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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:"Treating the invisible: Gaps and opportunities for enhanced TB control along the Thailand-Myanmar border."
Abstract:"Background: In Thailand's northwestern Tak province, contextual conditions along the border with Myanmar pose difficulties for TB control among migrant populations. Incomplete surveillance data, migrant patient mobility, and loss to follow-up make it difficult to estimate the TB burden and implement effective TB control measures. This multi-methods study examined tuberculosis, tuberculosis and human immunodeficiency virus co-infection, and multidrug-resistant tuberculosis treatment accessibility for migrants and refugees in Tak province, health system response, and public health surveillance. Methods: In this study we conducted 13 interviews with key informants working in public health or TB treatment provision to elicit information on TB treatment availability and TB surveillance practices. In addition we organized 15 focus group discussions with refugee and migrant TB, TB/HIV, and MDR-TB patients and non-patients to discuss treatment access. We analyzed the data using thematic analysis and created treatment availability maps with Google maps. Results: The study identified surveillance, treatment, and funding gaps. Migrant TB cases are underreported in the provincial statistics due to jurisdictional interpretations and resource barriers. Our results suggest that TB/HIV and MDR-TB treatment options are limited for migrants and a heavy reliance on donor funding may lead to potential funding gaps for migrant TB services. We identified several opportunities that positively contribute to TB control in Tak province: improved diagnostics, comprehensive care, and collaboration through data sharing, planning, and patient referrals. The various organizations providing TB treatment to migrant and refugee populations along the border and the Tak Provincial Public Health Office are highly collaborative which offers a strong foundation for future TB control initiatives. Conclusions: Our findings suggest the need to enhance the surveillance system to include all migrant TB patients who seek treatment in Tak province and support efforts by stakeholders on both sides of the border to continue to share data and engage in collaborative planning on TB, TB/HIV, and MDR-TB treatment provision for 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:
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Q6 = [0]. | abs14518 | 10.1186/s12913-016-1954-9 | Treating the invisible: Gaps and opportunities for enhanced TB control along the Thailand-Myanmar border | Background: In Thailand's northwestern Tak province, contextual conditions along the border with Myanmar pose difficulties for TB control among migrant populations. Incomplete surveillance data, migrant patient mobility, and loss to follow-up make it difficult to estimate the TB burden and implement effective TB control measures. This multi-methods study examined tuberculosis, tuberculosis and human immunodeficiency virus co-infection, and multidrug-resistant tuberculosis treatment accessibility for migrants and refugees in Tak province, health system response, and public health surveillance. Methods: In this study we conducted 13 interviews with key informants working in public health or TB treatment provision to elicit information on TB treatment availability and TB surveillance practices. In addition we organized 15 focus group discussions with refugee and migrant TB, TB/HIV, and MDR-TB patients and non-patients to discuss treatment access. We analyzed the data using thematic analysis and created treatment availability maps with Google maps. Results: The study identified surveillance, treatment, and funding gaps. Migrant TB cases are underreported in the provincial statistics due to jurisdictional interpretations and resource barriers. Our results suggest that TB/HIV and MDR-TB treatment options are limited for migrants and a heavy reliance on donor funding may lead to potential funding gaps for migrant TB services. We identified several opportunities that positively contribute to TB control in Tak province: improved diagnostics, comprehensive care, and collaboration through data sharing, planning, and patient referrals. The various organizations providing TB treatment to migrant and refugee populations along the border and the Tak Provincial Public Health Office are highly collaborative which offers a strong foundation for future TB control initiatives. Conclusions: Our findings suggest the need to enhance the surveillance system to include all migrant TB patients who seek treatment in Tak province and support efforts by stakeholders on both sides of the border to continue to share data and engage in collaborative planning on TB, TB/HIV, and MDR-TB treatment provision for 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:"Risk of violence among patients in psychiatric treatment: results from a national census."
Abstract:"Background: Adverse media coverage of isolated incidents affects the public perception of the risk of violent behavior among people with mental illness. However, the risk of violence is studied most frequently among inpatients, which falsely exaggerates the prevalence of people with mental illness because the majority of individuals receive treatment as outpatients.Aim: To estimate the prevalence of the risk of violence among inpatients and outpatients in psychiatric treatment, as well as the associations with gender, age, socio-economic status and co-morbid substance use disorders in all major diagnostic categories.Methods: We conducted a national census of patients in specialist mental health services in Norway, which included 65% of all inpatients (N=2,358) and 60% of all outpatients (N=23,124).Results: The prevalence of the risk of violence was 32% among inpatients and 8% among outpatients, where 80% of the patients in specialist mental health services were outpatients. If we weight the prevalence rates accordingly, less than 2% of the patients in specialist mental health services had a high risk of violent behavior.Conclusions: The stigma attached to those with mental illness is not consistent with the absence or low to modest risk of violent behavior in 98% of the patient group. Substance use disorders must be given priority in the treatment of all patient groups. Mental health care in general and interventions that target violent behavior in particular should address the problems and needs of these patients better, especially those who are unemployed, have a low level of education and have a background of being a refugee or an immigrant.."
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 = [2];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs14630 | 10.1080/08039488.2017.1352024 | Risk of violence among patients in psychiatric treatment: results from a national census | Background: Adverse media coverage of isolated incidents affects the public perception of the risk of violent behavior among people with mental illness. However, the risk of violence is studied most frequently among inpatients, which falsely exaggerates the prevalence of people with mental illness because the majority of individuals receive treatment as outpatients.Aim: To estimate the prevalence of the risk of violence among inpatients and outpatients in psychiatric treatment, as well as the associations with gender, age, socio-economic status and co-morbid substance use disorders in all major diagnostic categories.Methods: We conducted a national census of patients in specialist mental health services in Norway, which included 65% of all inpatients (N=2,358) and 60% of all outpatients (N=23,124).Results: The prevalence of the risk of violence was 32% among inpatients and 8% among outpatients, where 80% of the patients in specialist mental health services were outpatients. If we weight the prevalence rates accordingly, less than 2% of the patients in specialist mental health services had a high risk of violent behavior.Conclusions: The stigma attached to those with mental illness is not consistent with the absence or low to modest risk of violent behavior in 98% of the patient group. Substance use disorders must be given priority in the treatment of all patient groups. Mental health care in general and interventions that target violent behavior in particular should address the problems and needs of these patients better, especially those who are unemployed, have a low level of education and have a background of being a refugee or an immigrant. |
<|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:"When Crowdsourcing Meets Unmanned Vehicles: Toward Cost-Effective Collaborative Urban Sensing via Deep Reinforcement Learning."
Abstract:"Mobile crowdsensing (MCS) and unmanned vehicle sensing (UVS) provide two complementary paradigms for large-scale urban sensing. Generally, MCS has a lower cost but often confronts sensing imbalance and even blind areas due to the limitation of human mobility, whereas UVS is often capable of completing more demanding tasks at the expense of limited energy supply and hardware cost. Thus, it is significant to investigate whether we could integrate the two paradigms for high-quality urban sensing in a cost-effective collaborative way. However, it is nontrivial due to complex and long-term optimization objectives, uncontrolled dynamics, and a large number of heterogeneous agents. To address the collaborative sensing problem, we propose an actor-critic-based heterogeneous collaborative reinforcement learning (HCRL) algorithm, which leverages several key ideas: local observation to handle expanded state space and extract the states of neighbor nodes, generalized model to avoid environment nonstationarity and ensure the scalability and stability of network, and proximal policy optimization to prevent the destructively large policy updates. Extensive simulations based on a mobility model and a realistic trace data set are conducted to confirm that HCRL outperforms the state-of-the-art baselines.."
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]. | abs17581 | 10.1109/JIOT.2021.3062569 | When Crowdsourcing Meets Unmanned Vehicles: Toward Cost-Effective Collaborative Urban Sensing via Deep Reinforcement Learning | Mobile crowdsensing (MCS) and unmanned vehicle sensing (UVS) provide two complementary paradigms for large-scale urban sensing. Generally, MCS has a lower cost but often confronts sensing imbalance and even blind areas due to the limitation of human mobility, whereas UVS is often capable of completing more demanding tasks at the expense of limited energy supply and hardware cost. Thus, it is significant to investigate whether we could integrate the two paradigms for high-quality urban sensing in a cost-effective collaborative way. However, it is nontrivial due to complex and long-term optimization objectives, uncontrolled dynamics, and a large number of heterogeneous agents. To address the collaborative sensing problem, we propose an actor-critic-based heterogeneous collaborative reinforcement learning (HCRL) algorithm, which leverages several key ideas: local observation to handle expanded state space and extract the states of neighbor nodes, generalized model to avoid environment nonstationarity and ensure the scalability and stability of network, and proximal policy optimization to prevent the destructively large policy updates. Extensive simulations based on a mobility model and a realistic trace data set are conducted to confirm that HCRL outperforms the state-of-the-art baselines. |
<|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:"Refugees in Their Own Country Women, Children and Elderly People Caught up in the Transylvanian Theaters of War during the Great War."
Abstract:"The First World War engendered an emblematic image of the twentieth century: the figure of the war refugee. For more than four years, Europe was a theatre of war in which entire populations were displaced from their regions of origin, while others awaited similar decisions. Having entered the war in 1914, Transylvania was one of the areas where refugees sought shelter. Throughout the war, in different areas and in various stages, the Transylvanian population had to cope with several waves of refugees who tried to find a safe haven in the interior of the province. This research aims to reconstruct and analyze this experience of the civilian refugees from the border areas of Transylvania, who looked for safety inside their own province. In other words, we intend to focus on the behavior of the refugees and on that of the population from the receiving areas, the attitudes and reactions of the host communities, the image of the refugees and its reception at the local community level, the initiatives taken by the state authorities and by charitable organizations, the difficult integration in the new communities, the host communities' reactions of solidarity or rejection, the refugees' return and reintegration in their places of origin, as well as the rebuilding of areas and houses that had been partially or fully destroyed.."
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];
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Q6 = [0]. | abs21251 | gen.2019.43991277 | Refugees in Their Own Country Women, Children and Elderly People Caught up in the Transylvanian Theaters of War during the Great War | The First World War engendered an emblematic image of the twentieth century: the figure of the war refugee. For more than four years, Europe was a theatre of war in which entire populations were displaced from their regions of origin, while others awaited similar decisions. Having entered the war in 1914, Transylvania was one of the areas where refugees sought shelter. Throughout the war, in different areas and in various stages, the Transylvanian population had to cope with several waves of refugees who tried to find a safe haven in the interior of the province. This research aims to reconstruct and analyze this experience of the civilian refugees from the border areas of Transylvania, who looked for safety inside their own province. In other words, we intend to focus on the behavior of the refugees and on that of the population from the receiving areas, the attitudes and reactions of the host communities, the image of the refugees and its reception at the local community level, the initiatives taken by the state authorities and by charitable organizations, the difficult integration in the new communities, the host communities' reactions of solidarity or rejection, the refugees' return and reintegration in their places of origin, as well as the rebuilding of areas and houses that had been partially or fully destroyed. |
<|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:"Parallel Lives - promoting recovery through participant-led research."
Abstract:"A group of people with lived experience of mental health problems explored the archived records of a defunct 'Lunatic Asylum' and reported on their findings. This was a participant-led project with researchers supported by a tutor and a member of the archive staff. Participants controlled the whole project, choosing their own areas of investigation and how they would study these. They also designed and delivered a presentation of their findings to the public. A focus group, held to evaluate the project, found that the 'group', as an entity, was vital to the success of the project, which has uncovered much information about the lives of mentally ill 'patients' in the nineteenth century. It has also given the participants valuable research experience. Their control over the study led to increased confidence and empowered participant-researchers to consider routes for progression and increased aspirations for the future which can include recovery.."
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]. | abs15303 | 10.1080/14623730.2014.995423 | Parallel Lives - promoting recovery through participant-led research | A group of people with lived experience of mental health problems explored the archived records of a defunct 'Lunatic Asylum' and reported on their findings. This was a participant-led project with researchers supported by a tutor and a member of the archive staff. Participants controlled the whole project, choosing their own areas of investigation and how they would study these. They also designed and delivered a presentation of their findings to the public. A focus group, held to evaluate the project, found that the 'group', as an entity, was vital to the success of the project, which has uncovered much information about the lives of mentally ill 'patients' in the nineteenth century. It has also given the participants valuable research experience. Their control over the study led to increased confidence and empowered participant-researchers to consider routes for progression and increased aspirations for the future which can include recovery. |
<|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:"CellPred: A Behavior-aware Scheme for Cellular Data Usage Prediction."
Abstract:"Cellular data usage consumption prediction is an important topic in cellular networks related researches. Accurately predicting future data usage can benefit both the cellular operators and the users, which can further enable a wide range of applications. Different from previous work focusing on statistical approaches, in this paper, we propose a scheme called CellPred to predict cellular data usage from an individual user perspective considering user behavior patterns. Specifically, we utilize explicit user behavioral tags collected from subscription data to function as an external aid to enhance the user's mobility and usage prediction. Then we aggregate individual user data usage to cell tower level to obtain the final prediction results. To our knowledge, this is the first work studying cellular data usage prediction from an individual user behavior-aware perspective based on large-scale cellular signaling and behavior tags from the subscription data. The results show that our method improves the data usage prediction accuracy compared to the state-of-the-art methods; we also comprehensively demonstrate the impacts of contextual factors on CellPred performance. Our work can shed light on broad cellular networks researches related to human mobility and data usage. Finally, we discuss issues such as limitations, applications of our approach, and insights from our work.."
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]. | abs17583 | 10.1145/3380982 | CellPred: A Behavior-aware Scheme for Cellular Data Usage Prediction | Cellular data usage consumption prediction is an important topic in cellular networks related researches. Accurately predicting future data usage can benefit both the cellular operators and the users, which can further enable a wide range of applications. Different from previous work focusing on statistical approaches, in this paper, we propose a scheme called CellPred to predict cellular data usage from an individual user perspective considering user behavior patterns. Specifically, we utilize explicit user behavioral tags collected from subscription data to function as an external aid to enhance the user's mobility and usage prediction. Then we aggregate individual user data usage to cell tower level to obtain the final prediction results. To our knowledge, this is the first work studying cellular data usage prediction from an individual user behavior-aware perspective based on large-scale cellular signaling and behavior tags from the subscription data. The results show that our method improves the data usage prediction accuracy compared to the state-of-the-art methods; we also comprehensively demonstrate the impacts of contextual factors on CellPred performance. Our work can shed light on broad cellular networks researches related to human mobility and data usage. Finally, we discuss issues such as limitations, applications of our approach, and insights from our work. |
<|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 effect of migration on social capital and depression among older adults in China."
Abstract:"An estimated 9 million elderly people accompanied their adult children to urban areas in China, raising concerns about their social capital and mental health following re-location. The aim of this study was to examine the effect of migration on social capital and depression among this population. Multistage stratified cluster sampling was applied to recruit the migrant and urban elderly in Hangzhou from May to August, 2013. Data were collected from face-to-face interviews by trained college students using a standardized questionnaire. Social capital measurements included cognitive (generalized trust and reciprocity) and structure (support from individual and social contact) aspects. Depression was measured by Geriatric Depression Scale-30 (GDS-30). Chi-square tests and binary logistic regression models were used for analysis. A total of 1248 migrant elderly and 1322 urban elderly were eligible for analysis. After adjusting for a range of confounder factors, binary logistic regression models revealed that migrant elderly reported significantly lower levels of generalized trust [OR = 1.34, 95% CI (1.10-1.64)], reciprocity [OR = 1.55, 95% CI (1.29-1.87)], support from individual [OR = 1.96, 95% CI (1.61-2.38)] and social contact [OR = 3.27, 95% CI (2.70-3.97)]. In the full adjusted model, migrant elderly were more likely to be mentally unhealthy [OR = 1.85, 95% CI (1.44-2.36)] compared with urban elderly. Migrant elderly suffered from a lower mental health status and social capital than their urban counterparts in the emigrating city. Attention should focus on improving the social capital and mental health of this growing 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:
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Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
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Q5 = [1];
Q6 = [1]. | abs19079 | 10.1007/s00127-017-1439-0 | The effect of migration on social capital and depression among older adults in China | An estimated 9 million elderly people accompanied their adult children to urban areas in China, raising concerns about their social capital and mental health following re-location. The aim of this study was to examine the effect of migration on social capital and depression among this population. Multistage stratified cluster sampling was applied to recruit the migrant and urban elderly in Hangzhou from May to August, 2013. Data were collected from face-to-face interviews by trained college students using a standardized questionnaire. Social capital measurements included cognitive (generalized trust and reciprocity) and structure (support from individual and social contact) aspects. Depression was measured by Geriatric Depression Scale-30 (GDS-30). Chi-square tests and binary logistic regression models were used for analysis. A total of 1248 migrant elderly and 1322 urban elderly were eligible for analysis. After adjusting for a range of confounder factors, binary logistic regression models revealed that migrant elderly reported significantly lower levels of generalized trust [OR = 1.34, 95% CI (1.10-1.64)], reciprocity [OR = 1.55, 95% CI (1.29-1.87)], support from individual [OR = 1.96, 95% CI (1.61-2.38)] and social contact [OR = 3.27, 95% CI (2.70-3.97)]. In the full adjusted model, migrant elderly were more likely to be mentally unhealthy [OR = 1.85, 95% CI (1.44-2.36)] compared with urban elderly. Migrant elderly suffered from a lower mental health status and social capital than their urban counterparts in the emigrating city. Attention should focus on improving the social capital and mental health of this growing 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:"Impact evaluation of a community-based intervention for prevention of cardiovascular diseases in the slums of Nairobi: the SCALE-UP study."
