abs07355 | 10.1177/1369148116659607 | Good international citizenship and special responsibilities to protect refugees | Good international citizenship is generally seen, either implicitly or explicitly, as being a matter of fulfilling general duties in the realm of foreign policy. In this article, I challenge this prevailing view, by arguing that good international citizenship frequently involves discharging special responsibilities to protect, which in turn involves grants of asylum to refugees. While arguing that asylum should be seen as an important element of good international citizenship as a matter of course, it assumes an even more central role in this citizenship in two scenarios. The first is where humanitarian intervention is either imprudent or politically impossible without violating the procedural norms of international society. The second is when intervention-whether pursued for humanitarian or other reasons-creates refugees, and intervening states may thereby acquire special responsibilities to protect those refugees. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Risk of thyroid cancer among Iranian immigrants in Sweden."
Abstract:"Objectives: Studies of immigrants are of value to elucidate the role of environmental factors in cancer causation, but large cohorts are needed in order to study rare cancers. We conducted a register-based study of a cohort of 59,274 (32,236 men and 27,038 women) Swedish residents born in Iran, with follow-up between 1969 and 2004. We identified 50 incident cases of thyroid cancer during more than 800 thousands person-years of observation. Methods: Rate ratios (RR) were calculated based on Poisson models estimated by the maximum likelihood method, using Swedish born residents with both parents born in Sweden as reference population. 95% confidence interval was estimated on the assumption that the observed numbers of cancers follow a Poisson distribution. Results: The adjusted RR of thyroid cancer among Iranian immigrants was 2.6 (95% CI 2.0-3.5), without appreciable sex differences. In both sexes, the excess risk was highest among people who were younger than 30 years at immigration. Among women, the largest excess risk (adjusted RR = 4.6, 95% CI 2.9-7.4) was observed during the first 5 years from immigration, while for men, during the second decade from immigration. The rateratio was higher among subjects who immigrated before 1990 (adjusted RR = 2.7, 95% CI 2.0-3.8) than among those immigrated thereafter, particularly among men. Conclusion: The observed excess risk among Iranian immigrants compared to Swedish-born residents is compatible with differential burden of environmental risk factors, the most likely of which are iodine deficiency and high natural levels of ionizing radiation.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs04420 | 10.1007/s10552-007-9087-4 | Risk of thyroid cancer among Iranian immigrants in Sweden | Objectives: Studies of immigrants are of value to elucidate the role of environmental factors in cancer causation, but large cohorts are needed in order to study rare cancers. We conducted a register-based study of a cohort of 59,274 (32,236 men and 27,038 women) Swedish residents born in Iran, with follow-up between 1969 and 2004. We identified 50 incident cases of thyroid cancer during more than 800 thousands person-years of observation. Methods: Rate ratios (RR) were calculated based on Poisson models estimated by the maximum likelihood method, using Swedish born residents with both parents born in Sweden as reference population. 95% confidence interval was estimated on the assumption that the observed numbers of cancers follow a Poisson distribution. Results: The adjusted RR of thyroid cancer among Iranian immigrants was 2.6 (95% CI 2.0-3.5), without appreciable sex differences. In both sexes, the excess risk was highest among people who were younger than 30 years at immigration. Among women, the largest excess risk (adjusted RR = 4.6, 95% CI 2.9-7.4) was observed during the first 5 years from immigration, while for men, during the second decade from immigration. The rateratio was higher among subjects who immigrated before 1990 (adjusted RR = 2.7, 95% CI 2.0-3.8) than among those immigrated thereafter, particularly among men. Conclusion: The observed excess risk among Iranian immigrants compared to Swedish-born residents is compatible with differential burden of environmental risk factors, the most likely of which are iodine deficiency and high natural levels of ionizing radiation. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"City profile: New Tehri."
Abstract:"Large-scale development projects often lead to massive population displacement induced by the Dam. A number of planners, responsible organizations, resettlement experts and academic researchers have all put forward proposals for resettlement of such displaced population. Such an example of resettlement is the development of New Tehri Township for the people displaced by the Tehri Dam in India. New Tehri is an egalitarian city designed to achieve functionality, environmental sustainability, deep sensitivity of people, and their concerns. Planning for the new town entailed the integration of several diverse and sensitive issues like a high sense of responsiveness to people's needs; respect for the holding capacity and natural systems of the land; sustainability of the environment, and equal opportunities for all. In order to achieve the goal, five primary criteria, combined to form the basis for overall design and planning. The article examines the elements of urban form identified with reference to the primary criteria developed by the planners of the township and explains their assessment in the case study selected. The article attempts to highlight opportunities for researchers and planners in India and the world for analyzing, evaluating and criticizing hillside urban development and resettlement projects in terms of their sustainability.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [6];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [0]. | abs19982 | 10.1016/j.cities.2020.102718 | City profile: New Tehri | Large-scale development projects often lead to massive population displacement induced by the Dam. A number of planners, responsible organizations, resettlement experts and academic researchers have all put forward proposals for resettlement of such displaced population. Such an example of resettlement is the development of New Tehri Township for the people displaced by the Tehri Dam in India. New Tehri is an egalitarian city designed to achieve functionality, environmental sustainability, deep sensitivity of people, and their concerns. Planning for the new town entailed the integration of several diverse and sensitive issues like a high sense of responsiveness to people's needs; respect for the holding capacity and natural systems of the land; sustainability of the environment, and equal opportunities for all. In order to achieve the goal, five primary criteria, combined to form the basis for overall design and planning. The article examines the elements of urban form identified with reference to the primary criteria developed by the planners of the township and explains their assessment in the case study selected. The article attempts to highlight opportunities for researchers and planners in India and the world for analyzing, evaluating and criticizing hillside urban development and resettlement projects in terms of their sustainability. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Four novels and a poem for a Philosophy of Law."
Abstract:"The attention to literature as an instrument for the education of the jurist, as a language that allows transmitting what is at the core of law, is one of the characteristic features of Javier de Lucas's work. This paper selects four novels evoked in his lectures and writings to illuminate problems such as disobedience to the law, human mobility, citizenship, and the recognition of the other. By way of a closing clause, a reference to a poem condenses Professor De Lucas's commitment to the struggle against social exclusion.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [0];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs10577 | 10.7203/CEFD.49.26266 | Four novels and a poem for a Philosophy of Law | The attention to literature as an instrument for the education of the jurist, as a language that allows transmitting what is at the core of law, is one of the characteristic features of Javier de Lucas's work. This paper selects four novels evoked in his lectures and writings to illuminate problems such as disobedience to the law, human mobility, citizenship, and the recognition of the other. By way of a closing clause, a reference to a poem condenses Professor De Lucas's commitment to the struggle against social exclusion. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Retirement migration, the 'other' story: caring for frail elderly British citizens in Spain."
Abstract:"Recent years have seen a growth in research on retirement/lifestyle migration to Spain, however this has tended to focus on the reasons for moving, as well as the lifestyles adopted as part of a healthy and active retirement. However, ageing in Spain can bring challenges as a person's resources for independent living diminish. This paper draws on narrative interviews with vulnerable older British people in Spain, focusing on those who have encountered a severe decline in health, are frail and in need of care. It looks at the formal and informal networks and agencies that support these individuals, in particular the resources and strategies they employ to access care. Drawing on a framework of care provision developed by Glucksmann and Lyons, four broad modes of provision for old age care used by older British people in Spain are identified: state/public, family/community, voluntary/not-for-profit and market/for-profit. The paper argues that there are language, cultural, spatial and financial barriers when accessing care in Spain as an older British citizen. It is concluded that there are some frail, vulnerable people that may fall through a support gap, whereby they are no longer the responsibility of UK welfare services, yet not fully recognised in their new country of residence, and asks if more should be done to support this population.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs20354 | 10.1017/S0144686X14001342 | Retirement migration, the 'other' story: caring for frail elderly British citizens in Spain | Recent years have seen a growth in research on retirement/lifestyle migration to Spain, however this has tended to focus on the reasons for moving, as well as the lifestyles adopted as part of a healthy and active retirement. However, ageing in Spain can bring challenges as a person's resources for independent living diminish. This paper draws on narrative interviews with vulnerable older British people in Spain, focusing on those who have encountered a severe decline in health, are frail and in need of care. It looks at the formal and informal networks and agencies that support these individuals, in particular the resources and strategies they employ to access care. Drawing on a framework of care provision developed by Glucksmann and Lyons, four broad modes of provision for old age care used by older British people in Spain are identified: state/public, family/community, voluntary/not-for-profit and market/for-profit. The paper argues that there are language, cultural, spatial and financial barriers when accessing care in Spain as an older British citizen. It is concluded that there are some frail, vulnerable people that may fall through a support gap, whereby they are no longer the responsibility of UK welfare services, yet not fully recognised in their new country of residence, and asks if more should be done to support this population. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Vaccination Coverage Disparities Between Foreign-Born and US-Born Children Aged 19-35 Months, United States, 2010-2012."
Abstract:"Healthy People 2020 targets high vaccination coverage among children. Although reductions in coverage disparities by race/ethnicity have been described, data by nativity are limited. The National Immunization Survey is a random-digit-dialed telephone survey that estimates vaccination coverage among U.S. children aged 19-35 months. We assessed coverage among 52,441 children from pooled 2010-2012 data for individual vaccines and the combined 4:3:1:3*:3:1:4 series (which includes ae4 doses of diphtheria, tetanus, and acellular pertussis vaccine/diphtheria and tetanus toxoids vaccine/diphtheria, tetanus toxoids, and pertussis vaccine, ae3 doses of poliovirus vaccine, ae1 dose of measles-containing vaccine, ae3 or ae4 doses of Haemophilus influenzae type b vaccine (depending on product type of vaccine; denoted as 3* in the series name), ae3 doses of hepatitis B vaccine, ae1 dose of varicella vaccine, and ae4 doses of pneumococcal conjugate vaccine). Coverage estimates controlling for sociodemographic factors and multivariable logistic regression modeling for 4:3:1:3*:3:1:4 series completion are presented. Significantly lower coverage among foreign-born children was detected for DTaP, hepatitis A, hepatitis B, Hib, pneumococcal conjugate, and rotavirus vaccines, and for the combined series. Series completion disparities persisted after control for demographic, access-to-care, poverty, and language effects. Substantial and potentially widening disparities in vaccination coverage exist among foreign-born children. Improved immunization strategies targeting this population and continued vaccination coverage monitoring by nativity are needed.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [7];
Q3 = [1];
Q4 = [0];
Q5 = [0];
Q6 = [1]. | abs20259 | 10.1007/s10903-016-0465-4 | Vaccination Coverage Disparities Between Foreign-Born and US-Born Children Aged 19-35 Months, United States, 2010-2012 | Healthy People 2020 targets high vaccination coverage among children. Although reductions in coverage disparities by race/ethnicity have been described, data by nativity are limited. The National Immunization Survey is a random-digit-dialed telephone survey that estimates vaccination coverage among U.S. children aged 19-35 months. We assessed coverage among 52,441 children from pooled 2010-2012 data for individual vaccines and the combined 4:3:1:3*:3:1:4 series (which includes ae4 doses of diphtheria, tetanus, and acellular pertussis vaccine/diphtheria and tetanus toxoids vaccine/diphtheria, tetanus toxoids, and pertussis vaccine, ae3 doses of poliovirus vaccine, ae1 dose of measles-containing vaccine, ae3 or ae4 doses of Haemophilus influenzae type b vaccine (depending on product type of vaccine; denoted as 3* in the series name), ae3 doses of hepatitis B vaccine, ae1 dose of varicella vaccine, and ae4 doses of pneumococcal conjugate vaccine). Coverage estimates controlling for sociodemographic factors and multivariable logistic regression modeling for 4:3:1:3*:3:1:4 series completion are presented. Significantly lower coverage among foreign-born children was detected for DTaP, hepatitis A, hepatitis B, Hib, pneumococcal conjugate, and rotavirus vaccines, and for the combined series. Series completion disparities persisted after control for demographic, access-to-care, poverty, and language effects. Substantial and potentially widening disparities in vaccination coverage exist among foreign-born children. Improved immunization strategies targeting this population and continued vaccination coverage monitoring by nativity are needed. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"The tactical politics of humanitarian' immigration: negotiating stasis, enacting mobility."
Abstract:"Inspired by autonomy of migration and acts of citizenship literatures as frameworks for understanding migration, the paper analyzes the case of Haitian migrants in Brazil. It focuses, on the one hand, on the relational processes of constructing Haitian migrants as humanitarian immigrants' and, on the other, on the (im)perceptible tactics of survival and mobility enacted by them upon arrival. We argue that the humanitarian immigrant' label negotiates stasis by instantiating an ambivalent and depoliticized subjectivity, modulated in-between the refugee and the immigrant worker. Migrants challenge this framing and the precarity of controls created by it through imperceptible tactical interventions that allow them to provisionally escape the inhospitable conditions of reception at Brazilian borders. In their attempts to resist and redefine the terms of their presence, Haitian migrants have actualized a web of solidarity networks that have fostered alternative understandings of migration management and its relation with citizenship as a site of political struggles.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
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Q6 = [0]. | abs14801 | 10.1080/13621025.2016.1182679 | The tactical politics of humanitarian' immigration: negotiating stasis, enacting mobility | Inspired by autonomy of migration and acts of citizenship literatures as frameworks for understanding migration, the paper analyzes the case of Haitian migrants in Brazil. It focuses, on the one hand, on the relational processes of constructing Haitian migrants as humanitarian immigrants' and, on the other, on the (im)perceptible tactics of survival and mobility enacted by them upon arrival. We argue that the humanitarian immigrant' label negotiates stasis by instantiating an ambivalent and depoliticized subjectivity, modulated in-between the refugee and the immigrant worker. Migrants challenge this framing and the precarity of controls created by it through imperceptible tactical interventions that allow them to provisionally escape the inhospitable conditions of reception at Brazilian borders. In their attempts to resist and redefine the terms of their presence, Haitian migrants have actualized a web of solidarity networks that have fostered alternative understandings of migration management and its relation with citizenship as a site of political struggles. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"We Were a Chosen People: The East African Revival and Its Return To Post-Genocide Rwanda."
Abstract:"This article, drawing upon primary field research, analyzes the origins and history of the East African Revival of the 1930s and its ongoing relevance and role in post-genocide Rwanda. Starting as a Holiness-inspired, Anglican movement, the Revival persisted among the Tutsi Diaspora during their exile to refugee camps in Uganda following the 1959 Hutu-led Revolution and has returned with them following the coming to power of the Rwandan Patriotic Front in 1994. The Revival, as it presently experiences a reawakening in the post-genocide church, provides the Tutsi returnees with a spiritual mechanism to explain their plight as refugees and a means by which to heal from decades of suffering. Additionally, a narrative has emerged in which they believe themselves to be a Chosen People who found redemption and healing in the refugee camps by embracing the revival spirit. Many Anglican returnees further believe they have been chosen to bring healing and reconciliation, through the revivalist tradition, to post-genocide Rwanda. While the return of the Revival tradition in the post-genocide Anglican Church offers potential benefits for Rwanda's reconciliation and recovery, the church must also abandon its apolitical inclinations and challenge the ruling regime in the name of truth, democratization, and justice.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
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Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
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Q6 = [0]. | abs15429 | 10.1017/S0009640714000080 | We Were a Chosen People: The East African Revival and Its Return To Post-Genocide Rwanda | This article, drawing upon primary field research, analyzes the origins and history of the East African Revival of the 1930s and its ongoing relevance and role in post-genocide Rwanda. Starting as a Holiness-inspired, Anglican movement, the Revival persisted among the Tutsi Diaspora during their exile to refugee camps in Uganda following the 1959 Hutu-led Revolution and has returned with them following the coming to power of the Rwandan Patriotic Front in 1994. The Revival, as it presently experiences a reawakening in the post-genocide church, provides the Tutsi returnees with a spiritual mechanism to explain their plight as refugees and a means by which to heal from decades of suffering. Additionally, a narrative has emerged in which they believe themselves to be a Chosen People who found redemption and healing in the refugee camps by embracing the revival spirit. Many Anglican returnees further believe they have been chosen to bring healing and reconciliation, through the revivalist tradition, to post-genocide Rwanda. While the return of the Revival tradition in the post-genocide Anglican Church offers potential benefits for Rwanda's reconciliation and recovery, the church must also abandon its apolitical inclinations and challenge the ruling regime in the name of truth, democratization, and justice. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Risk Factors for Tuberculosis in Foreign-Born People (FBP) in Italy: A Systematic Review and Meta-Analysis."
Abstract:"In Italy, TB notifications in foreign-born people (FBP) are steadily increasing. To investigate this issue we did a meta-analysis on risk factors for FBP people. A systematic search was performed in PubMed and EMBASE from Jan-1980 to Jan-2013. We analysed HIV status, previous TB-treatment, intravenous drug use and alcohol abuse, and multidrug resistant TB. Odd ratio was used as a measure of effect. One and two-stages approaches were used. In the main analysis we used a 2-stages approach to include studies with only aggregate estimates. Among 1996 references, 18 fulfilled inclusion criteria. In TB-affected FBP people positive HIV-status was about 3 times higher than among Italians, after 1996 when combined antiretroviral therapy for HIV was introduced (OR: 2.91; 95% CI: 1.37; 6.17). No association was found between FBP and intravenous drug users in adults; after 1-stage meta-analysis foreign born people from highly endemic countries had a 4 times higher risk to be multidrug resistant TB than Italian people. Finally, TB-affected FBP were less likely than Italians to be alcoholics (OR: 0.10 95% CI: 0.01; 0.84) or of having received previous TB-treatment (OR: 0.55; 95% CI: 0.43; 0.71). An association of multidrug resistant TB with immigrant status as well as an association of Tuberculosis with HIV-positive status in foreign-born people are major findings of this analysis. Drugs and alcohol abuse do not appear to be risk factors for TB in FBP, however they cannot be discharged since may depend on cultural traditions and their role may change in the future along with the migratory waves. An effective control of TB risk factors among migrants is crucial to obtain the goal of TB eradication.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
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Q5 = [];
Q6 = [1]. | abs19162 | 10.1371/journal.pone.0094728 | Risk Factors for Tuberculosis in Foreign-Born People (FBP) in Italy: A Systematic Review and Meta-Analysis | In Italy, TB notifications in foreign-born people (FBP) are steadily increasing. To investigate this issue we did a meta-analysis on risk factors for FBP people. A systematic search was performed in PubMed and EMBASE from Jan-1980 to Jan-2013. We analysed HIV status, previous TB-treatment, intravenous drug use and alcohol abuse, and multidrug resistant TB. Odd ratio was used as a measure of effect. One and two-stages approaches were used. In the main analysis we used a 2-stages approach to include studies with only aggregate estimates. Among 1996 references, 18 fulfilled inclusion criteria. In TB-affected FBP people positive HIV-status was about 3 times higher than among Italians, after 1996 when combined antiretroviral therapy for HIV was introduced (OR: 2.91; 95% CI: 1.37; 6.17). No association was found between FBP and intravenous drug users in adults; after 1-stage meta-analysis foreign born people from highly endemic countries had a 4 times higher risk to be multidrug resistant TB than Italian people. Finally, TB-affected FBP were less likely than Italians to be alcoholics (OR: 0.10 95% CI: 0.01; 0.84) or of having received previous TB-treatment (OR: 0.55; 95% CI: 0.43; 0.71). An association of multidrug resistant TB with immigrant status as well as an association of Tuberculosis with HIV-positive status in foreign-born people are major findings of this analysis. Drugs and alcohol abuse do not appear to be risk factors for TB in FBP, however they cannot be discharged since may depend on cultural traditions and their role may change in the future along with the migratory waves. An effective control of TB risk factors among migrants is crucial to obtain the goal of TB eradication. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"JC virus genotype profile in the Mamanwa, a Philippine Negrito tribe, and implications for its population history."
Abstract:"JC virus (JCV) is ubiquitous in the human population, usually being transmitted from parents to children during cohabitation. JCV genotyping is a useful means of elucidating the origins of various ethnic groups in the world. We used this method to gain insights into the origin of the Mamanwa, a Philippine Negrito tribe in Northeast Mindanao. We found that the Mamanwa carried two major JCV genotypes, B3-b/2E and SC-f/7A. This was in contrast with the JCV genotype profile of modem Filipinos who carry up to five genotypes, with B3-b/2E showing only a low frequency. B3-b/2E is spread throughout Oceania but rare on the Asian continent. In contrast, SC-f/7A is spread throughout Southeast Asia (including neighboring Oceanic islands) but rare in Remote Oceania. The present findings thus suggest that the Mamanwa tribe was formed by early colonization by people carrying B3-b/2E followed by an admixture of more recent immigrants carrying SC-f/7A. As the indigenous tribe (the Chamorro) in the Mariana Islands has essentially the same JCV genotype profile as the Mamanwa, other indigenous tribes in Southeast Asian and Oceanic islands may have a population history analogous to that suggested for the Mamanwa.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [2];
Q4 = [0];
Q5 = [];
Q6 = [1]. | abs04758 | 10.1537/ase.03115 | JC virus genotype profile in the Mamanwa, a Philippine Negrito tribe, and implications for its population history | JC virus (JCV) is ubiquitous in the human population, usually being transmitted from parents to children during cohabitation. JCV genotyping is a useful means of elucidating the origins of various ethnic groups in the world. We used this method to gain insights into the origin of the Mamanwa, a Philippine Negrito tribe in Northeast Mindanao. We found that the Mamanwa carried two major JCV genotypes, B3-b/2E and SC-f/7A. This was in contrast with the JCV genotype profile of modem Filipinos who carry up to five genotypes, with B3-b/2E showing only a low frequency. B3-b/2E is spread throughout Oceania but rare on the Asian continent. In contrast, SC-f/7A is spread throughout Southeast Asia (including neighboring Oceanic islands) but rare in Remote Oceania. The present findings thus suggest that the Mamanwa tribe was formed by early colonization by people carrying B3-b/2E followed by an admixture of more recent immigrants carrying SC-f/7A. As the indigenous tribe (the Chamorro) in the Mariana Islands has essentially the same JCV genotype profile as the Mamanwa, other indigenous tribes in Southeast Asian and Oceanic islands may have a population history analogous to that suggested for the Mamanwa. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Taking the community into the home."