Abstract:"Background: A combination of increasing urbanization, behaviour change, and lack of health services in slums put the urban poor specifically at risk of cardiovascular disease (CVD). This study aimed to evaluate the impact of a community-based CVD prevention intervention on blood pressure (BP) and other CVD risk factors in a slum setting in Nairobi, Kenya. Design: Prospective intervention study includes awareness campaigns, household visits for screening, and referral and treatment of people with hypertension. The primary outcome was overall change in mean systolic blood pressure (SBP), while secondary outcomes were changes in awareness of hypertension and other CVD risk factors. We evaluated the intervention's impact through consecutive cross-sectional surveys at baseline and after 18 months, comparing outcomes of intervention and control group, through a difference-in-difference method. Results: We screened 1,531 and 1,233 participants in the intervention and control sites. We observed a significant reduction in mean SBP when comparing before and after measurements in both intervention and control groups, -2.75 mmHg (95% CI = 4.33 to -1.18, p = 0.001) and -1.67 mmHg (95% CI -3.17 to -0.17, p = 0.029), respectively. Among people with hypertension at baseline, SBP was reduced by -14.82 mmHg (95% CI -18.04 to -11.61, p < 0.001) in the intervention and -14.05 (95% CI -17.71 to -10.38, p < 0.001) at the control site. However, comparing these two groups, we found no difference in changes in mean SBP or hypertension prevalence. Conclusions: We found significant declines in SBP over time in both intervention and control groups. However, we found no additional effect of a community-based intervention involving awareness campaigns, screening, referral, and treatment. Possible explanations include the beneficial effect of baseline measurements in the control group on behaviour and related BP levels, and the limited success of treatment and suboptimal adherence in the intervention group.."
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]. | abs02994 | 10.3402/gha.v9.30922 | Impact evaluation of a community-based intervention for prevention of cardiovascular diseases in the slums of Nairobi: the SCALE-UP study | Background: A combination of increasing urbanization, behaviour change, and lack of health services in slums put the urban poor specifically at risk of cardiovascular disease (CVD). This study aimed to evaluate the impact of a community-based CVD prevention intervention on blood pressure (BP) and other CVD risk factors in a slum setting in Nairobi, Kenya. Design: Prospective intervention study includes awareness campaigns, household visits for screening, and referral and treatment of people with hypertension. The primary outcome was overall change in mean systolic blood pressure (SBP), while secondary outcomes were changes in awareness of hypertension and other CVD risk factors. We evaluated the intervention's impact through consecutive cross-sectional surveys at baseline and after 18 months, comparing outcomes of intervention and control group, through a difference-in-difference method. Results: We screened 1,531 and 1,233 participants in the intervention and control sites. We observed a significant reduction in mean SBP when comparing before and after measurements in both intervention and control groups, -2.75 mmHg (95% CI = 4.33 to -1.18, p = 0.001) and -1.67 mmHg (95% CI -3.17 to -0.17, p = 0.029), respectively. Among people with hypertension at baseline, SBP was reduced by -14.82 mmHg (95% CI -18.04 to -11.61, p < 0.001) in the intervention and -14.05 (95% CI -17.71 to -10.38, p < 0.001) at the control site. However, comparing these two groups, we found no difference in changes in mean SBP or hypertension prevalence. Conclusions: We found significant declines in SBP over time in both intervention and control groups. However, we found no additional effect of a community-based intervention involving awareness campaigns, screening, referral, and treatment. Possible explanations include the beneficial effect of baseline measurements in the control group on behaviour and related BP levels, and the limited success of treatment and suboptimal adherence in the intervention group. |
<|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:"Height Convergence and Internal Migration in Mid-Twentieth-Century Italy."
Abstract:"Height convergence across Italian regions during the second half of the twentieth century is a widely recognized fact. However, it has been suggested that this process was partly affected by the massive migratory flow of people from southern to northern Italy in the 1950s and 1960s, which greatly slowed the height growth rate in the receiving regions, since immigrants were on average shorter than the receiving northern population. The main aims of this study were to estimate the speed of height convergence of Italian military conscripts in the second half of the twentieth century, and to estimate the contribution of internal migration from the south to the north of Italy to height convergence. We hypothesized that migrants from southern Italy reduced height levels among northerners relative to what they would have been without considering migration. We used cohort data on Italian conscripts born in 1951 and 1980. Results indicate that internal migration may explain from 24 to 32.7 percent of height convergence, meaning that ignoring migration flows yields an overestimation of the height changes for conscripts living in the south of Italy.."
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]. | abs19164 | 10.1080/19485565.2014.899459 | Height Convergence and Internal Migration in Mid-Twentieth-Century Italy | Height convergence across Italian regions during the second half of the twentieth century is a widely recognized fact. However, it has been suggested that this process was partly affected by the massive migratory flow of people from southern to northern Italy in the 1950s and 1960s, which greatly slowed the height growth rate in the receiving regions, since immigrants were on average shorter than the receiving northern population. The main aims of this study were to estimate the speed of height convergence of Italian military conscripts in the second half of the twentieth century, and to estimate the contribution of internal migration from the south to the north of Italy to height convergence. We hypothesized that migrants from southern Italy reduced height levels among northerners relative to what they would have been without considering migration. We used cohort data on Italian conscripts born in 1951 and 1980. Results indicate that internal migration may explain from 24 to 32.7 percent of height convergence, meaning that ignoring migration flows yields an overestimation of the height changes for conscripts living in the south of Italy. |
<|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 new second generation in the United States."
Abstract:"Immigration to the United States accelerated in the late 1960s. Since many migrants are young people who form families shortly after arrival, there is now a large and rapidly growing second generation - many of them now young adults who recently completed school and started their careers. There is much speculation about whether this second generation will assimilate into the middle class rapidly or form a new urban underclass. The last census to ask parental birthplace questions was 1970, so an absence of data precluded testing hypotheses about the social and economic progress of the new second generation. In 1994, the Census Bureau returned an inquiry about parental birthplace to the Current Population Survey so there is now an annual national sample of about 16,000 second-gene ration Americans. Data from the 1998 and 2000 surveys were pooled and analyzed. This investigation demonstrates that these comprehensive new data provide valuable descriptive information about today's second generation and permit the cautious testing of hypotheses concerning social and economic assimilation. They reveal a great diversity among the second generation depending upon country of origin but, in most comparisons, today's second generation exceed their first-generation parents in educational attainment, occupational achievement and economic status. In many comparisons, second-generation groups have educational attainments exceeding those of third- and higher-generation whites and African Americans. These data refute the hypothesis that today's second generation will languish in poverty. Nevertheless, intergenerational progress was less for persons of Puerto Rican and Mexican heritage than for those of Asian, European or South American heritage.."
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 = [3,7];
Q3 = [2];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs20878 | gen.2002.84881700 | The new second generation in the United States | Immigration to the United States accelerated in the late 1960s. Since many migrants are young people who form families shortly after arrival, there is now a large and rapidly growing second generation - many of them now young adults who recently completed school and started their careers. There is much speculation about whether this second generation will assimilate into the middle class rapidly or form a new urban underclass. The last census to ask parental birthplace questions was 1970, so an absence of data precluded testing hypotheses about the social and economic progress of the new second generation. In 1994, the Census Bureau returned an inquiry about parental birthplace to the Current Population Survey so there is now an annual national sample of about 16,000 second-gene ration Americans. Data from the 1998 and 2000 surveys were pooled and analyzed. This investigation demonstrates that these comprehensive new data provide valuable descriptive information about today's second generation and permit the cautious testing of hypotheses concerning social and economic assimilation. They reveal a great diversity among the second generation depending upon country of origin but, in most comparisons, today's second generation exceed their first-generation parents in educational attainment, occupational achievement and economic status. In many comparisons, second-generation groups have educational attainments exceeding those of third- and higher-generation whites and African Americans. These data refute the hypothesis that today's second generation will languish in poverty. Nevertheless, intergenerational progress was less for persons of Puerto Rican and Mexican heritage than for those of Asian, European or South American heritage. |
<|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:"Cannabis and psychosis: revisiting a nineteenth century study of 'Indian Hemp and Insanity' in Colonial British India."
Abstract:"Background In nineteenth-century British India, concern regarding large numbers of asylum patients with 'Indian Hemp Insanity' led to establishment of the Indian Hemp Drugs Commission. The exotic cannabis plant was widely used in pharmacopeia and a source of government revenue. The Commission was tasked with determining the public health risks of cannabis use, particularly mental illness. This analysis of the Commission report seeks to highlight the status of 1892 cannabis research and compare it with current evidence for medical and recreational cannabis use. Methods Detailed historiographic review of the Indian Hemp Drugs Commission Report (1892). Results In 1892, heavy cannabis use was considered to have been associated with severe mental illness (7.3% of asylum patients; 12.6% of patients with diagnoses). About two-thirds were children and young adults with higher relapse rates. Risk increased with early cannabis use and a family history of mental illness. Cannabis psychosis was found to have a shorter trajectory and better prognosis than other mental illnesses in the asylums. Different cannabis potency and modes of consumption had different effects. Occasional cannabis use was felt to have medicinal benefits for some. Appendices provided symptoms and demographic characteristics of cannabis-induced mental illness. Conclusion This important nineteenth-century study observed frequency and dose-related effects of cannabis on mental health, particularly psychotic symptoms in young people with a previous or hereditary risk of mental illness. Pathophysiological observations were consistent with current knowledge. As one of the most systematic and detailed studies of the effects of cannabis of the time it foreshadowed contemporary cannabis issues.."
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]. | abs11725 | 10.1017/S0033291719001077 | Cannabis and psychosis: revisiting a nineteenth century study of 'Indian Hemp and Insanity' in Colonial British India | Background In nineteenth-century British India, concern regarding large numbers of asylum patients with 'Indian Hemp Insanity' led to establishment of the Indian Hemp Drugs Commission. The exotic cannabis plant was widely used in pharmacopeia and a source of government revenue. The Commission was tasked with determining the public health risks of cannabis use, particularly mental illness. This analysis of the Commission report seeks to highlight the status of 1892 cannabis research and compare it with current evidence for medical and recreational cannabis use. Methods Detailed historiographic review of the Indian Hemp Drugs Commission Report (1892). Results In 1892, heavy cannabis use was considered to have been associated with severe mental illness (7.3% of asylum patients; 12.6% of patients with diagnoses). About two-thirds were children and young adults with higher relapse rates. Risk increased with early cannabis use and a family history of mental illness. Cannabis psychosis was found to have a shorter trajectory and better prognosis than other mental illnesses in the asylums. Different cannabis potency and modes of consumption had different effects. Occasional cannabis use was felt to have medicinal benefits for some. Appendices provided symptoms and demographic characteristics of cannabis-induced mental illness. Conclusion This important nineteenth-century study observed frequency and dose-related effects of cannabis on mental health, particularly psychotic symptoms in young people with a previous or hereditary risk of mental illness. Pathophysiological observations were consistent with current knowledge. As one of the most systematic and detailed studies of the effects of cannabis of the time it foreshadowed contemporary cannabis issues. |
<|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:"Re-framing the creative city: Fragile friendships and affective art spaces in Darwin, Australia."
Abstract:"Australia has one of the most urbanised and diverse populations in the world, but there is little research that explores fleeting friendships between marginalised/racialised ethnic minority and indigenous populations. In contrast to metropolitan cities in white settler societies that have been the focus of much research, this paper focuses on the small, tropical city of Darwin in Northern Australia. This is a city that is at the centre of public debates on indigenous wellbeing, migrant integration and asylum seeker policies, with social welfare programmes that provide little opportunities for hopeful encounters among indigenous peoples and ethnic minority newcomers in surface spaces. I argue, however, that grass root' forms of creativity in an underground' car park bring their affective worlds together through a shared passion for art. The paper draws on gentle methodologies including participatory visual methods to privilege non-Western ways of inhabiting place. Through a quiet politics' and affective engagement with spacetimes both proximate and distant, the paper shows that it is possible to invoke different futures and crystallise experimental publics in the diverse city. The paper responds to a call to push the boundaries of urban research on social difference through geographies of friendship that are yet to engage with multisensory bodies, emotion, affect and art.."
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 = [2];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs21285 | 10.1177/0042098016686510 | Re-framing the creative city: Fragile friendships and affective art spaces in Darwin, Australia | Australia has one of the most urbanised and diverse populations in the world, but there is little research that explores fleeting friendships between marginalised/racialised ethnic minority and indigenous populations. In contrast to metropolitan cities in white settler societies that have been the focus of much research, this paper focuses on the small, tropical city of Darwin in Northern Australia. This is a city that is at the centre of public debates on indigenous wellbeing, migrant integration and asylum seeker policies, with social welfare programmes that provide little opportunities for hopeful encounters among indigenous peoples and ethnic minority newcomers in surface spaces. I argue, however, that grass root' forms of creativity in an underground' car park bring their affective worlds together through a shared passion for art. The paper draws on gentle methodologies including participatory visual methods to privilege non-Western ways of inhabiting place. Through a quiet politics' and affective engagement with spacetimes both proximate and distant, the paper shows that it is possible to invoke different futures and crystallise experimental publics in the diverse city. The paper responds to a call to push the boundaries of urban research on social difference through geographies of friendship that are yet to engage with multisensory bodies, emotion, affect and art. |
<|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 Potentials of Digital Collaborative Platforms for the Innovation of Refugees' Reception Strategies."
Abstract:"The article presents a reflection on the possibilities that the information technologies and new apps developed in the context of the sharing economy may have in the processes of receiving refugees. In recent years, the narrative of migratory phenomena has emphasised the idea of an out of control emergency, negatively affecting the ability to imagine constructive answers to arising situations. After a review of definitions, numbers and reception practices in Italy, the article focuses on the inclusive models made possible by using digital collaborative platforms. The case of Refugees Welcome, an association that uses an online platform to connect people offering a room with refugees looking for a place in which to live is analysed in order to better understand its working model, using a mix of qualitative and quantitative data. The conclusion provides a reflection on the potential that this kind of approach may have in promoting social inclusion processes and supporting active citizenship among all individuals both directly and indirectly involved in the association's activities.."
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 = [2];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs11843 | 10.33788/rcis.68.5 | The Potentials of Digital Collaborative Platforms for the Innovation of Refugees' Reception Strategies | The article presents a reflection on the possibilities that the information technologies and new apps developed in the context of the sharing economy may have in the processes of receiving refugees. In recent years, the narrative of migratory phenomena has emphasised the idea of an out of control emergency, negatively affecting the ability to imagine constructive answers to arising situations. After a review of definitions, numbers and reception practices in Italy, the article focuses on the inclusive models made possible by using digital collaborative platforms. The case of Refugees Welcome, an association that uses an online platform to connect people offering a room with refugees looking for a place in which to live is analysed in order to better understand its working model, using a mix of qualitative and quantitative data. The conclusion provides a reflection on the potential that this kind of approach may have in promoting social inclusion processes and supporting active citizenship among all individuals both directly and indirectly involved in the association's activities. |
<|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:"Asylum Seeking, Border Security, Hope."
Abstract:"Asylum seeking galvanises brutal state responses. The challenge of confronting the brutality of border security is understanding the elusive interlocking of knowledge and power that normalises technologies of securitisation, detention, and defiance of international conventions. In this paper we employ Marxist philosopher Ernest Bloch to interrogate the temporal horizon of border security discourse revealing the act of asylum seeking as a form of activism threatening breakthrough to an alternative future. In this analysis we expose discourses, such as Australia's Operation Sovereign Borders, as formations marked by temporal closure as much as by a specific imbrication of knowledge and power. Drawing on nine vignettes, we discern opposing versions of hope as people seeking asylum, politicians, activists, practitioners, and Australian citizens are enrolled into the diffuse and multifaceted global response to asylum seeking. We demonstrate differing temporalities distinguishing and advocating the overwhelming vision of hope in the act of asylum seeking itself.."
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 = [2];
Q4 = [0];
Q5 = [1];
Q6 = [0]. | abs09871 | 10.1111/anti.12756 | Asylum Seeking, Border Security, Hope | Asylum seeking galvanises brutal state responses. The challenge of confronting the brutality of border security is understanding the elusive interlocking of knowledge and power that normalises technologies of securitisation, detention, and defiance of international conventions. In this paper we employ Marxist philosopher Ernest Bloch to interrogate the temporal horizon of border security discourse revealing the act of asylum seeking as a form of activism threatening breakthrough to an alternative future. In this analysis we expose discourses, such as Australia's Operation Sovereign Borders, as formations marked by temporal closure as much as by a specific imbrication of knowledge and power. Drawing on nine vignettes, we discern opposing versions of hope as people seeking asylum, politicians, activists, practitioners, and Australian citizens are enrolled into the diffuse and multifaceted global response to asylum seeking. We demonstrate differing temporalities distinguishing and advocating the overwhelming vision of hope in the act of asylum seeking itself. |
<|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:"Transnational moralities: the politics of ir/responsibility of and against the EU border regime."
Abstract:"The death of Alan Kurdi, the boy washed ashore in Turkey in September 2015, provoked a global moral outcry. The pictures of the toddler went viral across social networks and in the media. Following these images across borders, we analyse moral and political responses to the EU refugee crisis' by illuminating the circumstances under which people feel, take on, and demand responsibility. Considering EU policies and their lethal consequences as mechanisms of an organised irresponsibility, we show how the circulation and modification of the images played on moral sentiments and on political demands in Europe and across the Mediterranean. The anthropological engagement with transnational moralities contributes to the analysis of politics of ir/responsibility of and against the EU border regime.."
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 = [1];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs13298 | 10.1080/1070289X.2018.1507979 | Transnational moralities: the politics of ir/responsibility of and against the EU border regime | The death of Alan Kurdi, the boy washed ashore in Turkey in September 2015, provoked a global moral outcry. The pictures of the toddler went viral across social networks and in the media. Following these images across borders, we analyse moral and political responses to the EU refugee crisis' by illuminating the circumstances under which people feel, take on, and demand responsibility. Considering EU policies and their lethal consequences as mechanisms of an organised irresponsibility, we show how the circulation and modification of the images played on moral sentiments and on political demands in Europe and across the Mediterranean. The anthropological engagement with transnational moralities contributes to the analysis of politics of ir/responsibility of and against the EU border regime. |
<|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 right to have rights of undocumented migrants: inadequacy and rigidity of legal categories of migrants and minorities in international law of human rights."