Abstract:"The changing demographics of the population are such that there is an increasing need for care for frail older people with both physical and mental health problems. At the same time, the increased migration of workers and their families means that care provision now has to embrace a range of cultures. The present paper explores how the concept of cultural safety has importance for those planning and providing care for older adults. The recognition that removing individuals with mental health problems from their own environment causes increased disorientation and confusion has led to some organisations trying to maintain the community aspects of life when independent living is no longer possible. The present paper focuses on two such organisations in the Netherlands, demonstrating how they have changed their practice to improve and enhance the quality of life of their clientele through 'taking the community into the home'. Whilst sharing the same goals and aspirations, each organisation, serves a different population, and therefore, has developed a unique approach.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [0]. | abs04751 | 10.1111/j.1365-2524.2004.00514.x | Taking the community into the home | The changing demographics of the population are such that there is an increasing need for care for frail older people with both physical and mental health problems. At the same time, the increased migration of workers and their families means that care provision now has to embrace a range of cultures. The present paper explores how the concept of cultural safety has importance for those planning and providing care for older adults. The recognition that removing individuals with mental health problems from their own environment causes increased disorientation and confusion has led to some organisations trying to maintain the community aspects of life when independent living is no longer possible. The present paper focuses on two such organisations in the Netherlands, demonstrating how they have changed their practice to improve and enhance the quality of life of their clientele through 'taking the community into the home'. Whilst sharing the same goals and aspirations, each organisation, serves a different population, and therefore, has developed a unique approach. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"The future of life expectancy and life expectancy inequalities in England and Wales: Bayesian spatiotemporal forecasting."
Abstract:"Background To plan for pensions and health and social services, future mortality and life expectancy need to be forecast. Consistent forecasts for all subnational units within a country are very rare. Our aim was to forecast mortality and life expectancy for England and Wales' districts. Methods We developed Bayesian spatiotemporal models for forecasting of age-specific mortality and life expectancy at a local, small-area level. The models included components that accounted for mortality in relation to age, birth cohort, time, and space. We used geocoded mortality and population data between 1981 and 2012 from the Office for National Statistics together with the model with the smallest error to forecast age-specific death rates and life expectancy to 2030 for 375 of England and Wales' 376 districts. We measured model performance by withholding recent data and comparing forecasts with this withheld data. Findings Life expectancy at birth in England and Wales was 79.5 years (95% credible interval 79.5-79.6) for men and 83.3 years (83.3-83.4) for women in 2012. District life expectancies ranged between 75.2 years (74.9-75.6) and 83.4 years (82.1-84.8) for men and between 80.2 years (79.8-80.5) and 87.3 years (86.0-88.8) for women. Between 1981 and 2012, life expectancy increased by 8.2 years for men and 6.0 years for women, closing the female-male gap from 6.0 to 3.8 years. National life expectancy in 2030 is expected to reach 85.7 (84.2-87.4) years for men and 87.6 (86.7-88.9) years for women, further reducing the female advantage to 1.9 years. Life expectancy will reach or surpass 81.4 years for men and reach or surpass 84.5 years for women in every district by 2030. Longevity inequality across districts, measured as the difference between the 1st and 99th percentiles of district life expectancies, has risen since 1981, and is forecast to rise steadily to 8.3 years (6.8-9.7) for men and 8.3 years (7.1-9.4) for women by 2030. Interpretation Present forecasts underestimate the expected rise in life expectancy, especially for men, and hence the need to provide improved health and social services and pensions for elderly people in England and Wales. Health and social policies are needed to curb widening life expectancy inequalities, help deprived districts catch up in longevity gains, and avoid a so-called grand divergence in health and longevity.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [1];
Q6 = [0]. | abs03092 | 10.1016/S0140-6736(15)60296-3 | The future of life expectancy and life expectancy inequalities in England and Wales: Bayesian spatiotemporal forecasting | Background To plan for pensions and health and social services, future mortality and life expectancy need to be forecast. Consistent forecasts for all subnational units within a country are very rare. Our aim was to forecast mortality and life expectancy for England and Wales' districts. Methods We developed Bayesian spatiotemporal models for forecasting of age-specific mortality and life expectancy at a local, small-area level. The models included components that accounted for mortality in relation to age, birth cohort, time, and space. We used geocoded mortality and population data between 1981 and 2012 from the Office for National Statistics together with the model with the smallest error to forecast age-specific death rates and life expectancy to 2030 for 375 of England and Wales' 376 districts. We measured model performance by withholding recent data and comparing forecasts with this withheld data. Findings Life expectancy at birth in England and Wales was 79.5 years (95% credible interval 79.5-79.6) for men and 83.3 years (83.3-83.4) for women in 2012. District life expectancies ranged between 75.2 years (74.9-75.6) and 83.4 years (82.1-84.8) for men and between 80.2 years (79.8-80.5) and 87.3 years (86.0-88.8) for women. Between 1981 and 2012, life expectancy increased by 8.2 years for men and 6.0 years for women, closing the female-male gap from 6.0 to 3.8 years. National life expectancy in 2030 is expected to reach 85.7 (84.2-87.4) years for men and 87.6 (86.7-88.9) years for women, further reducing the female advantage to 1.9 years. Life expectancy will reach or surpass 81.4 years for men and reach or surpass 84.5 years for women in every district by 2030. Longevity inequality across districts, measured as the difference between the 1st and 99th percentiles of district life expectancies, has risen since 1981, and is forecast to rise steadily to 8.3 years (6.8-9.7) for men and 8.3 years (7.1-9.4) for women by 2030. Interpretation Present forecasts underestimate the expected rise in life expectancy, especially for men, and hence the need to provide improved health and social services and pensions for elderly people in England and Wales. Health and social policies are needed to curb widening life expectancy inequalities, help deprived districts catch up in longevity gains, and avoid a so-called grand divergence in health and longevity. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Globalization, Social Movements, and Education."
Abstract:"Background/Context: This essay is a part of a special issue that emerges from a year-long faculty seminar at Teachers College, Columbia University. The seminar's purpose has been to examine in fresh terms the nexus of globalization, education, and citizenship. Participants come from diverse fields of research and practice, among them art education, comparative education, curriculum and teaching, language studies, philosophy of education, social studies, and technology. They bring to the table different scholarly frameworks drawn from the social sciences and humanities. They accepted invitations to participate because of their respective research interests, all of which touch on education in a globalized world. They were also intrigued by an all-too-rare opportunity to study in seminar conditions with colleagues from different fields, with whom they might otherwise never interact given the harried conditions of university life today. Participants found the seminar generative in terms of ideas about globalization, education, and citizenship. Participants also appreciated what, for them, became a novel and rich occasion for professional and personal growth. Purpose/Objective: With globalization-a term that signifies the ever-increasing interconnectedness of markets, communications and human migration-social and economic divides in countries around the world are hindering the access of many people to the major institutions of society, including and especially education. My goal in this essay is to reflect on the dilemma that John Dewey identified in Democracy and Education regarding the full social ends of education and the agency of the nation-state. Against the historical background of the nation-state's control of the meaning of public education, my intent is to search for new meanings defining public education through human agency and social movements, using Mexico as an example. My essay, written on the 200th anniversary of Mexico's Independence in 1810 and on the 100th anniversary of the Mexican Revolution, reflects on these two major events and how they contributed to shifts in the social meaning of education over time. Two groups-women and indigenous people-did not benefit proportionately from education, citizenship and social opportunity. My argument is that the empowerment of women and indigenous groups took place not because of state action but because of social movements contesting the restricted identity and incomplete citizenship provided for them through the capacity of the nation-state. It is crucial to understand the full social ends of education to see the way forward in strengthening education, citizenship and social opportunity. Conclusions/Recommendations: My participation in the faculty seminar and the readings we discussed led me towards the rediscovery of the writings of John Dewey, which stimulated my thinking about the full social ends of education against the historical background of the nation-state's control of the meanin."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
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Q6 = [0]. | abs14170 | gen.2011.6683062 | Globalization, Social Movements, and Education | Background/Context: This essay is a part of a special issue that emerges from a year-long faculty seminar at Teachers College, Columbia University. The seminar's purpose has been to examine in fresh terms the nexus of globalization, education, and citizenship. Participants come from diverse fields of research and practice, among them art education, comparative education, curriculum and teaching, language studies, philosophy of education, social studies, and technology. They bring to the table different scholarly frameworks drawn from the social sciences and humanities. They accepted invitations to participate because of their respective research interests, all of which touch on education in a globalized world. They were also intrigued by an all-too-rare opportunity to study in seminar conditions with colleagues from different fields, with whom they might otherwise never interact given the harried conditions of university life today. Participants found the seminar generative in terms of ideas about globalization, education, and citizenship. Participants also appreciated what, for them, became a novel and rich occasion for professional and personal growth. Purpose/Objective: With globalization-a term that signifies the ever-increasing interconnectedness of markets, communications and human migration-social and economic divides in countries around the world are hindering the access of many people to the major institutions of society, including and especially education. My goal in this essay is to reflect on the dilemma that John Dewey identified in Democracy and Education regarding the full social ends of education and the agency of the nation-state. Against the historical background of the nation-state's control of the meaning of public education, my intent is to search for new meanings defining public education through human agency and social movements, using Mexico as an example. My essay, written on the 200th anniversary of Mexico's Independence in 1810 and on the 100th anniversary of the Mexican Revolution, reflects on these two major events and how they contributed to shifts in the social meaning of education over time. Two groups-women and indigenous people-did not benefit proportionately from education, citizenship and social opportunity. My argument is that the empowerment of women and indigenous groups took place not because of state action but because of social movements contesting the restricted identity and incomplete citizenship provided for them through the capacity of the nation-state. It is crucial to understand the full social ends of education to see the way forward in strengthening education, citizenship and social opportunity. Conclusions/Recommendations: My participation in the faculty seminar and the readings we discussed led me towards the rediscovery of the writings of John Dewey, which stimulated my thinking about the full social ends of education against the historical background of the nation-state's control of the meaning of public education and my own inquiry to search for new meanings of public education through human agency and social movements. Moreover, the writings of Dewey during his visit to Mexico in 1926 opened a new research agenda for me. I have become increasingly interested in a period of Mexican education that is not well researched, particularly the role of John Dewey's students at Teachers College, Columbia University in the development of Mexico's public education system during the 1920s and 1930s and the creation of the Mexican rural schools and the middle schools during that era. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Domicile citizenship, human mobility and territoriality."
Abstract:"Formal citizenship often excludes migrants who were not born in the national territory in which they reside and/or were born to parents of foreign nationality. In this article, I explore how the domicile principle of citizenship can better accommodate migrants. Although this principle has a long history, it has only recently received significant attention among scholars. I examine the tensions between formal citizenship, mobility and territoriality, while developing a practical argument in support of domicile as an alternative configuration of territorial formal citizenship. Moreover, I highlight the capacity of domicile to include migrants at local and urban scales.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [0];
Q3 = [2];
Q4 = [0];
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Q6 = [0]. | abs10242 | 10.1177/0309132513502281 | Domicile citizenship, human mobility and territoriality | Formal citizenship often excludes migrants who were not born in the national territory in which they reside and/or were born to parents of foreign nationality. In this article, I explore how the domicile principle of citizenship can better accommodate migrants. Although this principle has a long history, it has only recently received significant attention among scholars. I examine the tensions between formal citizenship, mobility and territoriality, while developing a practical argument in support of domicile as an alternative configuration of territorial formal citizenship. Moreover, I highlight the capacity of domicile to include migrants at local and urban scales. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"ANALYSIS OF THE CURRENT STATE AND MAIN TRENDS IN THE REAL ESTATE MARKET OF UKRAINE."
Abstract:"The subject of the study is the processes of the current state and the main trends in the real estate market of Ukraine. Methodology. The research was conducted using general scientific methods, in particular: theoretical generalization, methods of positive and normative analysis, statistical analysis. The goal is to analyze the processes of the current state and the main trends in the real estate market of Ukraine. Research conclusion. The main trends in the real estate market of Ukraine are highlighted. The legal features ensuring the real estate industry are determined: restrictions and simplifications concerning the functioning of the real estate market. Trends in the formation of real estate prices on the primary and secondary market are highlighted. The structure of the primary and secondary market by types of real estate planning and by types of housing was analyzed. It is emphasized that the buyers, as before the war, need compact quarters or mixed type of buildings of different floors, in which, in addition to housing, all necessary infrastructure is provided (grocery stores, cafes, pharmacies, schools, kindergartens, playgrounds, recreation areas, offices, etc.). However, due to the war, specific requirements are added to the standard ones, such as the safety of the complex, for example, the presence of underground parking adapted for bomb shelters, etc. The price of apartments has already increased, especially in hryvnia equivalent. The average price per square meter is higher than in February, 2022. The growth trend will continue in the post-war period. After all, the price is directly affected by the buying mood of customers, the weakening of the hryvnia against the dollar, the pace of construction recovery, and the remoteness of the region from hostilities. Taking into account the rising cost of construction materials and complicated logistics, the price per square meter for new construction projects will increase significantly. In addition, new players are entering the real estate market, such as temporarily displaced persons who have adapted and plan to stay, workers who have moved due to company relocations, and investors who have decided to protect their investments. The significant slowdown in the pace of construction, the lack of new facilities, despite weak demand, will lead to a certain shortage of high quality residential projects and, consequently, a shortage of comfortable and liquid residential properties on the market. Ukraine expects a decrease in the purchasing power of the population and, accordingly, a decrease in the opportunities to purchase real estate. The way to avoid these complications is the intervention of the state and local self-government bodies, for example, communal housing, which will belong to the community, can be rented on a long-term basis to vulnerable sections of the population, immigrants and those groups of people who need it but cannot afford to buy it.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
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Q6 = [1]. | abs18927 | 10.30525/2256-0742/2022-8-5-49-57 | ANALYSIS OF THE CURRENT STATE AND MAIN TRENDS IN THE REAL ESTATE MARKET OF UKRAINE | The subject of the study is the processes of the current state and the main trends in the real estate market of Ukraine. Methodology. The research was conducted using general scientific methods, in particular: theoretical generalization, methods of positive and normative analysis, statistical analysis. The goal is to analyze the processes of the current state and the main trends in the real estate market of Ukraine. Research conclusion. The main trends in the real estate market of Ukraine are highlighted. The legal features ensuring the real estate industry are determined: restrictions and simplifications concerning the functioning of the real estate market. Trends in the formation of real estate prices on the primary and secondary market are highlighted. The structure of the primary and secondary market by types of real estate planning and by types of housing was analyzed. It is emphasized that the buyers, as before the war, need compact quarters or mixed type of buildings of different floors, in which, in addition to housing, all necessary infrastructure is provided (grocery stores, cafes, pharmacies, schools, kindergartens, playgrounds, recreation areas, offices, etc.). However, due to the war, specific requirements are added to the standard ones, such as the safety of the complex, for example, the presence of underground parking adapted for bomb shelters, etc. The price of apartments has already increased, especially in hryvnia equivalent. The average price per square meter is higher than in February, 2022. The growth trend will continue in the post-war period. After all, the price is directly affected by the buying mood of customers, the weakening of the hryvnia against the dollar, the pace of construction recovery, and the remoteness of the region from hostilities. Taking into account the rising cost of construction materials and complicated logistics, the price per square meter for new construction projects will increase significantly. In addition, new players are entering the real estate market, such as temporarily displaced persons who have adapted and plan to stay, workers who have moved due to company relocations, and investors who have decided to protect their investments. The significant slowdown in the pace of construction, the lack of new facilities, despite weak demand, will lead to a certain shortage of high quality residential projects and, consequently, a shortage of comfortable and liquid residential properties on the market. Ukraine expects a decrease in the purchasing power of the population and, accordingly, a decrease in the opportunities to purchase real estate. The way to avoid these complications is the intervention of the state and local self-government bodies, for example, communal housing, which will belong to the community, can be rented on a long-term basis to vulnerable sections of the population, immigrants and those groups of people who need it but cannot afford to buy it. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"For a Younger Crowd: Place, Belonging, and Exclusion among Older Adults Facing Neighborhood Change."
Abstract:"Cities are gentrifying, yet we know little about the experience of older adults aging in gentrifying areas. Most research has focused on a shortage of affordable housing and threat of eviction for low-income residents but has paid less attention to age. This trend neglects a fuller understanding of place's heightened significance for older people and how commercial gentrification threatens their possibilities to connect in non-institutional, intergenerational spaces. Drawing on five years of ethnographic fieldwork among older adults in a gentrified New York City neighborhood, this paper examines the significance of third places for longtime residents. I find that features of establishments such as proximity (distance from study participants' residences), cost, physical design and layout, and surveillance shaped how different neighborhood places facilitated face-to-face interaction and a sense of ownership that supported participants' independence as they aged in place. This paper contributes to limited scholarly knowledge about older people's experiences of gentrification and neighborhood change, an understudied area of growing concern as population aging converges with the increasing desirability and cost of living in urban areas.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
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Q6 = [0]. | abs01693 | 10.1007/s11133-019-09441-z | For a Younger Crowd: Place, Belonging, and Exclusion among Older Adults Facing Neighborhood Change | Cities are gentrifying, yet we know little about the experience of older adults aging in gentrifying areas. Most research has focused on a shortage of affordable housing and threat of eviction for low-income residents but has paid less attention to age. This trend neglects a fuller understanding of place's heightened significance for older people and how commercial gentrification threatens their possibilities to connect in non-institutional, intergenerational spaces. Drawing on five years of ethnographic fieldwork among older adults in a gentrified New York City neighborhood, this paper examines the significance of third places for longtime residents. I find that features of establishments such as proximity (distance from study participants' residences), cost, physical design and layout, and surveillance shaped how different neighborhood places facilitated face-to-face interaction and a sense of ownership that supported participants' independence as they aged in place. This paper contributes to limited scholarly knowledge about older people's experiences of gentrification and neighborhood change, an understudied area of growing concern as population aging converges with the increasing desirability and cost of living in urban areas. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Strategies of Invisibilization: How Ethiopias Resettlement Programme Hides the Poorest of the Poor."
Abstract:"This paper examines the process by which the poorest of the poor in Ethiopias food insecure regions are made invisible through their very participation in a programme whose explicit aim is to help deliver them from vulnerability. Those targeted for support progressively lose their status and agency as people of concern to governmental welfare bodies as well as international humanitarian organizations as they are resettled in a scheme that renders many people more needy than they were before they left their areas of origin. Inadequate planning and resourcing of resettlement on a massive scale and rushed timeframe, blocking of NGO and other independent monitors access, and careful control at the federal level over information relating to conditions in settlement areas makes it possible for this space of invisibility to be created, into which an estimated one million people have already been moved since 2003. Invisibilization occurs through coinciding processes of forced recruitment and displacement as well as false and misleading representations of the resettlement programme, but also through a limited degree of voluntary engagement that enables government and international agencies to brand the operation voluntaryhence less a matter of concernand thus to look away from a population that is far from self-sufficient. Based on fieldwork conducted in 2003 and 2004 in sending and receiving sites, I argue that invisibility is a function of governmentality in Ethiopia that has enabled inaction on the part of a wide range of stakeholders.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5,6,7];
Q3 = [1];
Q4 = [];
Q5 = [1];
Q6 = [0]. | abs20748 | 10.1093/jrs/fen041 | Strategies of Invisibilization: How Ethiopias Resettlement Programme Hides the Poorest of the Poor | This paper examines the process by which the poorest of the poor in Ethiopias food insecure regions are made invisible through their very participation in a programme whose explicit aim is to help deliver them from vulnerability. Those targeted for support progressively lose their status and agency as people of concern to governmental welfare bodies as well as international humanitarian organizations as they are resettled in a scheme that renders many people more needy than they were before they left their areas of origin. Inadequate planning and resourcing of resettlement on a massive scale and rushed timeframe, blocking of NGO and other independent monitors access, and careful control at the federal level over information relating to conditions in settlement areas makes it possible for this space of invisibility to be created, into which an estimated one million people have already been moved since 2003. Invisibilization occurs through coinciding processes of forced recruitment and displacement as well as false and misleading representations of the resettlement programme, but also through a limited degree of voluntary engagement that enables government and international agencies to brand the operation voluntaryhence less a matter of concernand thus to look away from a population that is far from self-sufficient. Based on fieldwork conducted in 2003 and 2004 in sending and receiving sites, I argue that invisibility is a function of governmentality in Ethiopia that has enabled inaction on the part of a wide range of stakeholders. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Committed to the Ministry of Reconciliation: Moving Beyond Conflict in the Balkans."