Abstract:"This article engages with the legal and political discourses aiming to respond to the increasing presence of undocumented migrants in the European Union. It focuses on legal consequences of the discursive framing often portraying undocumented migrants as a group 'unworthy of social, economic, and political rights' as opposed to those considered genuine refugees. The article explores the opening brought by the group approach to undocumented migrants and asks whether such a group perspective could be used as a basis for recognition of group-based rights of undocumented migrants. With reference to Jacques Ranciere's conception of dissensus the article discusses the arbitrariness, inadequacy and historical contingency of legal categories of migrants and minorities in international human rights law and focuses on the existing openings in the minority protection standards in international and regional instruments. These include the strong non-discrimination focus of minority protection; the ongoing process of broadening of the minority protection encompassing also non-citizens; and the alternative theories of minority protection. Such an approach allows for experimenting with existing legal categories approaching the rights of undocumented migrants from the minority protection perspective, revealing their rigidity and dependence on the nation-state 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 = [1];
Q2 = [5];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs11917 | 10.1080/13642987.2020.1716740 | The right to have rights of undocumented migrants: inadequacy and rigidity of legal categories of migrants and minorities in international law of human rights | This article engages with the legal and political discourses aiming to respond to the increasing presence of undocumented migrants in the European Union. It focuses on legal consequences of the discursive framing often portraying undocumented migrants as a group 'unworthy of social, economic, and political rights' as opposed to those considered genuine refugees. The article explores the opening brought by the group approach to undocumented migrants and asks whether such a group perspective could be used as a basis for recognition of group-based rights of undocumented migrants. With reference to Jacques Ranciere's conception of dissensus the article discusses the arbitrariness, inadequacy and historical contingency of legal categories of migrants and minorities in international human rights law and focuses on the existing openings in the minority protection standards in international and regional instruments. These include the strong non-discrimination focus of minority protection; the ongoing process of broadening of the minority protection encompassing also non-citizens; and the alternative theories of minority protection. Such an approach allows for experimenting with existing legal categories approaching the rights of undocumented migrants from the minority protection perspective, revealing their rigidity and dependence on the nation-state 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:"Mapping of functional areas in Spain based on mobile phone data during different phases of the COVID-19 pandemic."
Abstract:"Mobility functional areas are tools based on human mobility that can be useful for spatial and transport planning in delicate situations such as the COVID-19 pandemic. In this work, we aim to map functional areas in Spain from four days corresponding to different phases of the disease. For that goal, mobile phone data provided by Spanish Statistical National Institute (INE) has been used due to its value and potential to provide constantly updated information of mobility at almost-real time. The methodology consists of a network analysis over an origin-destination matrix to obtain modularity values for 3214 population cells provided by the INE. These values were then used to cluster the cells into functional areas. The results show how different confinement and mobility restriction policies influence the amount, size and shape of the functional areas, and therefore, they affect access to services or jobs.."
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]. | abs10485 | 10.1080/17445647.2023.2214804 | Mapping of functional areas in Spain based on mobile phone data during different phases of the COVID-19 pandemic | Mobility functional areas are tools based on human mobility that can be useful for spatial and transport planning in delicate situations such as the COVID-19 pandemic. In this work, we aim to map functional areas in Spain from four days corresponding to different phases of the disease. For that goal, mobile phone data provided by Spanish Statistical National Institute (INE) has been used due to its value and potential to provide constantly updated information of mobility at almost-real time. The methodology consists of a network analysis over an origin-destination matrix to obtain modularity values for 3214 population cells provided by the INE. These values were then used to cluster the cells into functional areas. The results show how different confinement and mobility restriction policies influence the amount, size and shape of the functional areas, and therefore, they affect access to services or jobs. |
<|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:"Humanitarian spectacles from below: A study of social connections in unsettled contexts."
Abstract:"Humanitarian actors struggle to protect refugees from the violence of war, but critics argue that they often succeed in nothing more than segregating the displaced and turning their hardships into global public spectacles. This article narrows and refines these criticisms of contemporary humanitarian action by examining humanitarian spectacles at a local level in an ethnography of the Buduburam Refugee Camp, a predominantly Liberian refugee camp in Ghana, West Africa. It is clear from this vantage point that disenfranchisement and bureaucratic intransigence deeply constrained camp life. But the public spectacles we examine also highlight the unexpected persistence of civic life and the depth of social connections between camp residents themselves; between refugees and humanitarians; and between refugees and their hosts. By making the homogeneous, distant concept of humanitarian spectacle into a heterogeneous concept with local dimensions, we are able to capture more of the experiences of people who live in unsettled contexts. This argument contributes to research on refugees and humanitarianism by drawing attention to the interconnected social world of the refugee camp. It also contributes to research on public spectacles by casting these spectacles as neither a pure expression of distance nor empowerment, but rather an easily sullied form of civic life.."
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 = [];
Q6 = [0]. | abs15059 | 10.1177/1466138114562310 | Humanitarian spectacles from below: A study of social connections in unsettled contexts | Humanitarian actors struggle to protect refugees from the violence of war, but critics argue that they often succeed in nothing more than segregating the displaced and turning their hardships into global public spectacles. This article narrows and refines these criticisms of contemporary humanitarian action by examining humanitarian spectacles at a local level in an ethnography of the Buduburam Refugee Camp, a predominantly Liberian refugee camp in Ghana, West Africa. It is clear from this vantage point that disenfranchisement and bureaucratic intransigence deeply constrained camp life. But the public spectacles we examine also highlight the unexpected persistence of civic life and the depth of social connections between camp residents themselves; between refugees and humanitarians; and between refugees and their hosts. By making the homogeneous, distant concept of humanitarian spectacle into a heterogeneous concept with local dimensions, we are able to capture more of the experiences of people who live in unsettled contexts. This argument contributes to research on refugees and humanitarianism by drawing attention to the interconnected social world of the refugee camp. It also contributes to research on public spectacles by casting these spectacles as neither a pure expression of distance nor empowerment, but rather an easily sullied form of civic life. |
<|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 HLA genes and haplotypes in Ainu (from Hokkaido, northern Japan) supports the premise that they descent from Upper Paleolithic populations of East Asia."
Abstract:"The Ainu people are assumed to Ix the descendants of pre-agricultural native populations of northern Japan, while the majority of population of present-day Japan (Hondo.Japanese) is considered to have descended mainly from post-neolithic migrants. Sequence-level polymorphisms of the HLA-class I (HLA-A and HLA-B) genes were investigated in DNA samples of 50 Ainu living in Hidaka district, Hokkaido. HLA-A*2402, A*0201, A*0206. A*2601, A*3101. B*1501, B*5101, B*3901, and B*3501 were observed at frequencies of more than 10% and most of these have previously been found in populations of not only Asians but also North and South American Indians. A*68012 which has not so far been detected in Hondo-Japanese, was found in the Ainu (3%). On the other hand, several alleles common in Hondo-Japanese. including HLA-A*3303, A*1101, B*4403, B*5201, B*5401, B*4601, and B*0702 were infrequent in Ainu (0-1%). Correspondence and neighbor-joining analyses of various populations based on HLA-A, -B and -DRB1 gene frequencies enabled distinction between Asian, Native South American, European, and African populations. The Ainu, as well as Tlingit (Na-Dene), were placed midway between other East Asians. including Hondo Japanese. and Native South Americans (Americans) in the correspondence analysis. Furthermore, several HLA-A-B and HLA-B DR-DQ haplotypes common in the Ainu, are shared with some Native American populations. These observations strongly suggest a unique place for the Ainu as descendants of some Upper Paleolithic populations of East Asia, from whom some Native Americans may have descended.."
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 = [2];
Q4 = [0];
Q5 = [];
Q6 = [1]. | abs04954 | 10.1034/j.1399-0039.2000.550204.x | Analysis of HLA genes and haplotypes in Ainu (from Hokkaido, northern Japan) supports the premise that they descent from Upper Paleolithic populations of East Asia | The Ainu people are assumed to Ix the descendants of pre-agricultural native populations of northern Japan, while the majority of population of present-day Japan (Hondo.Japanese) is considered to have descended mainly from post-neolithic migrants. Sequence-level polymorphisms of the HLA-class I (HLA-A and HLA-B) genes were investigated in DNA samples of 50 Ainu living in Hidaka district, Hokkaido. HLA-A*2402, A*0201, A*0206. A*2601, A*3101. B*1501, B*5101, B*3901, and B*3501 were observed at frequencies of more than 10% and most of these have previously been found in populations of not only Asians but also North and South American Indians. A*68012 which has not so far been detected in Hondo-Japanese, was found in the Ainu (3%). On the other hand, several alleles common in Hondo-Japanese. including HLA-A*3303, A*1101, B*4403, B*5201, B*5401, B*4601, and B*0702 were infrequent in Ainu (0-1%). Correspondence and neighbor-joining analyses of various populations based on HLA-A, -B and -DRB1 gene frequencies enabled distinction between Asian, Native South American, European, and African populations. The Ainu, as well as Tlingit (Na-Dene), were placed midway between other East Asians. including Hondo Japanese. and Native South Americans (Americans) in the correspondence analysis. Furthermore, several HLA-A-B and HLA-B DR-DQ haplotypes common in the Ainu, are shared with some Native American populations. These observations strongly suggest a unique place for the Ainu as descendants of some Upper Paleolithic populations of East Asia, from whom some Native Americans may have descended. |
<|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:"Human Mobility Analysis for Extracting Local Interactions under Rapid Socio-Economic Transformation in Dawei, Myanmar."
Abstract:"Understanding human mobility patterns provides knowledge about impacts of a socio-economic transformation in a rapidly urbanizing environment. This study assesses a long-term mobility data which uses a face-to-face questionnaire and GPS logger-based method of data collection for extracting socio-economic impacts from the rapid transformation. Conversion of mobility related information such as travel distance, direction, and time from the questionnaire survey into spatiotemporal information was carried out by developing an algorithm. To illustrate the proposed approach, a case study in Dawei Special Economic Zone, Myanmar was conducted. The results show that the questionnaire-based mobility data can be associated with GPS-based mobility data and diverse mobility patterns are found for different social groups in the stage of urban formation. The results enabled an understanding of the human dynamics in interactions, which can be used for monitoring rural sustainability and its challenges in the future with the background of the accelerated project development in the area.."
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 = [2];
Q4 = [0];
Q5 = [];
Q6 = [1]. | abs10272 | 10.3390/su9091598 | Human Mobility Analysis for Extracting Local Interactions under Rapid Socio-Economic Transformation in Dawei, Myanmar | Understanding human mobility patterns provides knowledge about impacts of a socio-economic transformation in a rapidly urbanizing environment. This study assesses a long-term mobility data which uses a face-to-face questionnaire and GPS logger-based method of data collection for extracting socio-economic impacts from the rapid transformation. Conversion of mobility related information such as travel distance, direction, and time from the questionnaire survey into spatiotemporal information was carried out by developing an algorithm. To illustrate the proposed approach, a case study in Dawei Special Economic Zone, Myanmar was conducted. The results show that the questionnaire-based mobility data can be associated with GPS-based mobility data and diverse mobility patterns are found for different social groups in the stage of urban formation. The results enabled an understanding of the human dynamics in interactions, which can be used for monitoring rural sustainability and its challenges in the future with the background of the accelerated project development in the area. |
<|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 Region-Wide Functions Using Urban Taxicab Trajectories."
Abstract:"With the urban development and enlargement, various regions such as residential zones and administrative districts now appear as parts of cities. People exhibit different mobility patterns in each region, which is closely relevant to region-wide functions. In this article, we propose a scheme to discover region-wide functions using large-scale Shanghai taxicab trajectories that capture enormous traces for more than 13,000 taxicabs over a period of about 3 years. We investigate these taxicab trajectories and conduct an extensive preliminary study. Then, we divide the city into disjointed regions using Voronoi decomposition. By incorporating people's pick-up and drop-off information, we refine the Voronoi partitioning results to identify region-wide functional areas. Finally, we study people's movement frequency on weekdays and weekends for every kind of urban functional regions. We also look into human mobility within or across the identified urban functional regions. Experimental results show that human movement is bounded with the function of urban regions, and more than 90% of people visit neighboring (less than 20km travel distance) functional regions with high probability.."
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]. | abs17224 | 10.1145/2821507 | Identifying Region-Wide Functions Using Urban Taxicab Trajectories | With the urban development and enlargement, various regions such as residential zones and administrative districts now appear as parts of cities. People exhibit different mobility patterns in each region, which is closely relevant to region-wide functions. In this article, we propose a scheme to discover region-wide functions using large-scale Shanghai taxicab trajectories that capture enormous traces for more than 13,000 taxicabs over a period of about 3 years. We investigate these taxicab trajectories and conduct an extensive preliminary study. Then, we divide the city into disjointed regions using Voronoi decomposition. By incorporating people's pick-up and drop-off information, we refine the Voronoi partitioning results to identify region-wide functional areas. Finally, we study people's movement frequency on weekdays and weekends for every kind of urban functional regions. We also look into human mobility within or across the identified urban functional regions. Experimental results show that human movement is bounded with the function of urban regions, and more than 90% of people visit neighboring (less than 20km travel distance) functional regions with high probability. |
<|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:"Psychological Symptoms as Long-Term Consequences of War Experiences."
Abstract:"Background/Aims: War experiences can affect mental health, but large-scale studies on the long-term impact are rare. We aimed to assess long-term mental health consequences of war in both people who stayed in the conflict area and refugees. Method: On average 8 years after the war in former Yugoslavia, participants were recruited by probabilistic sampling in 5 Balkan countries and by registers and networking in 3 Western European countries. General psychological symptoms were assessed on the Brief Symptom Inventory and posttraumatic stress symptoms on the Impact of Event Scale-Revised. Results: We assessed 3,313 interviewees in the Balkans and 854 refugees. Paranoid ideation and anxiety were the severest psychological symptoms in both samples. In multivariable regressions, older age, various specific war experiences and more traumatic experiences after the war were all associated with higher levels of both general psychological and posttraumatic stress symptoms in both samples. Additionally, a greater number of migration stressors and having only temporary legal status in the host country were associated with greater severity of symptoms in refugees. Conclusions: Psychological symptoms remain high in war-affected populations many years after the war, and this is particularly evident for refugees. Traumatic war experiences still predict higher symptom levels even when the findings have been adjusted for the influence of other factors. Copyright (C) 2012 S. Karger AG, Basel."
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]. | abs21377 | 10.1159/000338640 | Psychological Symptoms as Long-Term Consequences of War Experiences | Background/Aims: War experiences can affect mental health, but large-scale studies on the long-term impact are rare. We aimed to assess long-term mental health consequences of war in both people who stayed in the conflict area and refugees. Method: On average 8 years after the war in former Yugoslavia, participants were recruited by probabilistic sampling in 5 Balkan countries and by registers and networking in 3 Western European countries. General psychological symptoms were assessed on the Brief Symptom Inventory and posttraumatic stress symptoms on the Impact of Event Scale-Revised. Results: We assessed 3,313 interviewees in the Balkans and 854 refugees. Paranoid ideation and anxiety were the severest psychological symptoms in both samples. In multivariable regressions, older age, various specific war experiences and more traumatic experiences after the war were all associated with higher levels of both general psychological and posttraumatic stress symptoms in both samples. Additionally, a greater number of migration stressors and having only temporary legal status in the host country were associated with greater severity of symptoms in refugees. Conclusions: Psychological symptoms remain high in war-affected populations many years after the war, and this is particularly evident for refugees. Traumatic war experiences still predict higher symptom levels even when the findings have been adjusted for the influence of other factors. Copyright (C) 2012 S. Karger AG, Basel |
<|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:"MAKING THEIR LIVES MISERABLE: STRUCTURAL VIOLENCE AND STATE RACISM TOWARDS ASYLUM SEEKERS FROM SUDAN AND ERITREA IN ISRAEL."
Abstract:"This article examines state racism and structural violence inflicted upon Eritrean and Sudanese asylum seekers in Israel by surveying various exclusionary policies and their harmful effects. It situates exclusionary state practices of migration control in Israel's racialized social dynamics, contextualized in Israel's origins as a settler society and subsequent national ordering. Israel's treatment of African asylum seekers is conceptualized as structural violence through an examination of unnecessary, preventable, or avoidable harms that were differentially inflicted upon this distinct, racialized migrant group both directly and indirectly. Claims in the article are based on ethnographic research conducted with asylum seekers who had been detained in Israel's Holot detention facility. In contrast to Israel's purported adherence to international commitments to human rights, including asylum protections, understanding asylum seekers' destitution through the lens of structural violence enables us to place the onus and responsibility for human suffering upon the 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:
Q1 = [1];
Q2 = [4,5,6];
Q3 = [1];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs09453 | 10.13169/statecrime.11.1.0128 | MAKING THEIR LIVES MISERABLE: STRUCTURAL VIOLENCE AND STATE RACISM TOWARDS ASYLUM SEEKERS FROM SUDAN AND ERITREA IN ISRAEL | This article examines state racism and structural violence inflicted upon Eritrean and Sudanese asylum seekers in Israel by surveying various exclusionary policies and their harmful effects. It situates exclusionary state practices of migration control in Israel's racialized social dynamics, contextualized in Israel's origins as a settler society and subsequent national ordering. Israel's treatment of African asylum seekers is conceptualized as structural violence through an examination of unnecessary, preventable, or avoidable harms that were differentially inflicted upon this distinct, racialized migrant group both directly and indirectly. Claims in the article are based on ethnographic research conducted with asylum seekers who had been detained in Israel's Holot detention facility. In contrast to Israel's purported adherence to international commitments to human rights, including asylum protections, understanding asylum seekers' destitution through the lens of structural violence enables us to place the onus and responsibility for human suffering upon the 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:"An outbreak of measles in Tanzanian refugee camps."
Abstract:"From March 2000 to May 2001, four camps in Kibondo District, Tanzania, hosting refugees from Burundi reported 1062 cases of measles, a highly infectious and potentially lethal disease. Of 1062 case-patients, 225 (21%) were <9 months old, 286 (27%) were 9 months to 5 years, 324 (31%) were 6-15 years, and 227 ( 21%) were >= 16 years old. No deaths were reported. Although, in accordance with Sphere Project guidelines for humanitarian emergencies, camp policy was to vaccinate all new arrivals aged 6 months to 15 years against measles, 152 (72%) of 210 newly arrived refugees in this age group were unvaccinated; 143 (94%) of the 152 had lived in the camp >= 1 month before rash onset. This investigation supports Sphere Project recommendations for wide age group vaccination and suggests that in some circumstances vaccination of refugees >15 years old may be beneficial.."
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 = [3];
Q5 = [0];
Q6 = [1]. | abs17812 | 10.1086/368057 | An outbreak of measles in Tanzanian refugee camps | From March 2000 to May 2001, four camps in Kibondo District, Tanzania, hosting refugees from Burundi reported 1062 cases of measles, a highly infectious and potentially lethal disease. Of 1062 case-patients, 225 (21%) were <9 months old, 286 (27%) were 9 months to 5 years, 324 (31%) were 6-15 years, and 227 ( 21%) were >= 16 years old. No deaths were reported. Although, in accordance with Sphere Project guidelines for humanitarian emergencies, camp policy was to vaccinate all new arrivals aged 6 months to 15 years against measles, 152 (72%) of 210 newly arrived refugees in this age group were unvaccinated; 143 (94%) of the 152 had lived in the camp >= 1 month before rash onset. This investigation supports Sphere Project recommendations for wide age group vaccination and suggests that in some circumstances vaccination of refugees >15 years old may be beneficial. |
<|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 psychosocial support for South Sudanese refugees in northern Uganda: a needs and resource assessment."
Abstract:"Background: Since December 2013, an armed conflict in South Sudan has resulted in the displacement of over 2.2 million people, more than 270,000 of whom are presently in refugee settlements located throughout Uganda. Existing literature suggests that refugees are at increased risk for a range of mental health and psychosocial problems. There is international consensus on the importance of needs and resource assessments to inform potential mental health and psychosocial support (MHPSS) interventions. Methods: We conducted a MHPSS needs and resource assessment in Rhino Camp refugee settlement in northern Uganda, between June and August 2014. We followed World Health Organization (WHO) and United Nations High Commissioner for Refugees (UNHCR) guidelines for MHPSS needs assessments in humanitarian settings. The assessment used a range of methodologies including: 1) a desk (literature) review to understand the context for mental health service provision; 2) an analysis of data from existing health information systems (HIS); 3) an assessment of the current infrastructure for service provision using a shortened version of a Who does What Where until When (4Ws); and 4) semi-structured individual and group interviews (total n = 86) with key informants (n = 13) and general community members (individual interviews n = 28, four focus groups with n = 45). Results: Data from the HIS indicated that visits to health centers in refugee settlements attributable to psychotic disorders, severe emotional disorders, and other psychological complaints increased following the refugee influx between 2013 and 2014, but overall help-seeking from health centers was low compared to estimates from epidemiological studies. In semi-structured interviews the three highest ranked mental health and psychosocial problems included overthinking, ethnic conflict, and child abuse. Other concerns included family separation, drug abuse, poverty, and unaccompanied minors. The 4Ws assessment revealed that there were very limited MHPSS services available in Rhino Camp. Conclusions: The types of MHPSS problems among South Sudanese refugees in northern Uganda are diverse and the burden appears to be considerable, yet there are currently few available services. The assessment indicates the need for a range of services addressing social concerns as well as varied types of mental conditions. The idiom of overthinking may form a useful starting point for intervention development and mental health communication.."
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 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs14754 | 10.1186/s13031-016-0085-6 | Mental health and psychosocial support for South Sudanese refugees in northern Uganda: a needs and resource assessment | Background: Since December 2013, an armed conflict in South Sudan has resulted in the displacement of over 2.2 million people, more than 270,000 of whom are presently in refugee settlements located throughout Uganda. Existing literature suggests that refugees are at increased risk for a range of mental health and psychosocial problems. There is international consensus on the importance of needs and resource assessments to inform potential mental health and psychosocial support (MHPSS) interventions. Methods: We conducted a MHPSS needs and resource assessment in Rhino Camp refugee settlement in northern Uganda, between June and August 2014. We followed World Health Organization (WHO) and United Nations High Commissioner for Refugees (UNHCR) guidelines for MHPSS needs assessments in humanitarian settings. The assessment used a range of methodologies including: 1) a desk (literature) review to understand the context for mental health service provision; 2) an analysis of data from existing health information systems (HIS); 3) an assessment of the current infrastructure for service provision using a shortened version of a Who does What Where until When (4Ws); and 4) semi-structured individual and group interviews (total n = 86) with key informants (n = 13) and general community members (individual interviews n = 28, four focus groups with n = 45). Results: Data from the HIS indicated that visits to health centers in refugee settlements attributable to psychotic disorders, severe emotional disorders, and other psychological complaints increased following the refugee influx between 2013 and 2014, but overall help-seeking from health centers was low compared to estimates from epidemiological studies. In semi-structured interviews the three highest ranked mental health and psychosocial problems included overthinking, ethnic conflict, and child abuse. Other concerns included family separation, drug abuse, poverty, and unaccompanied minors. The 4Ws assessment revealed that there were very limited MHPSS services available in Rhino Camp. Conclusions: The types of MHPSS problems among South Sudanese refugees in northern Uganda are diverse and the burden appears to be considerable, yet there are currently few available services. The assessment indicates the need for a range of services addressing social concerns as well as varied types of mental conditions. The idiom of overthinking may form a useful starting point for intervention development and mental health communication. |
<|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:"Stories as Life Performances: Humanizing Research as Honoring, Respecting, Listening to, and Learning With Children, Youth, and Families From Refugee Backgrounds."
Abstract:"In this personal perspective piece, I share my own refugee background and experiences, as well as stories about myself in the research context, in juxtaposition with stories about children, youth, and families from refugee backgrounds with whom I interacted as a volunteer tutor and researcher in an afterschool program. Drawing on San Pedro and Kinloch and Lee's notions of humanizing research, I illuminate my work in an educational setting as honoring, respecting, listening to, and learning with study participants. In creating and sustaining relationships of care and dignity in an afterschool program, I extended and reinvigorated languages, cultures, and stories with children, youth, and families from refugee backgrounds.."
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 = [2];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs12058 | 10.1080/15210960.2020.1845177 | Stories as Life Performances: Humanizing Research as Honoring, Respecting, Listening to, and Learning With Children, Youth, and Families From Refugee Backgrounds | In this personal perspective piece, I share my own refugee background and experiences, as well as stories about myself in the research context, in juxtaposition with stories about children, youth, and families from refugee backgrounds with whom I interacted as a volunteer tutor and researcher in an afterschool program. Drawing on San Pedro and Kinloch and Lee's notions of humanizing research, I illuminate my work in an educational setting as honoring, respecting, listening to, and learning with study participants. In creating and sustaining relationships of care and dignity in an afterschool program, I extended and reinvigorated languages, cultures, and stories with children, youth, and families from refugee backgrounds. |
<|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 ROLE OF PHYSICIANS IN CONFLICTS AND HUMANITARIAN CRISES - CASE-STUDIES FROM THE FIELD MISSIONS OF PHYSICIANS-FOR-HUMAN-RIGHTS, 1988 TO 1993."
Abstract:"Violations of human rights in wars, civil conflicts, and brutal repression mounted by governments against their own citizens often have profound consequences to individual and public health and may, in turn, produce humanitarian crises. The skills of physicians, medical and forensic scientists, and other health workers are uniquely valuable in human rights investigations and documentation, producing evidence of abuse more credible and less vulnerable to challenge than traditional methods of case reporting. Only in recent decades, however, have physicians organized specifically to meet this responsibility. This article presents case studies from the field missions of Physicians for Human Rights to illustrate the investigation and documentation of violations of medical neutrality, refugee health crises, the use of indiscriminate weapons, torture, deliberate injury and rape, and mass executions. Participation of health workers in the defense of human rights now includes investigation and documentation of health effects in threatened populations as well as individual victims.."
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]. | abs18112 | gen.1993.75221950 | THE ROLE OF PHYSICIANS IN CONFLICTS AND HUMANITARIAN CRISES - CASE-STUDIES FROM THE FIELD MISSIONS OF PHYSICIANS-FOR-HUMAN-RIGHTS, 1988 TO 1993 | Violations of human rights in wars, civil conflicts, and brutal repression mounted by governments against their own citizens often have profound consequences to individual and public health and may, in turn, produce humanitarian crises. The skills of physicians, medical and forensic scientists, and other health workers are uniquely valuable in human rights investigations and documentation, producing evidence of abuse more credible and less vulnerable to challenge than traditional methods of case reporting. Only in recent decades, however, have physicians organized specifically to meet this responsibility. This article presents case studies from the field missions of Physicians for Human Rights to illustrate the investigation and documentation of violations of medical neutrality, refugee health crises, the use of indiscriminate weapons, torture, deliberate injury and rape, and mass executions. Participation of health workers in the defense of human rights now includes investigation and documentation of health effects in threatened populations as well as individual victims. |
<|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:"Political Nationalism and Attitudes towards Immigration: The Interaction of Knowledge and Policy."
Abstract:"The issue of immigration is highly salient to citizens of industrialised democracies. Globalisation and the emergence of an international human rights regime, among other reasons, led to high levels of immigration to industrialised countries in recent decades. Immigrant-receiving states have shown only limited ability to control the size and composition of their immigrant population. Immigration has therefore emerged as a prominent political issue in practically all economically developed countries, and there are raising concerns over anti-immigration sentiments and nationalist tendencies that seem to be taking hold among modern publics. We argue that anti-immigration attitudes are not merely a response to increased immigration, but rather that these attitudes mirror governments' nationalistic and anti-immigration stance. In addition, people who are interested in politics are expected to be more influenced by their governments' policies than those who show less interest. We use data from the European Social Survey and the Comparative Manifesto Project to test these claims. Results from our multilevel models show that people living in countries where the government is right wing are more opposed to immigration than people living in countries where the government exhibits less right-wing tendencies. The effect of government policy positions is also found to be conditioned by political interest at the individual level.."
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 = [1]. | abs03886 | 10.1163/157181112X639041 | Political Nationalism and Attitudes towards Immigration: The Interaction of Knowledge and Policy | The issue of immigration is highly salient to citizens of industrialised democracies. Globalisation and the emergence of an international human rights regime, among other reasons, led to high levels of immigration to industrialised countries in recent decades. Immigrant-receiving states have shown only limited ability to control the size and composition of their immigrant population. Immigration has therefore emerged as a prominent political issue in practically all economically developed countries, and there are raising concerns over anti-immigration sentiments and nationalist tendencies that seem to be taking hold among modern publics. We argue that anti-immigration attitudes are not merely a response to increased immigration, but rather that these attitudes mirror governments' nationalistic and anti-immigration stance. In addition, people who are interested in politics are expected to be more influenced by their governments' policies than those who show less interest. We use data from the European Social Survey and the Comparative Manifesto Project to test these claims. Results from our multilevel models show that people living in countries where the government is right wing are more opposed to immigration than people living in countries where the government exhibits less right-wing tendencies. The effect of government policy positions is also found to be conditioned by political interest at the individual level. |
<|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:"INCIDENCE OF PSYCHOTIC ILLNESS IN LONDON - COMPARISON OF ETHNIC-GROUPS."
Abstract:"Objective-To compare annual incidences of psychosis in people from different ethnic groups as defined in the 1991 census. Setting-Catchment area of district psychiatric hospital. Design-All people aged 16 to 54 years who made contact with a wide range of community and hospital services between 1 July 1991 and 30 June 1992 were screened for psychotic symptoms. Patients with such symptoms were interviewed face to face to collect information on demography, ethnic group, psychiatric history and symptoms, drug use, and how care had been sought. A key informant, usually a close relative, was also interviewed. Main outcome measures-Age standardised incidence of schizophrenia and non-affective psychosis according to the ninth edition of the International Classification of Diseases in each ethnic group. Results-Ninety three patients took part, of whom 38 were assigned a certain or very likely diagnosis of schizophrenia (15 in white population, 14 in black, seven in Asian, and two in others). The age standardised annual incidence of schizophrenia was 2.2 (95% confidence interval 1.5 to 2.9) per 10 000 of the population. The incidence ratio for schizophrenia in all ethnic minority groups compared with the white population was 3.6 (1.9 to 7.1); the corresponding figure for non-affective psychosis was 3.7 (2.2 to 6.2). Conclusions-Raised incidences of schizophrenia were not specific to the African Caribbeans, which suggests that the current focus on schizophrenia in this population is misleading. Members of all ethnic minority groups were more likely to develop a psychosis but not necessarily schizophrenia. The personal and social pressures of belonging to any ethnic minority group in Britain are important determinants in the excess of psychotic disorders found.."
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 = [1]. | abs05148 | 10.1136/bmj.309.6962.1115 | INCIDENCE OF PSYCHOTIC ILLNESS IN LONDON - COMPARISON OF ETHNIC-GROUPS | Objective-To compare annual incidences of psychosis in people from different ethnic groups as defined in the 1991 census. Setting-Catchment area of district psychiatric hospital. Design-All people aged 16 to 54 years who made contact with a wide range of community and hospital services between 1 July 1991 and 30 June 1992 were screened for psychotic symptoms. Patients with such symptoms were interviewed face to face to collect information on demography, ethnic group, psychiatric history and symptoms, drug use, and how care had been sought. A key informant, usually a close relative, was also interviewed. Main outcome measures-Age standardised incidence of schizophrenia and non-affective psychosis according to the ninth edition of the International Classification of Diseases in each ethnic group. Results-Ninety three patients took part, of whom 38 were assigned a certain or very likely diagnosis of schizophrenia (15 in white population, 14 in black, seven in Asian, and two in others). The age standardised annual incidence of schizophrenia was 2.2 (95% confidence interval 1.5 to 2.9) per 10 000 of the population. The incidence ratio for schizophrenia in all ethnic minority groups compared with the white population was 3.6 (1.9 to 7.1); the corresponding figure for non-affective psychosis was 3.7 (2.2 to 6.2). Conclusions-Raised incidences of schizophrenia were not specific to the African Caribbeans, which suggests that the current focus on schizophrenia in this population is misleading. Members of all ethnic minority groups were more likely to develop a psychosis but not necessarily schizophrenia. The personal and social pressures of belonging to any ethnic minority group in Britain are important determinants in the excess of psychotic disorders found. |
<|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:"Effect of screening and lifestyle counselling on incidence of ischaemic heart disease in general population: Inter99 randomised trial."
Abstract:"Objective To investigate the effect of systematic screening for risk factors for ischaemic heart disease followed by repeated lifestyle counselling on the 10 year development of ischaemic heart disease at a population level. Design Randomised controlled community based trial. Setting Suburbs of Copenhagen, Denmark Participants 59 616 people aged 30-60 years randomised with different age and sex randomisation ratios to an intervention group (n=11 629) and a control group (n=47 987). Intervention The intervention group was invited for screening, risk assessment, and lifestyle counselling up to four times over a five year period. All participants with an unhealthy lifestyle had individually tailored lifestyle counselling at all visits (at baseline and after one and three years); those at high risk of ischaemic heart disease, according to predefined criteria, were furthermore offered six sessions of group based lifestyle counselling on smoking cessation, diet, and physical activity. After five years all were invited for a final counselling session. Participants were referred to their general practitioner for medical treatment, if relevant. The control group was not invited for screening. Main outcome measures The primary outcome measure was incidence of ischaemic heart disease in the intervention group compared with the control group. Secondary outcome measures were stroke, combined events (ischaemic heart disease, stroke, or both), and mortality. Results 6091 (52.4%) people in the intervention group participated at baseline. Among 5978 people eligible at five year follow-up (59 died and 54 emigrated), 4028 (67.4%) attended. A total of 3163 people died in the 10 year follow-up period. Among 58 308 without a history of ischaemic heart disease at baseline, 2782 developed ischaemic heart disease. Among 58 940 without a history of stroke at baseline, 1726 developed stroke. No significant difference was seen between the intervention and control groups in the primary end point (hazard ratio for ischaemic heart disease 1.03, 95% confidence interval 0.94 to 1.13) or in the secondary endpoints (stroke 0.98, 0.87 to 1.11; combined endpoint 1.01, 0.93 to 1.09; total mortality 1.00, 0.91 to 1.09). Conclusion A community based, individually tailored intervention programme with screening for risk of ischaemic heart disease and repeated lifestyle intervention over five years had no effect on ischaemic heart disease, stroke, or mortality at the population level after 10 years.."
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 = [1]. | abs03337 | 10.1136/bmj.g3617 | Effect of screening and lifestyle counselling on incidence of ischaemic heart disease in general population: Inter99 randomised trial | Objective To investigate the effect of systematic screening for risk factors for ischaemic heart disease followed by repeated lifestyle counselling on the 10 year development of ischaemic heart disease at a population level. Design Randomised controlled community based trial. Setting Suburbs of Copenhagen, Denmark Participants 59 616 people aged 30-60 years randomised with different age and sex randomisation ratios to an intervention group (n=11 629) and a control group (n=47 987). Intervention The intervention group was invited for screening, risk assessment, and lifestyle counselling up to four times over a five year period. All participants with an unhealthy lifestyle had individually tailored lifestyle counselling at all visits (at baseline and after one and three years); those at high risk of ischaemic heart disease, according to predefined criteria, were furthermore offered six sessions of group based lifestyle counselling on smoking cessation, diet, and physical activity. After five years all were invited for a final counselling session. Participants were referred to their general practitioner for medical treatment, if relevant. The control group was not invited for screening. Main outcome measures The primary outcome measure was incidence of ischaemic heart disease in the intervention group compared with the control group. Secondary outcome measures were stroke, combined events (ischaemic heart disease, stroke, or both), and mortality. Results 6091 (52.4%) people in the intervention group participated at baseline. Among 5978 people eligible at five year follow-up (59 died and 54 emigrated), 4028 (67.4%) attended. A total of 3163 people died in the 10 year follow-up period. Among 58 308 without a history of ischaemic heart disease at baseline, 2782 developed ischaemic heart disease. Among 58 940 without a history of stroke at baseline, 1726 developed stroke. No significant difference was seen between the intervention and control groups in the primary end point (hazard ratio for ischaemic heart disease 1.03, 95% confidence interval 0.94 to 1.13) or in the secondary endpoints (stroke 0.98, 0.87 to 1.11; combined endpoint 1.01, 0.93 to 1.09; total mortality 1.00, 0.91 to 1.09). Conclusion A community based, individually tailored intervention programme with screening for risk of ischaemic heart disease and repeated lifestyle intervention over five years had no effect on ischaemic heart disease, stroke, or mortality at the population level after 10 years. |
<|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:"DESPERATE GUESTS, UNWILLING HOSTS: CLIMATE CHANGE-INDUCED MIGRATION AND FARMER-HERDER CONFLICTS IN SOUTHWESTERN NIGERIA."