Abstract:"When Arville and Sheila Earl moved to Macedonia in 1998, they did not expect to become involved in a ministry of reconciliation. But when refugees from Kosovo began pouring into Macedonia as tensions in the neighboring Serbian province of Kosovo exploded into a major crisis, the Earls were ushered into a new arena of life and relationship that they say has forever changed the course of their ministries. In this article, the Earls give a brief history of how they began their reconciliation ministry and recount their progress to date. They also include their philosophy of reconciliation as well as stories of people whose lives have been touched by the ministry.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5,6];
Q3 = [2];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs16671 | 10.1177/003463730710400309 | Committed to the Ministry of Reconciliation: Moving Beyond Conflict in the Balkans | When Arville and Sheila Earl moved to Macedonia in 1998, they did not expect to become involved in a ministry of reconciliation. But when refugees from Kosovo began pouring into Macedonia as tensions in the neighboring Serbian province of Kosovo exploded into a major crisis, the Earls were ushered into a new arena of life and relationship that they say has forever changed the course of their ministries. In this article, the Earls give a brief history of how they began their reconciliation ministry and recount their progress to date. They also include their philosophy of reconciliation as well as stories of people whose lives have been touched by the ministry. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Revisiting the Effects of Case Reports in the News."
Abstract:"Synthesizing several theories about the likely impact of case reports in the news, we propose that the impact of featuring identified victims in a news story is contingent on the degree of similarity between the audience member and the identified victims. We execute a population-based survey experiment involving immigration policy to examine our theory. Our results suggest that featuring specific, identified victims in a news story will promote more supportive policy opinions than otherwise identical stories about unidentified victims, but only when the victim is highly similar to the audience member. Conversely, case reports featuring identified people who are dissimilar to the audience member will decrease the extent to which the story encourages victim-supportive policy attitudes. Overall, our experimental findings shed light on the conditions under which the inclusion of case reports increases versus decreases the policy relevance of news stories. Our findings also help explain previous inconsistencies in findings about the impact of case reports. Additional analyses allow us to speculate as to the reasons for the differential direction of effects.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [0];
Q3 = [0];
Q4 = [0];
Q5 = [];
Q6 = [1]. | abs03467 | 10.1080/10584609.2013.799106 | Revisiting the Effects of Case Reports in the News | Synthesizing several theories about the likely impact of case reports in the news, we propose that the impact of featuring identified victims in a news story is contingent on the degree of similarity between the audience member and the identified victims. We execute a population-based survey experiment involving immigration policy to examine our theory. Our results suggest that featuring specific, identified victims in a news story will promote more supportive policy opinions than otherwise identical stories about unidentified victims, but only when the victim is highly similar to the audience member. Conversely, case reports featuring identified people who are dissimilar to the audience member will decrease the extent to which the story encourages victim-supportive policy attitudes. Overall, our experimental findings shed light on the conditions under which the inclusion of case reports increases versus decreases the policy relevance of news stories. Our findings also help explain previous inconsistencies in findings about the impact of case reports. Additional analyses allow us to speculate as to the reasons for the differential direction of effects. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Testing the Feasibility of Delivering and Evaluating a Child Mental Health Recovery Program Enhanced With Additional Parenting Sessions for Families Displaced by the Syrian Conflict: A Pilot Study."
Abstract:"Children who live through armed conflict and displacement are at increased risk of mental health difficulties, including posttraumatic stress (PTS). Parental support and monitoring are significant potentially modifiable factors amenable to preventive intervention. Children's resilience can be increased by assisting parents and caregivers in supporting children. This study investigated the feasibility of delivering and evaluating an adapted version of the teaching recovery techniques (TRT) intervention, an established, evidence-based mental health recovery program for children, in a displacement setting resulting from the Syrian conflict. Three parent skills sessions were added to the original TRT intervention to form a brief, 5-week child plus parenting program (TRT + Parenting). Feasibility to recruit and train nonspecialist staff on the ground to screen families for eligibility, collect outcome data and deliver the intervention, and to recruit and retain families in the intervention and study were examined. Fourteen Syrian refugee families residing in a border town in Turkey took part in the study. Research staff and intervention facilitators were successfully appointed in the field, screened participants, and delivered the intervention, collecting outcome measures pre- and postdelivery. Supervision was provided via Skype and Whatsapp from the Unite Kingdom. All families completed the outcome measures, with very little missing data, and all of the intervention sessions, except for one family who moved to another location. This indicated that TRT + Parenting can be delivered feasibly and evaluated with displaced families in this humanitarian context. Preliminary outcome data showed promise that TRT + Parenting may have the potential to both reduce children's PTS and increase caregivers' parenting self-efficacy and use of effective strategies. Implications and future directions of the research are discussed. Public Significance Statement Millions of children worldwide are at risk of mental health problems due to armed conflict. Accessible, low cost ways of providing appropriate support at scale represent an urgent and unmet need for children affected by war. Parental support and monitoring are strong and modifiable predictors of children's psychological well-being in conflict and displacement settings. The provision of support to parents and caregivers has the potential to increase children's resilience and promote positive developmental trajectories and long-term health. This study demonstrated the feasibility of delivering and evaluating an established child mental health recovery program, enhanced with additional parent skills sessions, with children and their caregivers displaced by the Syrian conflict.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,7];
Q3 = [2];
Q4 = [0];
Q5 = [];
Q6 = [1]. | abs13060 | 10.1037/pac0000287 | Testing the Feasibility of Delivering and Evaluating a Child Mental Health Recovery Program Enhanced With Additional Parenting Sessions for Families Displaced by the Syrian Conflict: A Pilot Study | Children who live through armed conflict and displacement are at increased risk of mental health difficulties, including posttraumatic stress (PTS). Parental support and monitoring are significant potentially modifiable factors amenable to preventive intervention. Children's resilience can be increased by assisting parents and caregivers in supporting children. This study investigated the feasibility of delivering and evaluating an adapted version of the teaching recovery techniques (TRT) intervention, an established, evidence-based mental health recovery program for children, in a displacement setting resulting from the Syrian conflict. Three parent skills sessions were added to the original TRT intervention to form a brief, 5-week child plus parenting program (TRT + Parenting). Feasibility to recruit and train nonspecialist staff on the ground to screen families for eligibility, collect outcome data and deliver the intervention, and to recruit and retain families in the intervention and study were examined. Fourteen Syrian refugee families residing in a border town in Turkey took part in the study. Research staff and intervention facilitators were successfully appointed in the field, screened participants, and delivered the intervention, collecting outcome measures pre- and postdelivery. Supervision was provided via Skype and Whatsapp from the Unite Kingdom. All families completed the outcome measures, with very little missing data, and all of the intervention sessions, except for one family who moved to another location. This indicated that TRT + Parenting can be delivered feasibly and evaluated with displaced families in this humanitarian context. Preliminary outcome data showed promise that TRT + Parenting may have the potential to both reduce children's PTS and increase caregivers' parenting self-efficacy and use of effective strategies. Implications and future directions of the research are discussed. Public Significance Statement Millions of children worldwide are at risk of mental health problems due to armed conflict. Accessible, low cost ways of providing appropriate support at scale represent an urgent and unmet need for children affected by war. Parental support and monitoring are strong and modifiable predictors of children's psychological well-being in conflict and displacement settings. The provision of support to parents and caregivers has the potential to increase children's resilience and promote positive developmental trajectories and long-term health. This study demonstrated the feasibility of delivering and evaluating an established child mental health recovery program, enhanced with additional parent skills sessions, with children and their caregivers displaced by the Syrian conflict. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Labour market participation of Sub-Saharan Africans in the Netherlands: the limits of the human capital approach."
Abstract:"This paper focuses on the labour disparities between Sub-Saharan African immigrants in the Netherlands, a hitherto undescribed ethnic group, and the native Dutch population. Using unique data with nationwide coverage, the analysis reveals that the labour market position of Sub-Saharan Africans displays an exceptionally large disparity with the native Dutch, compared with discrepancies found in previous research on other immigrant groups. The outcomes also show great differences across the Sub-Saharan groups with Cape Verdeans and South Africans deviating the least from the native Dutch, Ghanaians occupying an intermediate position, while people from Somalia, Eritrea, Congo, Sudan and Sierra Leone are in the worst position. Most importantly, we found that the conventional human capital model does not account for much of the disparity between Sub-Saharan Africans and the native Dutch, even when the model is expanded with language proficiency as an additional variable. Considering these findings, we suggest that alternative explanations, such as society of origin, the operation of norm images and ethnic concentration in specific sectors impeding mobilities should be researched further.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [3,6];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs01875 | 10.1080/1369183X.2018.1497956 | Labour market participation of Sub-Saharan Africans in the Netherlands: the limits of the human capital approach | This paper focuses on the labour disparities between Sub-Saharan African immigrants in the Netherlands, a hitherto undescribed ethnic group, and the native Dutch population. Using unique data with nationwide coverage, the analysis reveals that the labour market position of Sub-Saharan Africans displays an exceptionally large disparity with the native Dutch, compared with discrepancies found in previous research on other immigrant groups. The outcomes also show great differences across the Sub-Saharan groups with Cape Verdeans and South Africans deviating the least from the native Dutch, Ghanaians occupying an intermediate position, while people from Somalia, Eritrea, Congo, Sudan and Sierra Leone are in the worst position. Most importantly, we found that the conventional human capital model does not account for much of the disparity between Sub-Saharan Africans and the native Dutch, even when the model is expanded with language proficiency as an additional variable. Considering these findings, we suggest that alternative explanations, such as society of origin, the operation of norm images and ethnic concentration in specific sectors impeding mobilities should be researched further. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Is Human Capital Ready for Change? A Strategic Approach Adapting Porter's Five Forces to Human Resources."
Abstract:"This article argues for adapting Porter's Five Forces Model to strategic human resources management. The world business environment is facing real challenges: Shortage of talents, ageing of the world population, and disappearance of repetitive jobs. For a sustainable approach, the quality and stability of human capital should be analyzed strategically, based on the influence of five forces which act in the market: Competition in the industrial sector between specialists with core competencies (rivalry), demands of the hiring companies in terms of the number of employees and updated skills (organizations as buyers), recruitment companies and schools (suppliers), effects of globalization on people's migration (new entrants), and modern technologies and innovation (substitutes). The stronger the forces are, the harder it will be for the organization to select or retain valuable employees who will add value to products/services. Actual and future employees should analyze the intensity of these forces when they plan to prepare for jobs or change their career. This analysis was focused mainly on the manufacturing sector, where jobs based on repetitive or dangerous tasks may disappear in time.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [1];
Q6 = [0]. | abs01663 | 10.3390/su12062300 | Is Human Capital Ready for Change? A Strategic Approach Adapting Porter's Five Forces to Human Resources | This article argues for adapting Porter's Five Forces Model to strategic human resources management. The world business environment is facing real challenges: Shortage of talents, ageing of the world population, and disappearance of repetitive jobs. For a sustainable approach, the quality and stability of human capital should be analyzed strategically, based on the influence of five forces which act in the market: Competition in the industrial sector between specialists with core competencies (rivalry), demands of the hiring companies in terms of the number of employees and updated skills (organizations as buyers), recruitment companies and schools (suppliers), effects of globalization on people's migration (new entrants), and modern technologies and innovation (substitutes). The stronger the forces are, the harder it will be for the organization to select or retain valuable employees who will add value to products/services. Actual and future employees should analyze the intensity of these forces when they plan to prepare for jobs or change their career. This analysis was focused mainly on the manufacturing sector, where jobs based on repetitive or dangerous tasks may disappear in time. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Comprehensive mental health and psychosocial support case management and indicative care pathways within humanitarian settings."
Abstract:"This article describes the approach, implementation and evaluation of a pilot mental health and psychosocial support case management programme that was developed by the United Nations High Commissioner for Refugees in Syria. The aim was to provide a description of the programme approach, its implementation and outputs. The programme integrates different forms of case management approaches based on a multi-layered, stepped care model. Earlier results of mixed method monitoring and evaluation revealed improvement in wellbeing among programme participants. The step-wise approach indicates, in addition to the positive mental health outcome results, a functional case management system.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [1]. | abs14731 | 10.1097/WTF.0000000000000115 | Comprehensive mental health and psychosocial support case management and indicative care pathways within humanitarian settings | This article describes the approach, implementation and evaluation of a pilot mental health and psychosocial support case management programme that was developed by the United Nations High Commissioner for Refugees in Syria. The aim was to provide a description of the programme approach, its implementation and outputs. The programme integrates different forms of case management approaches based on a multi-layered, stepped care model. Earlier results of mixed method monitoring and evaluation revealed improvement in wellbeing among programme participants. The step-wise approach indicates, in addition to the positive mental health outcome results, a functional case management system. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Restricted usage of anonymous credentials in vehicular ad hoc networks for misbehavior detection."
Abstract:"The automobile industry is entering a new era of digitalization with major impact on human mobility and transportation infrastructures. A result of such a convergence between the automobile and information technologies is vehicular ad hoc network (VANET), a type of mobile ad hoc networks that has recently enjoyed a lot of attention from the industry, the research community, lawmakers and privacy activists. In VANET, vehicles frequently broadcast various types of messages, including location data. This enables innovative applications and improvements in safety and driving experience. As messages broadcasted in the VANET are digitally signed and the receiver must be able to verify the sender's authentication and message integrity, there is a need to ensure broadcast authentication and protect driver's anonymity. However, communication in VANETs takes place with high frequency, and malicious vehicles can hide behind anonymity in order to duplicate packets and get advantage over other vehicles in the network. Indeed, state-of-the-art approaches to privacy-preserving messages broadcast in the VANET typically ensure that each vehicle has a number of pseudonymous certificates that are changed regularly in order to thwart an automated tracing of its activities. However, the possibility of uncontrolled simultaneous use of pseudonyms by misbehaving vehicles remain unaddressed. This paper proposes a set of anonymous credential system based protocols for VANET that enables the detection and limitation of pseudonym/credential overspending. The revocation of the misbehaving vehicle can be also achieved through the proposed solutions. With the prototypical implementation of the proposed protocols, it has been shown that the successful detection of fraud, i.e., pseudonyms overspending and the subsequent revocation of credentials are possible in VANET.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [1]. | abs17110 | 10.1007/s10207-016-0328-y | Restricted usage of anonymous credentials in vehicular ad hoc networks for misbehavior detection | The automobile industry is entering a new era of digitalization with major impact on human mobility and transportation infrastructures. A result of such a convergence between the automobile and information technologies is vehicular ad hoc network (VANET), a type of mobile ad hoc networks that has recently enjoyed a lot of attention from the industry, the research community, lawmakers and privacy activists. In VANET, vehicles frequently broadcast various types of messages, including location data. This enables innovative applications and improvements in safety and driving experience. As messages broadcasted in the VANET are digitally signed and the receiver must be able to verify the sender's authentication and message integrity, there is a need to ensure broadcast authentication and protect driver's anonymity. However, communication in VANETs takes place with high frequency, and malicious vehicles can hide behind anonymity in order to duplicate packets and get advantage over other vehicles in the network. Indeed, state-of-the-art approaches to privacy-preserving messages broadcast in the VANET typically ensure that each vehicle has a number of pseudonymous certificates that are changed regularly in order to thwart an automated tracing of its activities. However, the possibility of uncontrolled simultaneous use of pseudonyms by misbehaving vehicles remain unaddressed. This paper proposes a set of anonymous credential system based protocols for VANET that enables the detection and limitation of pseudonym/credential overspending. The revocation of the misbehaving vehicle can be also achieved through the proposed solutions. With the prototypical implementation of the proposed protocols, it has been shown that the successful detection of fraud, i.e., pseudonyms overspending and the subsequent revocation of credentials are possible in VANET. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"The Impact of COVID-19 on Homeless Service Providers and Homeless People: The Migrant Perspective."
Abstract:"Restrictive immigration rules, lack of access to housing and to the labor market, discrimination, or inability to access public funding contribute to exclusion of migrants in the European Union and push individuals into destitution. Migrants are often highly represented in the numbers of rough sleepers in the big cities of Europe. Recent evidence shows that asylum seekers and refugees are also overrepresented in the homelessness sector in member states across the European Union (EU). Homeless service providers are often the only possibility for migrants to access basic support and counseling on their rights and alternatives in the EU. The COVID-19 pandemic has aggravated the vulnerable living conditions of migrants across Europe and has affected the service providers working to support homeless migrants. At the same time, the pandemic proved to be an opportunity for governments and organizations to change the way they shaped policies and the manner in which they approached homelessness. In this article, the authors investigate how the pandemic affected migrants experiencing homelessness in the EU. Further to this, we analyze the measures adopted by EU member states where members of the European Federation of National Organisations Working with the Homeless are active; we identify innovative practices in supporting homeless migrants as well as challenges that should be addressed to ensure that human rights are respected for all. Based on data collected from July to September 2020, the authors formulate recommendations for improving European policies and for EU member states to implement measures to protect migrants throughout the COVID-19 pandemic, ensuring unconditional access to safe and adequate housing.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [3,4,5,6];
Q3 = [];
Q4 = [];
Q5 = [1];
Q6 = [1]. | abs05880 | gen.2021.65895199 | The Impact of COVID-19 on Homeless Service Providers and Homeless People: The Migrant Perspective | Restrictive immigration rules, lack of access to housing and to the labor market, discrimination, or inability to access public funding contribute to exclusion of migrants in the European Union and push individuals into destitution. Migrants are often highly represented in the numbers of rough sleepers in the big cities of Europe. Recent evidence shows that asylum seekers and refugees are also overrepresented in the homelessness sector in member states across the European Union (EU). Homeless service providers are often the only possibility for migrants to access basic support and counseling on their rights and alternatives in the EU. The COVID-19 pandemic has aggravated the vulnerable living conditions of migrants across Europe and has affected the service providers working to support homeless migrants. At the same time, the pandemic proved to be an opportunity for governments and organizations to change the way they shaped policies and the manner in which they approached homelessness. In this article, the authors investigate how the pandemic affected migrants experiencing homelessness in the EU. Further to this, we analyze the measures adopted by EU member states where members of the European Federation of National Organisations Working with the Homeless are active; we identify innovative practices in supporting homeless migrants as well as challenges that should be addressed to ensure that human rights are respected for all. Based on data collected from July to September 2020, the authors formulate recommendations for improving European policies and for EU member states to implement measures to protect migrants throughout the COVID-19 pandemic, ensuring unconditional access to safe and adequate housing. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"'Everyday Bordering' in England, Sweden and Bulgaria: Social Work Decision-Making Processes When Working with Migrant Family Members."
Abstract:"The global movement of people is a growing feature of contemporary life, and it is essential that professionals providing support services know how to best engage with migrant families. However, despite globalisation and the related processes of de-bordering, borders continue to remain significant and, in contemporary life, the ways in which immigration is controlled and surveilled-bureaucratically and symbolically-are multiple. The paper draws on data gathered in the immediate period following the so called 2015 European 'migration crisis' and examines whether and in what ways social workers in three European countries-Bulgaria, Sweden and England-enact bordering in their work with migrant family members. We apply the concept of 'everyday bordering' to the data set: whilst borders are traditionally physical and at the boundary between nation states, bordering practices increasingly permeate everyday life in bureaucratic and symbolic forms. Overall, the data show that everyday bordering affects social work practice in three ways: by social workers being required to engage in bordering as an everyday practice; by producing conditions that require social workers to negotiate borders; and in revealing aspects of symbolic everyday bordering. Our analyses shows that 'everyday bordering' practices are present in social work decision-making processes in each country, but the forms they take vary across contexts. Analysis also indicates that, in each country, social workers recognise the ways in which immigration control can impact on the families with whom they work but that they can also inadvertently contribute to the 'othering' of migrant populations.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [1];
Q4 = [0];
Q5 = [1];
Q6 = [0]. | abs18766 | 10.1007/s12134-021-00838-w | 'Everyday Bordering' in England, Sweden and Bulgaria: Social Work Decision-Making Processes When Working with Migrant Family Members | The global movement of people is a growing feature of contemporary life, and it is essential that professionals providing support services know how to best engage with migrant families. However, despite globalisation and the related processes of de-bordering, borders continue to remain significant and, in contemporary life, the ways in which immigration is controlled and surveilled-bureaucratically and symbolically-are multiple. The paper draws on data gathered in the immediate period following the so called 2015 European 'migration crisis' and examines whether and in what ways social workers in three European countries-Bulgaria, Sweden and England-enact bordering in their work with migrant family members. We apply the concept of 'everyday bordering' to the data set: whilst borders are traditionally physical and at the boundary between nation states, bordering practices increasingly permeate everyday life in bureaucratic and symbolic forms. Overall, the data show that everyday bordering affects social work practice in three ways: by social workers being required to engage in bordering as an everyday practice; by producing conditions that require social workers to negotiate borders; and in revealing aspects of symbolic everyday bordering. Our analyses shows that 'everyday bordering' practices are present in social work decision-making processes in each country, but the forms they take vary across contexts. Analysis also indicates that, in each country, social workers recognise the ways in which immigration control can impact on the families with whom they work but that they can also inadvertently contribute to the 'othering' of migrant populations. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"The Magnus Effect Behind the Transition to Higher Education in Turkiye: Uncovering Equity Issues."