Abstract:"Discourses on the relationship between climate change and violent conflict have created two opposing views of the enthusiasts and the skeptics, with the former arguing that there is a strong connection and the latter doubting it. This paper combines elements from the two lines of thought to assess the phenomenon of incessant farmer-herder conflicts in southwestern Nigeria. Presenting evidence collected from a town in southwestern Nigeria, the paper demonstrates not only the saliency of climate change but also its instigating influence in human migration and the associated violent conflicts in southwestern Nigeria. It argues that acute shortage in rainfalls, increasing dryness and scorching heat have resulted in depletion of water, flora, and fauna resources on the land. This has triggered forced migration of many cattle herders of the region to the lush wetter parts of the south in desperate search of grazing spaces. More often than not, however, the desperate guests (the grazers) have often been met by unwilling hosts (the farmers) in the wetter destinations, thereby setting in motion violent conflicts, which have increased and intensified since the late 1990s. However, the paper concludes that, on its own, climate change-induced migration seldom causes conflict unless enmeshed with the struggle for economic ascendancy, intolerance, ethnicity, insensitivity, an integration problem, and state incapacity.."
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 = [1,2,3,4];
Q3 = [1];
Q4 = [];
Q5 = [1];
Q6 = [0]. | abs22220 | gen.2015.75009322 | DESPERATE GUESTS, UNWILLING HOSTS: CLIMATE CHANGE-INDUCED MIGRATION AND FARMER-HERDER CONFLICTS IN SOUTHWESTERN NIGERIA | Discourses on the relationship between climate change and violent conflict have created two opposing views of the enthusiasts and the skeptics, with the former arguing that there is a strong connection and the latter doubting it. This paper combines elements from the two lines of thought to assess the phenomenon of incessant farmer-herder conflicts in southwestern Nigeria. Presenting evidence collected from a town in southwestern Nigeria, the paper demonstrates not only the saliency of climate change but also its instigating influence in human migration and the associated violent conflicts in southwestern Nigeria. It argues that acute shortage in rainfalls, increasing dryness and scorching heat have resulted in depletion of water, flora, and fauna resources on the land. This has triggered forced migration of many cattle herders of the region to the lush wetter parts of the south in desperate search of grazing spaces. More often than not, however, the desperate guests (the grazers) have often been met by unwilling hosts (the farmers) in the wetter destinations, thereby setting in motion violent conflicts, which have increased and intensified since the late 1990s. However, the paper concludes that, on its own, climate change-induced migration seldom causes conflict unless enmeshed with the struggle for economic ascendancy, intolerance, ethnicity, insensitivity, an integration problem, and state incapacity. |
<|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:"A Call to End Human Rights Abuses at Japanese Immigrant Detention Centers: Twenty-five years of Grassroots Advocacy at Ushiku Detention Center."
Abstract:"This long, collaboratively written article interweaves several narratives: the 25 year-long history of an activist group concerned with Ushiku Detention Center against the broader history of detention centers in Japan; description of the detention center system in Japan against an account of daily life at the Ushiku Center and visitations; and sketches from the lives of three detainees, including one man's declarations through his politically satirical cartoons.."
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 = [1];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs12642 | gen.2019.72730348 | A Call to End Human Rights Abuses at Japanese Immigrant Detention Centers: Twenty-five years of Grassroots Advocacy at Ushiku Detention Center | This long, collaboratively written article interweaves several narratives: the 25 year-long history of an activist group concerned with Ushiku Detention Center against the broader history of detention centers in Japan; description of the detention center system in Japan against an account of daily life at the Ushiku Center and visitations; and sketches from the lives of three detainees, including one man's declarations through his politically satirical cartoons. |
<|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:"(Un)Sustainable Development of Minors in Libyan Refugee Camps in the Context of Conflict-Induced Migration."
Abstract:"This paper looks at the challenges to the sustainable development of migrant and refugee children in Libyan refugee camps and migrant detention centres. Libya, next to Syria, is still the most destabilised Arab country with a myriad of conflicting parties, warlords, militias, terrorist organisations as well as smugglers and traffickers that continuously compete in a complex network of multidimensional power struggles. Our single case study based on ethnographic fieldwork adopts the human security approach, which provides security analysis with an inherently sustainable dimension. In the paper we provide an overview of the empirical study carried out in seven Libyan refugee camps (Tripoli, Tajoura, Sirte, Misrata, Benghazi, Derna and Tobruk) between 2013 and 2019. Our findings show that for refugee children even everyday activities pose a danger to health and life, and the many threats to their security encompass a broad spectrum from health to safety, from education to falling prey to bundlers from terrorist organisations and paramilitary militias. These issues, undoubtedly pertinent on the individual level of analysis, are further exacerbated by the underlying, conflict-induced factors and preclude a safe and secure 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 = [4,5,6];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs11668 | 10.3390/su12114537 | (Un)Sustainable Development of Minors in Libyan Refugee Camps in the Context of Conflict-Induced Migration | This paper looks at the challenges to the sustainable development of migrant and refugee children in Libyan refugee camps and migrant detention centres. Libya, next to Syria, is still the most destabilised Arab country with a myriad of conflicting parties, warlords, militias, terrorist organisations as well as smugglers and traffickers that continuously compete in a complex network of multidimensional power struggles. Our single case study based on ethnographic fieldwork adopts the human security approach, which provides security analysis with an inherently sustainable dimension. In the paper we provide an overview of the empirical study carried out in seven Libyan refugee camps (Tripoli, Tajoura, Sirte, Misrata, Benghazi, Derna and Tobruk) between 2013 and 2019. Our findings show that for refugee children even everyday activities pose a danger to health and life, and the many threats to their security encompass a broad spectrum from health to safety, from education to falling prey to bundlers from terrorist organisations and paramilitary militias. These issues, undoubtedly pertinent on the individual level of analysis, are further exacerbated by the underlying, conflict-induced factors and preclude a safe and secure 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:"Prevalence of tuberculosis, hepatitis B virus, and intestinal parasitic infections among refugees to Minnesota."
Abstract:"Objective. The purpose of this study was to define the prevalence of infection with Mycobacterium tuberculosis, hepatitis B virus, and various intestinal parasites among different groups of primary refugees immigrating to Minnesota. Methods. 2,545 refugees arriving in Minnesota during 1999 received a domestic health examination that included tuberculin skin testing, hepatitis B virus serologic testing, and stool ova and parasite examinations. The Refugee Health Assessment form asked specifically about screening results for amebiasis, ascariasis, clonorchiasis, giardiasis, hookworm, schistosomiasis, strongyloidiasis, and trichuriasis. Results. Forty-nine percent of refugees had a reactive tuberculin test of greater than or equal to10 mm induration, with a higher prevalence in males (54%) and refugees greater than or equal to18 years of age (63%) (p<0.001). Seven percent had a positive hepatitis B surface antigen, with the highest prevalence in those people from sub-Saharan Africa (8%) (p=0.002) and those refugees greater than or equal to18 years of age (9%) (p=0.006). Twenty-two percent had one or more intestinal parasites asked about, including 30% of those refugees <18 years of age (p<0.001). The most commonly reported parasitic infections were trichuriasis (8%) and giardiasis (7%). Conclusions. Evidence of infection with M. tuberculosis, hepatitis B virus, or one of eight intestinal parasites was present in a substantial proportion of refugees receiving the domestic health assessment. Screening for such infections gives new immigrants the opportunity to receive important medical evaluation and treatment, provides valuable surveillance data, and allows appropriate public health measures to be taken.."
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 = [3];
Q5 = [0];
Q6 = [1]. | abs17871 | 10.1093/phr/117.1.69 | Prevalence of tuberculosis, hepatitis B virus, and intestinal parasitic infections among refugees to Minnesota | Objective. The purpose of this study was to define the prevalence of infection with Mycobacterium tuberculosis, hepatitis B virus, and various intestinal parasites among different groups of primary refugees immigrating to Minnesota. Methods. 2,545 refugees arriving in Minnesota during 1999 received a domestic health examination that included tuberculin skin testing, hepatitis B virus serologic testing, and stool ova and parasite examinations. The Refugee Health Assessment form asked specifically about screening results for amebiasis, ascariasis, clonorchiasis, giardiasis, hookworm, schistosomiasis, strongyloidiasis, and trichuriasis. Results. Forty-nine percent of refugees had a reactive tuberculin test of greater than or equal to10 mm induration, with a higher prevalence in males (54%) and refugees greater than or equal to18 years of age (63%) (p<0.001). Seven percent had a positive hepatitis B surface antigen, with the highest prevalence in those people from sub-Saharan Africa (8%) (p=0.002) and those refugees greater than or equal to18 years of age (9%) (p=0.006). Twenty-two percent had one or more intestinal parasites asked about, including 30% of those refugees <18 years of age (p<0.001). The most commonly reported parasitic infections were trichuriasis (8%) and giardiasis (7%). Conclusions. Evidence of infection with M. tuberculosis, hepatitis B virus, or one of eight intestinal parasites was present in a substantial proportion of refugees receiving the domestic health assessment. Screening for such infections gives new immigrants the opportunity to receive important medical evaluation and treatment, provides valuable surveillance data, and allows appropriate public health measures to be taken. |
<|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:"Chinese immigrants' attitudes toward the police in San Francisco."
Abstract:"Purpose - The purpose of this paper is to examine different aspects of Chinese immigrants' perceptions in San Francisco. Design/methodology/approach - Survey data gathered from 198 Chinese immigrants were utilized to assess respondents' evaluations of the local police. Findings - It was found that Chinese immigrants' satisfaction with police contact and perceptions imported from countries of origin were significantly associated with ratings of the police in the city. In addition, length of residence in the USA was inversely associated with evaluations of the police. Research limitations/implications - The sampling method adopted in this study, not a probability procedure, to some extent may possibly reflect the perceptions of Chinese immigrants who were in need of cultural support and services from various social and community organizations in San Francisco. It should be noted from the descriptive statistics that the average education level for this sample is comparatively lower than it is for the overall Asian population in the USA. Also, only 11 percent of the respondents were under 24 years old. It is acknowledged that this sample may under-represent the constituency of younger people or more established immigrants who do not need as much ethnic support or various types of services. Originality/value - There is no other empirical research that specifically examines the Chinese community's perceptions of the police in San Francisco. The findings thus provide police administration a clear strategy to improve Chinese immigrants' perceptions of the police. Training in cultural sensitivity and communication skills, as well as professional attitudes of enforcement, may improve immigrants' satisfaction with the police during the contact, which can enhance Chinese immigrants' perceptions of the police.."
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 = [0];
Q4 = [0];
Q5 = [];
Q6 = [1]. | abs04180 | 10.1108/13639511011085051 | Chinese immigrants' attitudes toward the police in San Francisco | Purpose - The purpose of this paper is to examine different aspects of Chinese immigrants' perceptions in San Francisco. Design/methodology/approach - Survey data gathered from 198 Chinese immigrants were utilized to assess respondents' evaluations of the local police. Findings - It was found that Chinese immigrants' satisfaction with police contact and perceptions imported from countries of origin were significantly associated with ratings of the police in the city. In addition, length of residence in the USA was inversely associated with evaluations of the police. Research limitations/implications - The sampling method adopted in this study, not a probability procedure, to some extent may possibly reflect the perceptions of Chinese immigrants who were in need of cultural support and services from various social and community organizations in San Francisco. It should be noted from the descriptive statistics that the average education level for this sample is comparatively lower than it is for the overall Asian population in the USA. Also, only 11 percent of the respondents were under 24 years old. It is acknowledged that this sample may under-represent the constituency of younger people or more established immigrants who do not need as much ethnic support or various types of services. Originality/value - There is no other empirical research that specifically examines the Chinese community's perceptions of the police in San Francisco. The findings thus provide police administration a clear strategy to improve Chinese immigrants' perceptions of the police. Training in cultural sensitivity and communication skills, as well as professional attitudes of enforcement, may improve immigrants' satisfaction with the police during the contact, which can enhance Chinese immigrants' perceptions of the police. |
<|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:"Individual-Based Modeling of Tuberculosis in a User-Friendly Interface: Understanding the Epidemiological Role of Population Heterogeneity in a City."
Abstract:"For millennia tuberculosis (TB) has shown a successful strategy to survive, making it one of the world's deadliest infectious diseases. This resilient behavior is based not only on remaining hidden in most of the infected population, but also by showing slow evolution in most sick people. The course of the disease within a population is highly related to its heterogeneity. Thus, classic epidemiological approaches with a top-down perspective have not succeeded in understanding its dynamics. In the past decade a few individual-based models were built, but most of them preserved a top-down view that makes it difficult to study a heterogeneous population. We propose an individual-based model developed with a bottom-up approach to studying the dynamics of pulmonary TB in a certain population, considered constant. Individuals may belong to the following classes: healthy, infected, sick, under treatment, and treated with a probability of relapse. Several variables and parameters account for their age, origin (native or immigrant), immunodeficiency, diabetes, and other risk factors (smoking and alcoholism). The time within each infection state is controlled, and sick individuals may show a cavitated disease or not that conditions infectiousness. It was implemented in NetLogo because it allows non-modelers to perform virtual experiments with a user-friendly interface. The simulation was conducted with data from Ciutat Vella, a district of Barcelona with an incidence of 67 TB cases per 100,000 inhabitants in 2013. Several virtual experiments were performed to relate the disease dynamics with the structure of the infected subpopulation (e.g., the distribution of infected times). Moreover, the short-term effect of health control policies on modifying that structure was studied. Results show that the characteristics of the population are crucial for the local epidemiology of TB. The developed user-friendly tool is ready to test control strategies of disease in any city in the short-term.."
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 = [];
Q5 = [0];
Q6 = [1]. | abs02936 | 10.3389/fmicb.2015.01564 | Individual-Based Modeling of Tuberculosis in a User-Friendly Interface: Understanding the Epidemiological Role of Population Heterogeneity in a City | For millennia tuberculosis (TB) has shown a successful strategy to survive, making it one of the world's deadliest infectious diseases. This resilient behavior is based not only on remaining hidden in most of the infected population, but also by showing slow evolution in most sick people. The course of the disease within a population is highly related to its heterogeneity. Thus, classic epidemiological approaches with a top-down perspective have not succeeded in understanding its dynamics. In the past decade a few individual-based models were built, but most of them preserved a top-down view that makes it difficult to study a heterogeneous population. We propose an individual-based model developed with a bottom-up approach to studying the dynamics of pulmonary TB in a certain population, considered constant. Individuals may belong to the following classes: healthy, infected, sick, under treatment, and treated with a probability of relapse. Several variables and parameters account for their age, origin (native or immigrant), immunodeficiency, diabetes, and other risk factors (smoking and alcoholism). The time within each infection state is controlled, and sick individuals may show a cavitated disease or not that conditions infectiousness. It was implemented in NetLogo because it allows non-modelers to perform virtual experiments with a user-friendly interface. The simulation was conducted with data from Ciutat Vella, a district of Barcelona with an incidence of 67 TB cases per 100,000 inhabitants in 2013. Several virtual experiments were performed to relate the disease dynamics with the structure of the infected subpopulation (e.g., the distribution of infected times). Moreover, the short-term effect of health control policies on modifying that structure was studied. Results show that the characteristics of the population are crucial for the local epidemiology of TB. The developed user-friendly tool is ready to test control strategies of disease in any city in the short-term. |
<|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:"A novel spatiotemporal multi-attribute method for assessing flood risks in urban spaces under climate change and demographic scenarios."
Abstract:"The combined effects of global warming and population growth induce policymakers to enhance flood risk management practices in order to reduce substantially the causes of floods and to mitigate their future and multiple impacts simultaneously. This way, this paper puts forward a new multi-attribute and non-stationary decision model for managing flood risks in urban areas under climate demographic changes, which we call the Non-Stationary Multi-Attribute Utility Theory (NSMAUT). Under expected utilities, our model inserts time dependency into the decision-maker's (DM's) preference statements based on his/her trade-offs regarding psychological distance induced by delayed prospects. The NSMAUT analyzes flood risks under five attributes, linked to environmental, financial, human, mobility, and social concerns of society. By combining climate and demographic scenarios for this century, our findings make use of statistical, graphic, and risk performance measures that increase the DM's perception of risk in order to control and monitor the dynamism of circumstances of risk and thus to facilitate on what he/she should base future decisions on adapting cities for future adverse events arising from flooding. A numerical application in a Brazilian municipality from 2021 - 2100 is used to validate our approach. Moreover, the model can be replicated in other urban contexts.."
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 = [];
Q6 = [1]. | abs13711 | 10.1016/j.scs.2021.103501 | A novel spatiotemporal multi-attribute method for assessing flood risks in urban spaces under climate change and demographic scenarios | The combined effects of global warming and population growth induce policymakers to enhance flood risk management practices in order to reduce substantially the causes of floods and to mitigate their future and multiple impacts simultaneously. This way, this paper puts forward a new multi-attribute and non-stationary decision model for managing flood risks in urban areas under climate demographic changes, which we call the Non-Stationary Multi-Attribute Utility Theory (NSMAUT). Under expected utilities, our model inserts time dependency into the decision-maker's (DM's) preference statements based on his/her trade-offs regarding psychological distance induced by delayed prospects. The NSMAUT analyzes flood risks under five attributes, linked to environmental, financial, human, mobility, and social concerns of society. By combining climate and demographic scenarios for this century, our findings make use of statistical, graphic, and risk performance measures that increase the DM's perception of risk in order to control and monitor the dynamism of circumstances of risk and thus to facilitate on what he/she should base future decisions on adapting cities for future adverse events arising from flooding. A numerical application in a Brazilian municipality from 2021 - 2100 is used to validate our approach. Moreover, the model can be replicated in other urban contexts. |
<|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:"Being inside out: the slippery slope between inclusion and exclusion in a Swiss educational project for unaccompanied refugee youth."