Abstract:"We analyzed the links between access to higher education, exams, and equity in education in Turkiye. Next, we made numerous recommendations and referred to a phenomenon: The Magnus Effect to delve into the problems of the relevant processes. After conducting a review of the literature, we came up with four core sources that produce equity issues: tracking, stratification, socioeconomic status, and the qualifying elimination system. One of the ironies was that access to higher education institutions is enabled via high-stakes national exams, which seem to legitimize the process while leading to countless more inequities.A total stranger might not easily comprehend the significance of an assemblage of diverse individuals from all walks of life patiently waiting, though anxious, and holding their breath on a warm day in June at schools all over Turkiye. These crowds comprise parents, grandparents, siblings, officers, and a fair number of other immediate stakeholders in a lifetime experience: the national university entrance exam (Transition to High School Exam, THE). As a matter of fact, they are the ones accompanying candidates taking the exam. The authors of this paper all went through these extremely tough times with their families as well so that they also could be deemed appropriate to go into a higher education institution, to continue to work hard, and to graduate with a diploma, which may or may not warrant their employment. In fact, one the authors, who is female, might be feeling relatively luckier (if not privileged)-bearing in mind her parents are both academics-as she became a faculty member, unlike other women who struggle with the risk of dropping out of school, early marriage, and/or child labor despite all the ongoing effort to mitigate these problems in 21st century Turkiye.This is a clear picture of Turkiye on the days of these high-stakes examinations. To this end, this paper attempts to address the total stranger mentioned above with a view to depicting, questioning, and criticizing the existing-and at times surprising-situation in Turkiye, a developing country that has millions of refugee students, together with a highly heterogeneous profile of learners and teachers. The country was recently identified by the Organization for Economic Cooperation and Development (OECD) as having an extremely high number of young people who are not employed, educated, or trained (NEET). As such, it would be fair to state that our initiative as Turkish researchers can help outsiders-for instance living in the Global North-to reconsider the case with their own countries, make comparisons, and hopefully become more knowledgeable and prepared for cross-national cooperation and collaboration to maintain an equitable mindset and related practicum for education matters around the world.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [0]. | abs08564 | gen.2023.85292992 | The Magnus Effect Behind the Transition to Higher Education in Turkiye: Uncovering Equity Issues | We analyzed the links between access to higher education, exams, and equity in education in Turkiye. Next, we made numerous recommendations and referred to a phenomenon: The Magnus Effect to delve into the problems of the relevant processes. After conducting a review of the literature, we came up with four core sources that produce equity issues: tracking, stratification, socioeconomic status, and the qualifying elimination system. One of the ironies was that access to higher education institutions is enabled via high-stakes national exams, which seem to legitimize the process while leading to countless more inequities.A total stranger might not easily comprehend the significance of an assemblage of diverse individuals from all walks of life patiently waiting, though anxious, and holding their breath on a warm day in June at schools all over Turkiye. These crowds comprise parents, grandparents, siblings, officers, and a fair number of other immediate stakeholders in a lifetime experience: the national university entrance exam (Transition to High School Exam, THE). As a matter of fact, they are the ones accompanying candidates taking the exam. The authors of this paper all went through these extremely tough times with their families as well so that they also could be deemed appropriate to go into a higher education institution, to continue to work hard, and to graduate with a diploma, which may or may not warrant their employment. In fact, one the authors, who is female, might be feeling relatively luckier (if not privileged)-bearing in mind her parents are both academics-as she became a faculty member, unlike other women who struggle with the risk of dropping out of school, early marriage, and/or child labor despite all the ongoing effort to mitigate these problems in 21st century Turkiye.This is a clear picture of Turkiye on the days of these high-stakes examinations. To this end, this paper attempts to address the total stranger mentioned above with a view to depicting, questioning, and criticizing the existing-and at times surprising-situation in Turkiye, a developing country that has millions of refugee students, together with a highly heterogeneous profile of learners and teachers. The country was recently identified by the Organization for Economic Cooperation and Development (OECD) as having an extremely high number of young people who are not employed, educated, or trained (NEET). As such, it would be fair to state that our initiative as Turkish researchers can help outsiders-for instance living in the Global North-to reconsider the case with their own countries, make comparisons, and hopefully become more knowledgeable and prepared for cross-national cooperation and collaboration to maintain an equitable mindset and related practicum for education matters around the world. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Rights of Noncitizens Asylum as an Individual Right in the 1949 West German Grundgesetz."
Abstract:"Post-World War II developments concerning citizenship and access as one of the dimensions of citizenship are examined through the prism of noncitizenship and rights, using the drafting of the asylum paragraph of the 1949 Grundgesetz of the Federal Republic of Germany as a specific case study. The aim of this article is to look into the creation of the right to asylum in West Germany, to examine its political history by exploring its development and by searching for its conceptual, political, and rhetorical origins. The article investigates the birth of the unique conceptualization of asylum in the debates of the Parliamentary Council, the constitutional and quasi-parliamentary assembly responsible for the writing of the postwar Basic Law, and examines the political choices, motivations, and compromises behind its creation. To connect the matter of asylum to a wider problematic related to noncitizens and rights, the article benefits from the political philosophy of Hannah Arendt, with reference to her writings on human rights and refugees in the immediate post-World War II period.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [5];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs07543 | 10.3167/choc.2014.090104 | Rights of Noncitizens Asylum as an Individual Right in the 1949 West German Grundgesetz | Post-World War II developments concerning citizenship and access as one of the dimensions of citizenship are examined through the prism of noncitizenship and rights, using the drafting of the asylum paragraph of the 1949 Grundgesetz of the Federal Republic of Germany as a specific case study. The aim of this article is to look into the creation of the right to asylum in West Germany, to examine its political history by exploring its development and by searching for its conceptual, political, and rhetorical origins. The article investigates the birth of the unique conceptualization of asylum in the debates of the Parliamentary Council, the constitutional and quasi-parliamentary assembly responsible for the writing of the postwar Basic Law, and examines the political choices, motivations, and compromises behind its creation. To connect the matter of asylum to a wider problematic related to noncitizens and rights, the article benefits from the political philosophy of Hannah Arendt, with reference to her writings on human rights and refugees in the immediate post-World War II period. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Quantifying long-term evolution of intra-urban spatial interactions."
Abstract:"Understanding the long-term impact that changes in a city's transportation infrastructure have on its spatial interactions remains a challenge. The difficulty arises from the fact that the real impact may not be revealed in static or aggregated mobility measures, as these are remarkably robust to perturbations. More generally, the lack of longitudinal, cross-sectional data demonstrating the evolution of spatial interactions at a meaningful urban scale also hinders us from evaluating the sensitivity of movement indicators, limiting our capacity to understand the evolution of urban mobility in depth. Using very large mobility records distributed over 3 years, we quantify the impact of the completion of a metro line extension: the Circle Line (CCL) in Singapore. We find that the commonly used movement indicators are almost identical before and after the project was completed. However, in comparing the temporal community structure across years, we do observe significant differences in the spatial reorganization of the affected geographical areas. The completion of CCL enables travellers to re-identify their desired destinations collectively with lower transport cost, making the community structure more consistent. These changes in locality are dynamic and characterized over short timescales, offering us a different approach to identify and analyse the long-term impact of new infrastructures on cities and their evolution dynamics.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [1]. | abs14449 | 10.1098/rsif.2014.1089 | Quantifying long-term evolution of intra-urban spatial interactions | Understanding the long-term impact that changes in a city's transportation infrastructure have on its spatial interactions remains a challenge. The difficulty arises from the fact that the real impact may not be revealed in static or aggregated mobility measures, as these are remarkably robust to perturbations. More generally, the lack of longitudinal, cross-sectional data demonstrating the evolution of spatial interactions at a meaningful urban scale also hinders us from evaluating the sensitivity of movement indicators, limiting our capacity to understand the evolution of urban mobility in depth. Using very large mobility records distributed over 3 years, we quantify the impact of the completion of a metro line extension: the Circle Line (CCL) in Singapore. We find that the commonly used movement indicators are almost identical before and after the project was completed. However, in comparing the temporal community structure across years, we do observe significant differences in the spatial reorganization of the affected geographical areas. The completion of CCL enables travellers to re-identify their desired destinations collectively with lower transport cost, making the community structure more consistent. These changes in locality are dynamic and characterized over short timescales, offering us a different approach to identify and analyse the long-term impact of new infrastructures on cities and their evolution dynamics. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Integrating Syrian refugee workers in global supply chains: creating opportunities for stable trade."
Abstract:"Purpose This paper presents an empirical study of a Syrian refugee workforce in textile export from Jordan. The purpose of this study is to determine the challenges of integrating Syrian refugees into the local workforce and to consider the implications of these challenges for the global supply chain aiming to create stable trade. Design/methodology/approach Data were collected via three face-to-face focus group interviews with refugee workers and managers at a clothing factory site in Al-Duleil, Zarqa. Data were analysed using the Gioia methodology. Findings Worker attitudes, factory environment, and government support are important factors for refugees' workforce participation. The success of integrating Syrian refugees into the Jordanian workforce was largely a matter of their attitudes, commitment and motivations for taking up manufacturing work. Misconceptions about the roles refugees will undertake were identified, which results in fewer people becoming self-sufficient through employment. Research limitations/implications This research contributes to understanding refugees' long-term integration in the host country by investigating refugee workers' and their managers' perspectives. Considering the views of multiple stakeholders enrichs the literature on refugees' integration. Social implications Understanding refugees' perspectives facilitates their integration in the host country which leads to improvement in their wellbeing and quality of life. More broadly, Jordan's approach to integrating refugees into the economy is seen as a development opportunity rather than a crisis to be handled. Originality/value Rather than focus on the procedures of integrating refugees in the host country, this study provides the voices of refugee migrant workers themselves, thereby offering a more complete picture of those factors shaping refugees' (dis)integration in local communities.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4];
Q3 = [2];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs09152 | 10.1108/JHLSCM-03-2021-0024 | Integrating Syrian refugee workers in global supply chains: creating opportunities for stable trade | Purpose This paper presents an empirical study of a Syrian refugee workforce in textile export from Jordan. The purpose of this study is to determine the challenges of integrating Syrian refugees into the local workforce and to consider the implications of these challenges for the global supply chain aiming to create stable trade. Design/methodology/approach Data were collected via three face-to-face focus group interviews with refugee workers and managers at a clothing factory site in Al-Duleil, Zarqa. Data were analysed using the Gioia methodology. Findings Worker attitudes, factory environment, and government support are important factors for refugees' workforce participation. The success of integrating Syrian refugees into the Jordanian workforce was largely a matter of their attitudes, commitment and motivations for taking up manufacturing work. Misconceptions about the roles refugees will undertake were identified, which results in fewer people becoming self-sufficient through employment. Research limitations/implications This research contributes to understanding refugees' long-term integration in the host country by investigating refugee workers' and their managers' perspectives. Considering the views of multiple stakeholders enrichs the literature on refugees' integration. Social implications Understanding refugees' perspectives facilitates their integration in the host country which leads to improvement in their wellbeing and quality of life. More broadly, Jordan's approach to integrating refugees into the economy is seen as a development opportunity rather than a crisis to be handled. Originality/value Rather than focus on the procedures of integrating refugees in the host country, this study provides the voices of refugee migrant workers themselves, thereby offering a more complete picture of those factors shaping refugees' (dis)integration in local communities. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"INTERNATIONALISING CONSTITUTIONAL LAW: AN INWARD-LOOKING OUTLOOK."