Abstract:"This article discusses how important social markers surrounding the figure of the unaccompanied minor, such as 'integration' and 'deservingness' are negotiated and made sense of by unaccompanied refugee youth and their teachers in a Swiss integration class. Starting from the premise of the classroom as both, a project of future-making and control, I investigate the ambiguous potential of education in creating and obstructing refugee youth's pathways into the larger society. By zooming in on the interactions between teachers and students in an educational project in Switzerland that was specifically designed to cater for the needs of unaccompanied refugee youth, I show how a project that is celebrated amongst practitioners as a best practice example for integration in fact creates an insurmountable number of new obstacles for the young people. I suggest that the ambiguous treatment of unaccompanied refugee youth as vulnerable victims in need of protection and integration on the one hand and as threats to the economic and cultural integrity of the Swiss 'national order of things' (Malkki, Liisa. 1995. Refugees and Exile: From 'Refugee Studies' to the National Order of Things. Annual Review in Anthropology 24: 494-523) on the other, produces paradoxical dynamics whereby young people find themselves left outside whilst seemingly being 'in'.."
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 = [6,7];
Q3 = [1];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs12663 | 10.1080/1369183X.2019.1584702 | Being inside out: the slippery slope between inclusion and exclusion in a Swiss educational project for unaccompanied refugee youth | This article discusses how important social markers surrounding the figure of the unaccompanied minor, such as 'integration' and 'deservingness' are negotiated and made sense of by unaccompanied refugee youth and their teachers in a Swiss integration class. Starting from the premise of the classroom as both, a project of future-making and control, I investigate the ambiguous potential of education in creating and obstructing refugee youth's pathways into the larger society. By zooming in on the interactions between teachers and students in an educational project in Switzerland that was specifically designed to cater for the needs of unaccompanied refugee youth, I show how a project that is celebrated amongst practitioners as a best practice example for integration in fact creates an insurmountable number of new obstacles for the young people. I suggest that the ambiguous treatment of unaccompanied refugee youth as vulnerable victims in need of protection and integration on the one hand and as threats to the economic and cultural integrity of the Swiss 'national order of things' (Malkki, Liisa. 1995. Refugees and Exile: From 'Refugee Studies' to the National Order of Things. Annual Review in Anthropology 24: 494-523) on the other, produces paradoxical dynamics whereby young people find themselves left outside whilst seemingly being 'in'. |
<|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:"Cross-Border Mediation under Current Threats: Ukraine-Poland (Some Aspects of Interaction)."
Abstract:"Using the documentary research technique, this paper outlines certain aspects of Ukraine-Poland Edu cross-border mediation interaction in the context of contemporary threats. In addition, it Maria points out the main contemporary threats, which affect the cross border interaction of Ukraine and Poland. It characterizes such border interaction of Ukraine and Poland. It characterizes such threats as nuclear danger, environmental problems, humanitarian crisis, economic threats and food shortages. It points out that there are internal threats to Poland in connection with the war in Ukraine, the spread of infectious diseases, including COVID-19, due to the large number of refugees, the threat to food security, the threat to Poland's economic stability and poverty. It is shown that Poland interacts with Ukraine on all urgent issues: helps citizens seeking temporary protection, sends humanitarian aid, strengthens and stimulates market relations. It is concluded that all this led to increased cross-border interaction between the countries. The relevance of alternative types of conflict resolution, such as mediation, is highlighted. The scope of cross-border mediation is presented, the current state of mediation is analyzed and conclusions are drawn on the need for further development of this institution.."
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 = [0];
Q4 = [];
Q5 = [];
Q6 = [0]. | abs08214 | 10.46398/cuestpol.4178.32 | Cross-Border Mediation under Current Threats: Ukraine-Poland (Some Aspects of Interaction) | Using the documentary research technique, this paper outlines certain aspects of Ukraine-Poland Edu cross-border mediation interaction in the context of contemporary threats. In addition, it Maria points out the main contemporary threats, which affect the cross border interaction of Ukraine and Poland. It characterizes such border interaction of Ukraine and Poland. It characterizes such threats as nuclear danger, environmental problems, humanitarian crisis, economic threats and food shortages. It points out that there are internal threats to Poland in connection with the war in Ukraine, the spread of infectious diseases, including COVID-19, due to the large number of refugees, the threat to food security, the threat to Poland's economic stability and poverty. It is shown that Poland interacts with Ukraine on all urgent issues: helps citizens seeking temporary protection, sends humanitarian aid, strengthens and stimulates market relations. It is concluded that all this led to increased cross-border interaction between the countries. The relevance of alternative types of conflict resolution, such as mediation, is highlighted. The scope of cross-border mediation is presented, the current state of mediation is analyzed and conclusions are drawn on the need for further development of this institution. |
<|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:"Other Peoples' History: Slavery, Refuge and Irish Citizenship in Donal O Kelly's The Cambria."
Abstract:"The 200th anniversary of the abolition of the slave trade has gone officially unmarked in the Republic of Ireland. Although remaining outside the historical narratives of all political traditions in the state, however, both slavery and anti-slavery had significant impact on the economics of this corner of what was the British Empire. Recently, following four centuries of population haemorrhage, the state has sought to limit the citizenship rights of its new immigrant population. Donal O Kelly's play, The Cambria, is one of the few contemporary responses to the Irish exceptionalist tradition. This article argues that the play seeks to insert one peripheral memory of slavery into a contemporary narrative of Irish republicanism. As an intervention, it presents a challenge to narrowly defined narratives of citizenship. As importantly, it reconsiders the meaning of the social contract within republicanism, and the degree to which history may enable 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 = [1];
Q2 = [5];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs04470 | 10.1080/01440390802027947 | Other Peoples' History: Slavery, Refuge and Irish Citizenship in Donal O Kelly's The Cambria | The 200th anniversary of the abolition of the slave trade has gone officially unmarked in the Republic of Ireland. Although remaining outside the historical narratives of all political traditions in the state, however, both slavery and anti-slavery had significant impact on the economics of this corner of what was the British Empire. Recently, following four centuries of population haemorrhage, the state has sought to limit the citizenship rights of its new immigrant population. Donal O Kelly's play, The Cambria, is one of the few contemporary responses to the Irish exceptionalist tradition. This article argues that the play seeks to insert one peripheral memory of slavery into a contemporary narrative of Irish republicanism. As an intervention, it presents a challenge to narrowly defined narratives of citizenship. As importantly, it reconsiders the meaning of the social contract within republicanism, and the degree to which history may enable 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:"The diversification of pastoralist herding: navigating socio-climatic risk via mobile technologies."
Abstract:"This paper examines the diversification of pastoralist herding practices in the context of socio-climatic change and the ways in which mobile technologies shape this diversification. It does so to offer a plural perspective on the relation between climate change and human mobility, showing the heterogenous and socially embedded ways in which it unfolds. Pastoralists have been moving in response to rains and droughts for centuries. This mobility is, however, faced with numerous challenges, related to privatisation of land, processes of urbanisation impacting on pastoralist livelihoods and changing rainfall patterns making decision-making on livestock mobility increasingly complex. This paper examines how pastoralists are navigating these challenges through the use of basic phones, smartphones and social media, via a case study of the Kenyan Laikipia Highlands. It demonstrates how these mobile technologies enable herding practices to endure and for them to be reshaped by taking on a mix of physical and digital forms. This happens through social media platforms, virtual herding and through pluralised networks of information exchange on grazing strategies navigating the socio-climatic limitations imposed on them.."
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 = [1,2,6];
Q3 = [2];
Q4 = [7,26];
Q5 = [1];
Q6 = [0]. | abs17216 | 10.1080/1369183X.2022.2066262 | The diversification of pastoralist herding: navigating socio-climatic risk via mobile technologies | This paper examines the diversification of pastoralist herding practices in the context of socio-climatic change and the ways in which mobile technologies shape this diversification. It does so to offer a plural perspective on the relation between climate change and human mobility, showing the heterogenous and socially embedded ways in which it unfolds. Pastoralists have been moving in response to rains and droughts for centuries. This mobility is, however, faced with numerous challenges, related to privatisation of land, processes of urbanisation impacting on pastoralist livelihoods and changing rainfall patterns making decision-making on livestock mobility increasingly complex. This paper examines how pastoralists are navigating these challenges through the use of basic phones, smartphones and social media, via a case study of the Kenyan Laikipia Highlands. It demonstrates how these mobile technologies enable herding practices to endure and for them to be reshaped by taking on a mix of physical and digital forms. This happens through social media platforms, virtual herding and through pluralised networks of information exchange on grazing strategies navigating the socio-climatic limitations imposed on them. |
<|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:"Who seeks psychodynamic psychotherapy in community-based practices? Patient characteristics examined in a large sample of applications for reimbursement of psychotherapy in Germany."
Abstract:"This study examined the demographic characteristics of patients using outpatient psychodynamic psychotherapy and compared them to the general population. A second aim was to explore clinical and biographical features of the users. We extracted data from a random sample of 983 applications for reimbursement of psychodynamic psychotherapy in community-based practices in Germany. These applications contain information for the health insurer but also additional written reports for an expert reviewer. Census data for comparison were obtained from the Federal Statistical Office of Germany. Men, older people, and migrants were underrepresented, while the unemployed were overrepresented compared to the general population. A third of the reports described a patient's experience of physical and/or sexual violence. Twenty-six percent of the reports mentioned that the parents had separated, and a third of these patients were younger than 5 years at that time. Suicidal ideation was reported for a fifth of the patients. About 5% were reported to present with self-harming behaviour and 14% with violence towards others. It was mentioned that the patients were consuming dangerous amounts of alcohol in 9%. The most frequent diagnosis group was affective disorders, followed by neurotic disorders, whereas only few had a substance use diagnosis or a psychotic disorder. In summary, men, migrants, older people, and patients with substance abuse and psychotic disorders are likely underrepresented in outpatient psychotherapy in Germany, indicating unequal access to mental health care despite the universal coverage of its costs. Patients in outpatient psychodynamic psychotherapy often present with severe clinical problems.."
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]. | abs00158 | 10.1080/14753634.2023.2182702 | Who seeks psychodynamic psychotherapy in community-based practices? Patient characteristics examined in a large sample of applications for reimbursement of psychotherapy in Germany | This study examined the demographic characteristics of patients using outpatient psychodynamic psychotherapy and compared them to the general population. A second aim was to explore clinical and biographical features of the users. We extracted data from a random sample of 983 applications for reimbursement of psychodynamic psychotherapy in community-based practices in Germany. These applications contain information for the health insurer but also additional written reports for an expert reviewer. Census data for comparison were obtained from the Federal Statistical Office of Germany. Men, older people, and migrants were underrepresented, while the unemployed were overrepresented compared to the general population. A third of the reports described a patient's experience of physical and/or sexual violence. Twenty-six percent of the reports mentioned that the parents had separated, and a third of these patients were younger than 5 years at that time. Suicidal ideation was reported for a fifth of the patients. About 5% were reported to present with self-harming behaviour and 14% with violence towards others. It was mentioned that the patients were consuming dangerous amounts of alcohol in 9%. The most frequent diagnosis group was affective disorders, followed by neurotic disorders, whereas only few had a substance use diagnosis or a psychotic disorder. In summary, men, migrants, older people, and patients with substance abuse and psychotic disorders are likely underrepresented in outpatient psychotherapy in Germany, indicating unequal access to mental health care despite the universal coverage of its costs. Patients in outpatient psychodynamic psychotherapy often present with severe clinical problems. |
<|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:"Migratory diversity in an Arctic fish supporting subsistence harvest."
Abstract:"Arctic regions are warming more than twice as quickly as other parts of the globe, threatening Arctic fish and wildlife and the human communities that rely on them. Assessing species' vulnerability to this change requires understanding their life histories and ecology, including movement patterns and habitat use. However, this information has not been documented for many Arctic species, which may not follow predicable movements in these vast and changing landscapes. In the Gwich'in Settlement Area of western Canadian Arctic, one such species is luk dagaii (in Gwich'in) or broad whitefish (Coregonus nasus). This species is the most important food fish for the Gwich'in Peoples of the region. We present results from a collaborative community-based research program established to build research capacity and address pressing research questions. Using otoliths extracted from fish caught by community monitors along the Peel River, we investigated migratory patterns using the isotopic ratio, Sr-87/Sr-86. Applying a hidden Markov model to the otolith laser ablation transects, we explored emergent model states and linked them to regions of the watershed. Across and within individuals, fish occupied the ocean and three different identified freshwater locations; however, while all fish were captured in the Peel River, none expressed an otolith signature that would suggest they grew there. Across individuals, we found large variability in migratory patterns, suggesting that migrations are not obligate and that individual fish utilize the watershed very differently. This diversity may buffer whitefish and reliant human communities against change, but indicates dependence on a large, intact watershed.."
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]. | abs01513 | 10.1016/j.biocon.2020.108685 | Migratory diversity in an Arctic fish supporting subsistence harvest | Arctic regions are warming more than twice as quickly as other parts of the globe, threatening Arctic fish and wildlife and the human communities that rely on them. Assessing species' vulnerability to this change requires understanding their life histories and ecology, including movement patterns and habitat use. However, this information has not been documented for many Arctic species, which may not follow predicable movements in these vast and changing landscapes. In the Gwich'in Settlement Area of western Canadian Arctic, one such species is luk dagaii (in Gwich'in) or broad whitefish (Coregonus nasus). This species is the most important food fish for the Gwich'in Peoples of the region. We present results from a collaborative community-based research program established to build research capacity and address pressing research questions. Using otoliths extracted from fish caught by community monitors along the Peel River, we investigated migratory patterns using the isotopic ratio, Sr-87/Sr-86. Applying a hidden Markov model to the otolith laser ablation transects, we explored emergent model states and linked them to regions of the watershed. Across and within individuals, fish occupied the ocean and three different identified freshwater locations; however, while all fish were captured in the Peel River, none expressed an otolith signature that would suggest they grew there. Across individuals, we found large variability in migratory patterns, suggesting that migrations are not obligate and that individual fish utilize the watershed very differently. This diversity may buffer whitefish and reliant human communities against change, but indicates dependence on a large, intact watershed. |
<|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:"Reskilled and Integrated, but How? Navigating Trauma and Temporary Hardships."
Abstract:"Immigrants are often pressed to show how they will contribute to a host country, thus proving through their conditions of entry and human capital whether they will be perceived as an asset or burden, and this is juxtaposed with the host country's institutions offering an improved quality of life, mainly through employment. Seeking employment is often a key factor to be economically assimilated, and in the case of highly educated Turkish migrants, the opportunity to reclaim their previous professional and quality of life statuses. Based on qualitative research, we have examined the experiences of highly educated Turkish people (n = 42) in the recently forced migrant population. Following events including terrorism and the coup on 15 July 2016, Turkiye experienced the highest forced migration in her history. With exiled Turkish migrants, the forced aspect of their migration prompts them to seek a host country that provides safety, and they are also driven to transfer their educational degrees and professional credentials. However, changing careers to become educated and certified in new fields takes time and resources, contributing to a fluctuating economic status and loss of well-being. Once this is regained, their economic situation is improved, but there is still the lost time from the immigration and transfer period. Thus, the process has positive and negative components, but understanding this nuanced process provides opportunities for policy reform that can shorten the time of re-education, increase employability, and support 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 = [4,5,6];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [0]. | abs18749 | 10.3390/ijerph192013675 | Reskilled and Integrated, but How? Navigating Trauma and Temporary Hardships | Immigrants are often pressed to show how they will contribute to a host country, thus proving through their conditions of entry and human capital whether they will be perceived as an asset or burden, and this is juxtaposed with the host country's institutions offering an improved quality of life, mainly through employment. Seeking employment is often a key factor to be economically assimilated, and in the case of highly educated Turkish migrants, the opportunity to reclaim their previous professional and quality of life statuses. Based on qualitative research, we have examined the experiences of highly educated Turkish people (n = 42) in the recently forced migrant population. Following events including terrorism and the coup on 15 July 2016, Turkiye experienced the highest forced migration in her history. With exiled Turkish migrants, the forced aspect of their migration prompts them to seek a host country that provides safety, and they are also driven to transfer their educational degrees and professional credentials. However, changing careers to become educated and certified in new fields takes time and resources, contributing to a fluctuating economic status and loss of well-being. Once this is regained, their economic situation is improved, but there is still the lost time from the immigration and transfer period. Thus, the process has positive and negative components, but understanding this nuanced process provides opportunities for policy reform that can shorten the time of re-education, increase employability, and support 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:"Depiction or erasure? Violence and trauma in contemporary Peruvian film."
Abstract:"Most of the 70,000 people who died or disappeared during the 1980-2000 civil war in Peru were Indigenous Quechua speakers. It is still proscribed to talk about the violent conflict in this Latin American country on the Pacific, where the high levels of poverty that may have triggered the war continue to affect 40% of the population. In this paper, I discuss the effort of three Peruvian films to respond to the trauma of misery, racism, forced migration, and dirty war experienced by both civilians and soldiers. I analyse how the films Gregorio (Grupo Chaski, 1984), The Lion's Den (Francisco Lombardi, 1988), and Days of Santiago (Josue Mendez, 2004) depict or erase the persons and bodies of the Andean individuals who have suffered 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 = [4,5,6];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs04203 | 10.1080/10304310903419575 | Depiction or erasure? Violence and trauma in contemporary Peruvian film | Most of the 70,000 people who died or disappeared during the 1980-2000 civil war in Peru were Indigenous Quechua speakers. It is still proscribed to talk about the violent conflict in this Latin American country on the Pacific, where the high levels of poverty that may have triggered the war continue to affect 40% of the population. In this paper, I discuss the effort of three Peruvian films to respond to the trauma of misery, racism, forced migration, and dirty war experienced by both civilians and soldiers. I analyse how the films Gregorio (Grupo Chaski, 1984), The Lion's Den (Francisco Lombardi, 1988), and Days of Santiago (Josue Mendez, 2004) depict or erase the persons and bodies of the Andean individuals who have suffered violence. |
<|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:"Understanding the impact of mobility on COVID-19 spread: A hybrid gravity-metapopulation model of COVID-19."
Abstract:"The outbreak of the severe acute respiratory syndrome coronavirus 2 started in Wuhan, China, towards the end of 2019 and spread worldwide. The rapid spread of the disease can be attributed to many factors including its high infectiousness and the high rate of human mobility around the world. Although travel/movement restrictions and other non-pharmaceutical interventions aimed at controlling the disease spread were put in place during the early stages of the pandemic, these interventions did not stop COVID-19 spread. To better understand the impact of human mobility on the spread of COVID-19 between regions, we propose a hybrid gravity-metapopulation model of COVID-19. Our modeling framework has the flexibility of determining mobility between regions based on the distances between the regions or using data from mobile devices. In addition, our model explicitly incorporates time-dependent human mobility into the disease transmission rate, and has the potential to incorporate other factors that affect disease transmission such as facemasks, physical distancing, contact rates, etc. An important feature of this modeling framework is its ability to independently assess the contribution of each factor to disease transmission. Using a Bayesian hierarchical modeling framework, we calibrate our model to the weekly reported cases of COVID-19 in thirteen local health areas in Metro Vancouver, British Columbia (BC), Canada, from July 2020 to January 2021. We consider two main scenarios in our model calibration: using a fixed distance matrix and time-dependent weekly mobility matrices. We found that the distance matrix provides a better fit to the data, whilst the mobility matrices have the ability to explain the variance in transmission between regions. This result shows that the mobility data provides more information in terms of disease transmission than the distances between the regions. Author summaryMathematical modelling was at the forefront of the fight against COVID-19. Many models were used to study the disease dynamics and the effectiveness of intervention strategies to control the disease spread. Due to the high infectiousness of COVID-19 and the high rate of human mobility, understanding the disease spread between regions became important. Many of the previously developed models for studying disease dynamics between regions described human mobility based on either the distances between the regions or using other forms of mobility data. In addition, some of these models can only be used to study the spread of COVID-19 from an epicentre to neighbouring regions/cities. These models are suitable for only the early stages of the disease outbreak. We developed a hybrid gravity-metapopulation modelling framework for studying the spread of diseases between regions. Our model provides the flexibility of using the distances between the regions and mobile device data as a proxy for human mobility between regions. Furthermore, our framework is suitable for s."
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 = [];
Q6 = [1]. | abs13726 | 10.1371/journal.pcbi.1011123 | Understanding the impact of mobility on COVID-19 spread: A hybrid gravity-metapopulation model of COVID-19 | The outbreak of the severe acute respiratory syndrome coronavirus 2 started in Wuhan, China, towards the end of 2019 and spread worldwide. The rapid spread of the disease can be attributed to many factors including its high infectiousness and the high rate of human mobility around the world. Although travel/movement restrictions and other non-pharmaceutical interventions aimed at controlling the disease spread were put in place during the early stages of the pandemic, these interventions did not stop COVID-19 spread. To better understand the impact of human mobility on the spread of COVID-19 between regions, we propose a hybrid gravity-metapopulation model of COVID-19. Our modeling framework has the flexibility of determining mobility between regions based on the distances between the regions or using data from mobile devices. In addition, our model explicitly incorporates time-dependent human mobility into the disease transmission rate, and has the potential to incorporate other factors that affect disease transmission such as facemasks, physical distancing, contact rates, etc. An important feature of this modeling framework is its ability to independently assess the contribution of each factor to disease transmission. Using a Bayesian hierarchical modeling framework, we calibrate our model to the weekly reported cases of COVID-19 in thirteen local health areas in Metro Vancouver, British Columbia (BC), Canada, from July 2020 to January 2021. We consider two main scenarios in our model calibration: using a fixed distance matrix and time-dependent weekly mobility matrices. We found that the distance matrix provides a better fit to the data, whilst the mobility matrices have the ability to explain the variance in transmission between regions. This result shows that the mobility data provides more information in terms of disease transmission than the distances between the regions. Author summaryMathematical modelling was at the forefront of the fight against COVID-19. Many models were used to study the disease dynamics and the effectiveness of intervention strategies to control the disease spread. Due to the high infectiousness of COVID-19 and the high rate of human mobility, understanding the disease spread between regions became important. Many of the previously developed models for studying disease dynamics between regions described human mobility based on either the distances between the regions or using other forms of mobility data. In addition, some of these models can only be used to study the spread of COVID-19 from an epicentre to neighbouring regions/cities. These models are suitable for only the early stages of the disease outbreak. We developed a hybrid gravity-metapopulation modelling framework for studying the spread of diseases between regions. Our model provides the flexibility of using the distances between the regions and mobile device data as a proxy for human mobility between regions. Furthermore, our framework is suitable for studying disease dynamics at any epidemic stage. It accounts for disease spread from each region to the remaining regions, irrespective of the number of reported cases in each region and their population sizes. |
<|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:"Towards a Dual City? Suburbanization and Centralization in Spain's Largest Cities."
Abstract:"Large cities and metropolitan areas are being transformed by different migratory and economic processes and also, in a relevant way, by residential mobility. This study focuses on the latter, analyzing profiles of the participants in centralization and suburbanization movements in Madrid, Barcelona, Valencia, Seville and Bilbao, based on data from the 2011 census. Using binomial logistic regression models, we have measured a greater tendency to seek out urban centers of middle classes, educated population and people living in non-traditional households. At the same time, there is a growing suburbanization of young, working-class people involved in family projects. The combination of both movements (which could be individually seen as examples of social mix) is causing an increase in urban segregation, now on a metropolitan scale.."
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]. | abs00909 | 10.5477/cis/reis.176.35 | Towards a Dual City? Suburbanization and Centralization in Spain's Largest Cities | Large cities and metropolitan areas are being transformed by different migratory and economic processes and also, in a relevant way, by residential mobility. This study focuses on the latter, analyzing profiles of the participants in centralization and suburbanization movements in Madrid, Barcelona, Valencia, Seville and Bilbao, based on data from the 2011 census. Using binomial logistic regression models, we have measured a greater tendency to seek out urban centers of middle classes, educated population and people living in non-traditional households. At the same time, there is a growing suburbanization of young, working-class people involved in family projects. The combination of both movements (which could be individually seen as examples of social mix) is causing an increase in urban segregation, now on a metropolitan scale. |
<|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:"Looking Beyond Employment: Participation Profiles of Syrian Refugees in the Netherlands."
Abstract:"There is growing support at policy level in the Netherlands for the notion that different forms of participation by newly arrived refugees should take place simultaneously, not sequentially. Using Dutch large-scale survey data on Syrian refugees with a residence permit, this study explores whether this policy idea of a parallel approach of (economic, educational and societal) participation is provided in practice. We find that Syrians on average combine two forms of participation: language lessons are the most dominant form of participation and are regularly combined with volunteering, but far less commonly with employment or education. With a latent class analysis, we found four participation profiles: two small active groups (termed active seekers and eager learners) and two less active groups (language learners and cautious starters). Higher pre-migration human capital, more activities in the asylum reception centre, more contacts with natives and being younger and male are associated with more participation.."
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 = [1];
Q6 = [1]. | abs05940 | 10.1111/imig.12785 | Looking Beyond Employment: Participation Profiles of Syrian Refugees in the Netherlands | There is growing support at policy level in the Netherlands for the notion that different forms of participation by newly arrived refugees should take place simultaneously, not sequentially. Using Dutch large-scale survey data on Syrian refugees with a residence permit, this study explores whether this policy idea of a parallel approach of (economic, educational and societal) participation is provided in practice. We find that Syrians on average combine two forms of participation: language lessons are the most dominant form of participation and are regularly combined with volunteering, but far less commonly with employment or education. With a latent class analysis, we found four participation profiles: two small active groups (termed active seekers and eager learners) and two less active groups (language learners and cautious starters). Higher pre-migration human capital, more activities in the asylum reception centre, more contacts with natives and being younger and male are associated with more participation. |
<|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:"Automated Analysis and Quantification of Human Mobility Using a Depth Sensor."
Abstract:"Analysis and quantification of human motion to support clinicians in the decision-making process is the desired outcome for many clinical-based approaches. However, generating statistical models that are free from human interpretation and yet representative is a difficult task. In this paper, we propose a framework that automatically recognizes and evaluates human mobility impairments using the Microsoft Kinect One depth sensor. The framework is composed of two parts. First, it recognizes motions, such as sit-to-stand or walking 4 m, using abstract feature representation techniques and machine learning. Second, evaluation of the motion sequence in the temporal domain by comparing the test participant with a statistical mobility model, generated from tracking movements of healthy people. To complement the framework, we propose an automatic method to enable a fairer, unbiased approach to label motion capture data. Finally, we demonstrate the ability of the framework to recognize and provide clinically relevant feedback to highlight mobility concerns, hence providing a route toward stratified rehabilitation pathways and clinicianled 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 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [0];
Q6 = [1]. | abs10066 | 10.1109/JBHI.2016.2558540 | Automated Analysis and Quantification of Human Mobility Using a Depth Sensor | Analysis and quantification of human motion to support clinicians in the decision-making process is the desired outcome for many clinical-based approaches. However, generating statistical models that are free from human interpretation and yet representative is a difficult task. In this paper, we propose a framework that automatically recognizes and evaluates human mobility impairments using the Microsoft Kinect One depth sensor. The framework is composed of two parts. First, it recognizes motions, such as sit-to-stand or walking 4 m, using abstract feature representation techniques and machine learning. Second, evaluation of the motion sequence in the temporal domain by comparing the test participant with a statistical mobility model, generated from tracking movements of healthy people. To complement the framework, we propose an automatic method to enable a fairer, unbiased approach to label motion capture data. Finally, we demonstrate the ability of the framework to recognize and provide clinically relevant feedback to highlight mobility concerns, hence providing a route toward stratified rehabilitation pathways and clinicianled 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:"Migration, Metaphor and Myth in Media Representations: The Ideological Dichotomy of Them and Us."
Abstract:"By focussing on the dichotomized metaphorical strategy and myth creation, this study aims to analyze how the U.S. and the European Union (EU) media respond to the entrenched metaphor of migration and refugee crisis. In this respect, the U.S. and the EU media sources covering the time period from 2015 to 2016 were collected and analyzed in the theoretical framework of conceptual metaphor theory and critical metaphor analysis. By applying the metaphor identification procedure, it has been determined that most of the media narratives contribute to further developing the central bias of migration by means of metaphorical delegitimization that is discursively construed through the binary opposition between them and us. The metaphorical representation has been grouped into two kinds of ideologically represented story lines: (a) the myth of dehumanization, realized through the metaphors of Objects and Commodities; and (b) the myth of moral authority, realized through the metaphors of Natural Phenomena, Crime, and Terrorism. The findings have shown that most of the media narratives both delegitimize and stigmatize the status of a migrant by deeper entrenching the outsider stereotype and, therefore, create the general feelings of instability and intolerance within the EU.."
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 = [1];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs13054 | 10.1177/2158244018768657 | Migration, Metaphor and Myth in Media Representations: The Ideological Dichotomy of Them and Us | By focussing on the dichotomized metaphorical strategy and myth creation, this study aims to analyze how the U.S. and the European Union (EU) media respond to the entrenched metaphor of migration and refugee crisis. In this respect, the U.S. and the EU media sources covering the time period from 2015 to 2016 were collected and analyzed in the theoretical framework of conceptual metaphor theory and critical metaphor analysis. By applying the metaphor identification procedure, it has been determined that most of the media narratives contribute to further developing the central bias of migration by means of metaphorical delegitimization that is discursively construed through the binary opposition between them and us. The metaphorical representation has been grouped into two kinds of ideologically represented story lines: (a) the myth of dehumanization, realized through the metaphors of Objects and Commodities; and (b) the myth of moral authority, realized through the metaphors of Natural Phenomena, Crime, and Terrorism. The findings have shown that most of the media narratives both delegitimize and stigmatize the status of a migrant by deeper entrenching the outsider stereotype and, therefore, create the general feelings of instability and intolerance within the EU. |
<|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:"'PATANGIS-BUWAYA' Reflection and praxis ten years after engaging with Iraya-Mangyan internal refugees."
Abstract:"In January 2003, I heard the news that a number of Iraya-Mangyan families from Mindoro Island had fled their homes and ancestral domain to seek refuge in the island of Luzon. The news reported that they were escaping a growing militarisation of their island. Having engaged the Iraya-Mangyan in ethnomusicological research from 1982 to 1987, I felt the dire necessity to at least find out who these families were and what the situation was on the island. Through a reliable network of cultural workers and after a month's search, I eventually found them in a place they called Kanlungan (a 'place of refuge') and there heard horrifying stories of terror inflicted by paramilitary units, of arbitrary arrests and of summary executions. That was too much for a people who have lived through the land and relied mainly on the forests for sustenance. I am a composer and an ethnomusicologist by profession and while my academic position in one of the most prestigious universities in the Philippines gives my praxis some degree of stature, my work both as ethnomusicologist and composer fits uncomfortably in both those fields. In looking back, ten years after my last engagement with the Iraya-Mangyan, I reflect on my praxis and the manner in which the plight of the Iraya-Mangyan informed the creation of my composition 'Patanngis-Buwaya', a work that attempts to give insight into the Iraya-Mangyan experience for international audiences.."
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 = [];
Q4 = [];
Q5 = [];
Q6 = [0]. | abs15745 | gen.2013.41665070 | 'PATANGIS-BUWAYA' Reflection and praxis ten years after engaging with Iraya-Mangyan internal refugees | In January 2003, I heard the news that a number of Iraya-Mangyan families from Mindoro Island had fled their homes and ancestral domain to seek refuge in the island of Luzon. The news reported that they were escaping a growing militarisation of their island. Having engaged the Iraya-Mangyan in ethnomusicological research from 1982 to 1987, I felt the dire necessity to at least find out who these families were and what the situation was on the island. Through a reliable network of cultural workers and after a month's search, I eventually found them in a place they called Kanlungan (a 'place of refuge') and there heard horrifying stories of terror inflicted by paramilitary units, of arbitrary arrests and of summary executions. That was too much for a people who have lived through the land and relied mainly on the forests for sustenance. I am a composer and an ethnomusicologist by profession and while my academic position in one of the most prestigious universities in the Philippines gives my praxis some degree of stature, my work both as ethnomusicologist and composer fits uncomfortably in both those fields. In looking back, ten years after my last engagement with the Iraya-Mangyan, I reflect on my praxis and the manner in which the plight of the Iraya-Mangyan informed the creation of my composition 'Patanngis-Buwaya', a work that attempts to give insight into the Iraya-Mangyan experience for international audiences. |
<|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:"Knowledge, behaviour and attitudes towards Chagas disease among the Bolivian migrant population living in Japan: a cross-sectional study."
Abstract:"Objectives This study aimed to investigate the knowledge, behaviour and attitudes towards Chagas disease (CD) among Latin American migrants in Japan and to evaluate the effectiveness of an educational activity (EA) in increasing knowledge of CD. Design A cross-sectional, mixed-methods study employing a preknowledge and postknowledge test and focus group discussion, conducted from March 2018 to June 2018. Participants Seventy-two participants were included, all born in Bolivia and residents in four Japanese cities. Fifty-nine of them participated in the EA. Interventions The EA comprised showing three videos about CD and a group discussion covering different dimensions of CD and was evaluated with questionnaires to analyse the knowledge of the participants before and after. Results Seventy-two participants were enrolled, predominantly from highly endemic CD areas of Bolivia. Though most participants were familiar with vector-borne transmission, epidemiology and symptomatology of CD, the baseline knowledge of CD was low. Less than 10% of them had been tested prior for CD. The dominant factors associated with better knowledge were living in Japan for more than 10 years (OR=8.42, 95% CI 1.56 to 48.62) and previously testing for CD (OR=11.32; 95% CI 1.52 to 105.9). The EA significantly improved the CD knowledge of the participants (p value <0.0001; 95% CI 2.32 to 3.84). The participants associated the term 'Chagas' mostly with fear and concern. The level of stigmatisation was low, in contrast to the results of other studies. The barriers encountered in care-seeking behaviour were language, the migration process and difficulties to access the healthcare system. Conclusion EA with an integrative approach is useful to increase the knowledge of CD within the Bolivian migrant population living in Japan. The activity brings the possibility to explore not only the level of knowledge but also to reveal experiences and to understand the needs of the people at risk. Considering them as actors towards healthcare solutions could lead to better outcomes for the success of future policies and interventions aimed to decrease the global burden.."
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 = [1];
Q6 = [1]. | abs19002 | 10.1136/bmjopen-2019-032546 | Knowledge, behaviour and attitudes towards Chagas disease among the Bolivian migrant population living in Japan: a cross-sectional study | Objectives This study aimed to investigate the knowledge, behaviour and attitudes towards Chagas disease (CD) among Latin American migrants in Japan and to evaluate the effectiveness of an educational activity (EA) in increasing knowledge of CD. Design A cross-sectional, mixed-methods study employing a preknowledge and postknowledge test and focus group discussion, conducted from March 2018 to June 2018. Participants Seventy-two participants were included, all born in Bolivia and residents in four Japanese cities. Fifty-nine of them participated in the EA. Interventions The EA comprised showing three videos about CD and a group discussion covering different dimensions of CD and was evaluated with questionnaires to analyse the knowledge of the participants before and after. Results Seventy-two participants were enrolled, predominantly from highly endemic CD areas of Bolivia. Though most participants were familiar with vector-borne transmission, epidemiology and symptomatology of CD, the baseline knowledge of CD was low. Less than 10% of them had been tested prior for CD. The dominant factors associated with better knowledge were living in Japan for more than 10 years (OR=8.42, 95% CI 1.56 to 48.62) and previously testing for CD (OR=11.32; 95% CI 1.52 to 105.9). The EA significantly improved the CD knowledge of the participants (p value <0.0001; 95% CI 2.32 to 3.84). The participants associated the term 'Chagas' mostly with fear and concern. The level of stigmatisation was low, in contrast to the results of other studies. The barriers encountered in care-seeking behaviour were language, the migration process and difficulties to access the healthcare system. Conclusion EA with an integrative approach is useful to increase the knowledge of CD within the Bolivian migrant population living in Japan. The activity brings the possibility to explore not only the level of knowledge but also to reveal experiences and to understand the needs of the people at risk. Considering them as actors towards healthcare solutions could lead to better outcomes for the success of future policies and interventions aimed to decrease the global burden. |
<|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:"RESPONSIBLE RECONSTRUCTION: THE ARCHITECT'S ROLE."