Abstract:"This article considers how certain domestic policies with respect to immigration have impacted on Australia's diplomatic engagement in the negotiation of international and human rights standards. It considers selected historical examples that illustrate Australia's impulse to internationalise the plenary power of exclusion embodied in ss 51(xix) and (xxvii) of the Constitution. It suggests that this historical impulse has an enduring relevance and is echoed in contemporary attempts to legitimise and normalise controversial aspects of Australia's asylum policy. In this connection, it considers the example of extraterritorial detention and processing of asylum seekers, in particular the issue of resettlement.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [5];
Q3 = [1];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs14986 | 10.1080/13200968.2016.1273066 | INTERNATIONALISING CONSTITUTIONAL LAW: AN INWARD-LOOKING OUTLOOK | This article considers how certain domestic policies with respect to immigration have impacted on Australia's diplomatic engagement in the negotiation of international and human rights standards. It considers selected historical examples that illustrate Australia's impulse to internationalise the plenary power of exclusion embodied in ss 51(xix) and (xxvii) of the Constitution. It suggests that this historical impulse has an enduring relevance and is echoed in contemporary attempts to legitimise and normalise controversial aspects of Australia's asylum policy. In this connection, it considers the example of extraterritorial detention and processing of asylum seekers, in particular the issue of resettlement. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Integrating storm surge modeling with traffic data analysis to evaluate the effectiveness of hurricane evacuation."
Abstract:"An integrated storm surge modeling and traffic analysis were conducted in this study to assess the effectiveness of hurricane evacuations through a case study of Hurricane Irma. The Category 5 hurricane in 2017 caused a record evacuation with an estimated 6.8 million people relocating statewide in Florida. The Advanced Circulation (ADCIRC) model was applied to simulate storm tides during the hurricane event. Model validations indicated that simulated pressures, winds, and storm surge compared well with observations. Model simulated storm tides and winds were used to estimate the area affected by Hurricane Irma. Results showed that the storm surge and strong wind mainly affected coastal counties in south-west Florida. Only moderate storm tides (maximum about 2.5 m) and maximum wind speed about 115 mph were shown in both model simulations and Federal Emergency Management Agency (FEMA) post-hurricane assessment near the area of hurricane landfall. Storm surges did not rise to the 100-year flood elevation level. The maximum wind was much below the design wind speed of 150-170 mph (Category 5) as defined in Florida Building Code (FBC) for south Florida coastal areas. Compared with the total population of about 2.25 million in the six coastal counties affected by storm surge and Category 1-3 wind, the statewide evacuation of approximately 6.8 million people was found to be an over-evacuation due mainly to the uncertainty of hurricane path, which shifted from south-east to south-west Florida. The uncertainty of hurricane tracks made it difficult to predict the appropriate storm surge inundation zone for evacuation. Traffic data were used to analyze the evacuation traffic patterns. In south-east Florida, evacuation traffic started 4 days before the hurricane's arrival. However, the hurricane path shifted and eventually landed in south-west Florida, which caused a high level of evacuation traffic in south-west Florida. Over-evacuation caused Evacuation Traffic Index (ETI) to increase to 200% above normal conditions in some sections of highways, which reduced the effectiveness of evacuation. Results from this study show that evacuation efficiency can be improved in the future by more accurate hurricane forecasting, better public awareness of real-time storm surge and wind as well as integrated storm surge and evacuation modeling for quick response to the uncertainty of hurricane forecasting.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [1,2];
Q3 = [];
Q4 = [40];
Q5 = [];
Q6 = [1]. | abs00795 | 10.1007/s11709-021-0765-1 | Integrating storm surge modeling with traffic data analysis to evaluate the effectiveness of hurricane evacuation | An integrated storm surge modeling and traffic analysis were conducted in this study to assess the effectiveness of hurricane evacuations through a case study of Hurricane Irma. The Category 5 hurricane in 2017 caused a record evacuation with an estimated 6.8 million people relocating statewide in Florida. The Advanced Circulation (ADCIRC) model was applied to simulate storm tides during the hurricane event. Model validations indicated that simulated pressures, winds, and storm surge compared well with observations. Model simulated storm tides and winds were used to estimate the area affected by Hurricane Irma. Results showed that the storm surge and strong wind mainly affected coastal counties in south-west Florida. Only moderate storm tides (maximum about 2.5 m) and maximum wind speed about 115 mph were shown in both model simulations and Federal Emergency Management Agency (FEMA) post-hurricane assessment near the area of hurricane landfall. Storm surges did not rise to the 100-year flood elevation level. The maximum wind was much below the design wind speed of 150-170 mph (Category 5) as defined in Florida Building Code (FBC) for south Florida coastal areas. Compared with the total population of about 2.25 million in the six coastal counties affected by storm surge and Category 1-3 wind, the statewide evacuation of approximately 6.8 million people was found to be an over-evacuation due mainly to the uncertainty of hurricane path, which shifted from south-east to south-west Florida. The uncertainty of hurricane tracks made it difficult to predict the appropriate storm surge inundation zone for evacuation. Traffic data were used to analyze the evacuation traffic patterns. In south-east Florida, evacuation traffic started 4 days before the hurricane's arrival. However, the hurricane path shifted and eventually landed in south-west Florida, which caused a high level of evacuation traffic in south-west Florida. Over-evacuation caused Evacuation Traffic Index (ETI) to increase to 200% above normal conditions in some sections of highways, which reduced the effectiveness of evacuation. Results from this study show that evacuation efficiency can be improved in the future by more accurate hurricane forecasting, better public awareness of real-time storm surge and wind as well as integrated storm surge and evacuation modeling for quick response to the uncertainty of hurricane forecasting. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"The influence of environment-based autonomous mobility on the evolution of cooperation."
Abstract:"Migration is an important feature of natural society. In real life, people will judge whether to migrate according to their satisfaction with the environment. This paper assumes that for a defector, when the number of cooperators in his neighbor fails to meet his expectation, he will choose to migrate, and for a cooperator, when the number of defectors in his neighbor exceeds his tolerance, he will choose to migrate. Results show that when the defectors have high requirements on the environment and are easy to move, if the cooperators have no requirements on the environment and do not move, for any population density, the system will eventually be all cooperators; if the cooperators choose to migrate when their neighbors are full of defectors, the system will eventually be all cooperators at the low population density, and with the increase of population density, the proportion of cooperation will decrease, showing a state of coexistence of cooperation and defection. However, when the defectors have no requirements on the environment and do not move, the cooperators have high requirements on the environment that move as long as there are defectors in their neighbors, for all population densities, cooperation and defection always coexist in the system, and there exists a population density, which maximizes the proportion of cooperation. That is to say, when cooperators and defectors one have high environmental requirements and the other have low requirements, it is conducive to cooperation.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [1]. | abs00153 | 10.1016/j.chaos.2023.113320 | The influence of environment-based autonomous mobility on the evolution of cooperation | Migration is an important feature of natural society. In real life, people will judge whether to migrate according to their satisfaction with the environment. This paper assumes that for a defector, when the number of cooperators in his neighbor fails to meet his expectation, he will choose to migrate, and for a cooperator, when the number of defectors in his neighbor exceeds his tolerance, he will choose to migrate. Results show that when the defectors have high requirements on the environment and are easy to move, if the cooperators have no requirements on the environment and do not move, for any population density, the system will eventually be all cooperators; if the cooperators choose to migrate when their neighbors are full of defectors, the system will eventually be all cooperators at the low population density, and with the increase of population density, the proportion of cooperation will decrease, showing a state of coexistence of cooperation and defection. However, when the defectors have no requirements on the environment and do not move, the cooperators have high requirements on the environment that move as long as there are defectors in their neighbors, for all population densities, cooperation and defection always coexist in the system, and there exists a population density, which maximizes the proportion of cooperation. That is to say, when cooperators and defectors one have high environmental requirements and the other have low requirements, it is conducive to cooperation. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"The Permission to be Cruel: Street-Level Bureaucrats and Harms Against People Seeking Asylum."
Abstract:"Immigration and asylum policies and practices in Britain have turned increasingly hostile. People seeking asylum are exposed to a panoply of control measures and rendered vulnerable. The state has exteriorized its controls and drawn-in various actors and agencies who now enact state power in the control of migration. This article moves away from essentialist and simplistic notions of the state-one that views the state as monolithic and coherent with strictly defined social borders-and explores the role of what Lipsky (2010), in his bookStreet-level Bureaucracy, calls street-level bureaucrats. It shows the ways in which actors and agencies enact state power and inflict cruelty on asylum seekers through their strategic actions and inactions. Drawing on data from ethnographic research, this article demonstrates how bureaucratic practices create and exacerbate psychological distress among asylum seekers and push them into dangerous and potentially life-threatening situations. By doing so, this article makes a contribution to the literature on migration, state racism and violence.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [5,6];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [0]. | abs11634 | 10.1007/s10612-020-09515-3 | The Permission to be Cruel: Street-Level Bureaucrats and Harms Against People Seeking Asylum | Immigration and asylum policies and practices in Britain have turned increasingly hostile. People seeking asylum are exposed to a panoply of control measures and rendered vulnerable. The state has exteriorized its controls and drawn-in various actors and agencies who now enact state power in the control of migration. This article moves away from essentialist and simplistic notions of the state-one that views the state as monolithic and coherent with strictly defined social borders-and explores the role of what Lipsky (2010), in his bookStreet-level Bureaucracy, calls street-level bureaucrats. It shows the ways in which actors and agencies enact state power and inflict cruelty on asylum seekers through their strategic actions and inactions. Drawing on data from ethnographic research, this article demonstrates how bureaucratic practices create and exacerbate psychological distress among asylum seekers and push them into dangerous and potentially life-threatening situations. By doing so, this article makes a contribution to the literature on migration, state racism and violence. |
Subsets and Splits