Abstract:"This paper investigates the role of the architect in post-disaster reconstruction and questions their ability to facilitate permanent building solutions. There is an ever-increasing population of refugees and internally displaced persons due to disasters and conflicts who have a basic need for shelter. To date, housing solutions for such people has tended to focus on short-term, temporary shelter solutions that have been largely unsuccessful. This increasing demand for shelter has led to an emerging group of architects skilled in post-disaster reconstruction. These architects acknowledge that shelter is critical to survival, but believe architects should focus on rebuilding in a manner that is quick, durable but permanent. They believe that an architect skilled in post-disaster reconstruction can produce solutions that meet the requirement of the emergency phase, through to semi-permanent and even permanent homes, without wasting time and money on interim shelters. Case Study Research was used to examine and evaluate the assistance provided by Emergency Architects Australia (EM) to the Kei Gold community in the Solomon Islands after the 2007 earthquake and tsunami. The results indicate that an architect's response to a disaster must go beyond providing temporary shelter; they must create permanent building solutions that respond to the site and the culture while servicing the needs of the community. The vernacular reconstruction methods implemented by EM in Kei Gold Village have been successful in developing permanent housing solutions. Further research and development is required to gain a broader understanding of the role of the architect in disasters of varying scales and typologies.."
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 = [24];
Q5 = [1];
Q6 = [0]. | abs21360 | gen.2014.49563526 | RESPONSIBLE RECONSTRUCTION: THE ARCHITECT'S ROLE | This paper investigates the role of the architect in post-disaster reconstruction and questions their ability to facilitate permanent building solutions. There is an ever-increasing population of refugees and internally displaced persons due to disasters and conflicts who have a basic need for shelter. To date, housing solutions for such people has tended to focus on short-term, temporary shelter solutions that have been largely unsuccessful. This increasing demand for shelter has led to an emerging group of architects skilled in post-disaster reconstruction. These architects acknowledge that shelter is critical to survival, but believe architects should focus on rebuilding in a manner that is quick, durable but permanent. They believe that an architect skilled in post-disaster reconstruction can produce solutions that meet the requirement of the emergency phase, through to semi-permanent and even permanent homes, without wasting time and money on interim shelters. Case Study Research was used to examine and evaluate the assistance provided by Emergency Architects Australia (EM) to the Kei Gold community in the Solomon Islands after the 2007 earthquake and tsunami. The results indicate that an architect's response to a disaster must go beyond providing temporary shelter; they must create permanent building solutions that respond to the site and the culture while servicing the needs of the community. The vernacular reconstruction methods implemented by EM in Kei Gold Village have been successful in developing permanent housing solutions. Further research and development is required to gain a broader understanding of the role of the architect in disasters of varying scales and typologies. |
<|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:"International refugee protection and the primary institutions of international society."
Abstract:"Refugees are often considered as a source of disorder if not fundamental threat to international society. In contrast, and drawing from an English School approach, this article argues that the figure of the refugee is foundational to the constitution of both modern international society and its agent, the sovereign territorial state; hence refugee protection represents a primary institution of international society. Starting with conceptual and methodological considerations for studying primary institutions, the article then highlights the longstanding and widespread state practice of granting asylum. It is shown that on the one hand, the figure of the refugee serves to consolidate and naturalise the nation/state/territory trinity underpinning the modern state system; and on the other hand, protecting refugees plays a central role in the construction of statist self-identities as liberal, humanitarian, and altruistic agents. The last section of the article turns to the politics of contestation of refugee protection, examining domestic, regional, and international reactions to 'anti-refugee' policies in the United States, Hungary, and Australia. The considerable amount of criticism generated by these restrictive policies, it is argued, evidence the enduring importance and relevance of refugee protection in (and for) international society.."
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 = [2];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs06035 | 10.1017/S0260210520000029 | International refugee protection and the primary institutions of international society | Refugees are often considered as a source of disorder if not fundamental threat to international society. In contrast, and drawing from an English School approach, this article argues that the figure of the refugee is foundational to the constitution of both modern international society and its agent, the sovereign territorial state; hence refugee protection represents a primary institution of international society. Starting with conceptual and methodological considerations for studying primary institutions, the article then highlights the longstanding and widespread state practice of granting asylum. It is shown that on the one hand, the figure of the refugee serves to consolidate and naturalise the nation/state/territory trinity underpinning the modern state system; and on the other hand, protecting refugees plays a central role in the construction of statist self-identities as liberal, humanitarian, and altruistic agents. The last section of the article turns to the politics of contestation of refugee protection, examining domestic, regional, and international reactions to 'anti-refugee' policies in the United States, Hungary, and Australia. The considerable amount of criticism generated by these restrictive policies, it is argued, evidence the enduring importance and relevance of refugee protection in (and for) international society. |
<|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:"Frame Variation in the News Coverage of the Refugee Crisis: The Romanian Perspective."
Abstract:"The 2015 refugee crisis has held the attention of Romanian news media as well, as one of the most challenging issues for the European Union in the last decade, even though Romania is not situated on the main routes on which refugees arrive. Our research focuses on the variation of issue-specific news frames in time, according to media type, and by the countries covered, also addressing the locally salient issue of religion. Articles from the websites of the top-ranked six Romanian news outlets were analyzed, including three quality papers and three tabloids (N=6,183), from 1 April 2015 to 30 September 2017. Using a computer-assisted, clusters-based frame analysis, we identify six primary, mutually exclusive and six secondary, nonexclusive frames: European crisis, context/victimization, relocation/distribution, international conflict, and social problem, national costs, religious issues, US immigration policy, humanitarian/international. The variations in their salience follow the general European tendency toward securitization. At the same time, the emphasis on the issue as a European crisis indicates a tendency characteristic of Central and Eastern European media coverage. Co-occurrence patterns of frames and specific countries also indicate that the salience of some globally recurrent frames varies by countries covered.."
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 = [1];
Q4 = [0];
Q5 = [];
Q6 = [1]. | abs06070 | 10.1177/0888325419890665 | Frame Variation in the News Coverage of the Refugee Crisis: The Romanian Perspective | The 2015 refugee crisis has held the attention of Romanian news media as well, as one of the most challenging issues for the European Union in the last decade, even though Romania is not situated on the main routes on which refugees arrive. Our research focuses on the variation of issue-specific news frames in time, according to media type, and by the countries covered, also addressing the locally salient issue of religion. Articles from the websites of the top-ranked six Romanian news outlets were analyzed, including three quality papers and three tabloids (N=6,183), from 1 April 2015 to 30 September 2017. Using a computer-assisted, clusters-based frame analysis, we identify six primary, mutually exclusive and six secondary, nonexclusive frames: European crisis, context/victimization, relocation/distribution, international conflict, and social problem, national costs, religious issues, US immigration policy, humanitarian/international. The variations in their salience follow the general European tendency toward securitization. At the same time, the emphasis on the issue as a European crisis indicates a tendency characteristic of Central and Eastern European media coverage. Co-occurrence patterns of frames and specific countries also indicate that the salience of some globally recurrent frames varies by countries covered. |
<|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:"Evaluating the Effectiveness of School Closure in COVID-19-Related Syndromes From Community-Based Syndromic Surveillance: Longitudinal Observational Study."
Abstract:"Background: During the COVID-19 pandemic, a school closure policy was adopted to prevent cluster transmission in schools and subsequent household transmission. However, the effectiveness of school closure is not consistent in studies conducted in different countries.Objective: This study aimed to explore the association between school closure and the daily standardized incidence of COVID-19-related syndromes in an outpatient syndromic surveillance system.Methods: We calculated the incidence of COVID-19-related syndromes derived from a community-based syndromic surveillance system between the first week of January and the second or fourth weeks after school closure in 2021 and 2022 in Taipei City, Taiwan. The effect of school closure on the standardized incidence of COVID-19-related syndromes was evaluated by interrupted time series analysis using an autoregressive integrated moving average with a distributed lag function. The exogenous variables were changes in human mobility measured by Google COVID-19 community mobility reports. Furthermore, the models quantified the influence of different age groups and the hierarchy of medical facilities, such as clinics or community hospitals.Results: School closure was only negatively and significantly associated with the overall standardized incidence of COVID-19-related syndromes in 2021 for 2 weeks after the intervention (coefficient -1.24, 95% CI -2.40 to -0.08). However, in different age groups, school closure had a significantly negative association with the standardized incidence among people aged 13-18 years and >= 65 years for 2 weeks after the intervention in clinics in 2021. In community hospitals, school closure was significantly positively associated with the standardized incidence among people aged 19-24 years in 2021. In 2022, 2 weeks after the intervention, school closure had a significantly negative association with the standardized incidence among people aged 0-6, 7-12, and 19-24 years in community hospitals and aged >45 years in clinics. Furthermore, the standardized incidence was positively associated with movement change toward grocery and pharmacy stores in all age groups in 2022. In addition, movement changes toward residences were significantly positively associated with the standardized incidence among all age groups.Conclusions: Overall, school closure effectively suppresses COVID-19-related syndromes in students owing to the reduction of physical contact. In addition, school closure has a spillover effect on elderly people who stay at home.."
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]. | abs18607 | 10.2196/44606 | Evaluating the Effectiveness of School Closure in COVID-19-Related Syndromes From Community-Based Syndromic Surveillance: Longitudinal Observational Study | Background: During the COVID-19 pandemic, a school closure policy was adopted to prevent cluster transmission in schools and subsequent household transmission. However, the effectiveness of school closure is not consistent in studies conducted in different countries.Objective: This study aimed to explore the association between school closure and the daily standardized incidence of COVID-19-related syndromes in an outpatient syndromic surveillance system.Methods: We calculated the incidence of COVID-19-related syndromes derived from a community-based syndromic surveillance system between the first week of January and the second or fourth weeks after school closure in 2021 and 2022 in Taipei City, Taiwan. The effect of school closure on the standardized incidence of COVID-19-related syndromes was evaluated by interrupted time series analysis using an autoregressive integrated moving average with a distributed lag function. The exogenous variables were changes in human mobility measured by Google COVID-19 community mobility reports. Furthermore, the models quantified the influence of different age groups and the hierarchy of medical facilities, such as clinics or community hospitals.Results: School closure was only negatively and significantly associated with the overall standardized incidence of COVID-19-related syndromes in 2021 for 2 weeks after the intervention (coefficient -1.24, 95% CI -2.40 to -0.08). However, in different age groups, school closure had a significantly negative association with the standardized incidence among people aged 13-18 years and >= 65 years for 2 weeks after the intervention in clinics in 2021. In community hospitals, school closure was significantly positively associated with the standardized incidence among people aged 19-24 years in 2021. In 2022, 2 weeks after the intervention, school closure had a significantly negative association with the standardized incidence among people aged 0-6, 7-12, and 19-24 years in community hospitals and aged >45 years in clinics. Furthermore, the standardized incidence was positively associated with movement change toward grocery and pharmacy stores in all age groups in 2022. In addition, movement changes toward residences were significantly positively associated with the standardized incidence among all age groups.Conclusions: Overall, school closure effectively suppresses COVID-19-related syndromes in students owing to the reduction of physical contact. In addition, school closure has a spillover effect on elderly people who stay at home. |
<|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 channel segmentation necessary to reach a multiethnic population with weight-related health promotion? An analysis of use and perception of communication channels."
Abstract:"Objective. To explore similarities and differences in the use and perception of communication channels to access weight-related health promotion among women in three ethnic minority groups. The ultimate aim was to determine whether similar channels might reach ethnic minority women in general or whether segmentation to ethnic groups would be required. Design. Eight ethnically homogeneous focus groups were conducted among 48 women of Ghanaian, Antillean/Aruban, or Afro-Surinamese background living in Amsterdam. Our questions concerned which communication channels they usually used to access weight-related health advice or information about programs and whose information they most valued. The content analysis of data was performed. Results. The participants mentioned four channels - regular and traditional health care, general or ethnically specific media, multiethnic and ethnic gatherings, and interpersonal communication with peers in the Netherlands and with people in the home country. Ghanaian women emphasized ethnically specific channels (e.g., traditional health care, Ghanaian churches). They were comfortable with these channels and trusted them. They mentioned fewer general channels - mainly limited to health care - and if discussed, negative perceptions were expressed. Antillean women mentioned the use of ethnically specific channels (e.g., communication with Antilleans in the home country) on balance with general audience-oriented channels (e.g., regular health care). Perceptions were mixed. Surinamese participants discussed, in a positive manner, the use of general audience-oriented channels, while they said they did not use traditional health care or advice from Surinam. Local language proficiency, time resided in the Netherlands, and approaches and messages received seemed to explain channel use and perception. Conclusions. The predominant differences in channel use and perception among the ethnic groups indicate a need for channel segmentation to reach a multiethnic target group with weight-related health promotion. The study results reveal possible segmentation criteria besides ethnicity, such as local language proficiency and time since migration, worthy of 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];
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Q6 = [0]. | abs03163 | 10.1080/13557858.2014.907388 | Is channel segmentation necessary to reach a multiethnic population with weight-related health promotion? An analysis of use and perception of communication channels | Objective. To explore similarities and differences in the use and perception of communication channels to access weight-related health promotion among women in three ethnic minority groups. The ultimate aim was to determine whether similar channels might reach ethnic minority women in general or whether segmentation to ethnic groups would be required. Design. Eight ethnically homogeneous focus groups were conducted among 48 women of Ghanaian, Antillean/Aruban, or Afro-Surinamese background living in Amsterdam. Our questions concerned which communication channels they usually used to access weight-related health advice or information about programs and whose information they most valued. The content analysis of data was performed. Results. The participants mentioned four channels - regular and traditional health care, general or ethnically specific media, multiethnic and ethnic gatherings, and interpersonal communication with peers in the Netherlands and with people in the home country. Ghanaian women emphasized ethnically specific channels (e.g., traditional health care, Ghanaian churches). They were comfortable with these channels and trusted them. They mentioned fewer general channels - mainly limited to health care - and if discussed, negative perceptions were expressed. Antillean women mentioned the use of ethnically specific channels (e.g., communication with Antilleans in the home country) on balance with general audience-oriented channels (e.g., regular health care). Perceptions were mixed. Surinamese participants discussed, in a positive manner, the use of general audience-oriented channels, while they said they did not use traditional health care or advice from Surinam. Local language proficiency, time resided in the Netherlands, and approaches and messages received seemed to explain channel use and perception. Conclusions. The predominant differences in channel use and perception among the ethnic groups indicate a need for channel segmentation to reach a multiethnic target group with weight-related health promotion. The study results reveal possible segmentation criteria besides ethnicity, such as local language proficiency and time since migration, worthy of 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:"Modeling Dynamics of Community Resilience to Extreme Events with Explainable Deep Learning."
Abstract:"Community resilience provides a paradigm guiding communities' preparedness and mitigation efforts to counter the increasing risks of extreme events (EEs). Knowledge regarding how communities perform during and after EEs can inform proactive resilience enhancement practices. However, the EE impacts on impacted communities are influenced by multiple variables and their implicit interactions, which are difficult to be understood and modeled with conventional mathematical or statistical models. Thus, we calibrate a spatio-temporal deep learning model to capture the dynamics of impacted communities and use explainable artificial intelligence (XAI) approach to interpret the influence of communities' social and physical properties on EE impacts. Specifically, we couple graph convolutional neural network (GCN) and long short-term memory (LSTM) to model the mobility dynamics for 666 census tracts (i.e., communities) in 14 medium-sized US cities affected by recent hurricanes. The model takes both static variables characterizing communities' preexisting conditions and dynamic variables depicting the changing hazard exposure. The interpretation of the model predictions based on DeepLIFT shows that community resilience, inferred from the perturbation of human mobility in this research, is highly event and geography dependent. Variables including walkability, green spaces, and civil participation generally contribute to fewer mobility perturbations, i.e., resilience contributive, while automobile-oriented accessibility and social vulnerability lead to more mobility perturbations when hazard conditions are controlled. This study empirically validates the mediative role of communities' social and physical properties on EE impacts and promotes more data-driven approaches for understanding and anticipating complex, dynamic, and place-specific community resilience.."
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]. | abs16965 | 10.1061/NHREFO.NHENG-1696 | Modeling Dynamics of Community Resilience to Extreme Events with Explainable Deep Learning | Community resilience provides a paradigm guiding communities' preparedness and mitigation efforts to counter the increasing risks of extreme events (EEs). Knowledge regarding how communities perform during and after EEs can inform proactive resilience enhancement practices. However, the EE impacts on impacted communities are influenced by multiple variables and their implicit interactions, which are difficult to be understood and modeled with conventional mathematical or statistical models. Thus, we calibrate a spatio-temporal deep learning model to capture the dynamics of impacted communities and use explainable artificial intelligence (XAI) approach to interpret the influence of communities' social and physical properties on EE impacts. Specifically, we couple graph convolutional neural network (GCN) and long short-term memory (LSTM) to model the mobility dynamics for 666 census tracts (i.e., communities) in 14 medium-sized US cities affected by recent hurricanes. The model takes both static variables characterizing communities' preexisting conditions and dynamic variables depicting the changing hazard exposure. The interpretation of the model predictions based on DeepLIFT shows that community resilience, inferred from the perturbation of human mobility in this research, is highly event and geography dependent. Variables including walkability, green spaces, and civil participation generally contribute to fewer mobility perturbations, i.e., resilience contributive, while automobile-oriented accessibility and social vulnerability lead to more mobility perturbations when hazard conditions are controlled. This study empirically validates the mediative role of communities' social and physical properties on EE impacts and promotes more data-driven approaches for understanding and anticipating complex, dynamic, and place-specific community resilience. |
<|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:"Evidence on the Effectiveness of Water, Sanitation, and Hygiene (WASH) Interventions on Health Outcomes in Humanitarian Crises: A Systematic Review."
Abstract:"Background Water, sanitation, and hygiene (WASH) interventions are amongst the most crucial in humanitarian crises, although the impact of the different WASH interventions on health outcomes remains unclear. Aim To examine the quantity and quality of evidence on WASH interventions on health outcomes in humanitarian crises, as well as evaluate current evidence on their effectiveness against health outcomes in these contexts. Methods A systematic literature review was conducted of primary and grey quantitative literature on WASH interventions measured against health outcomes in humanitarian crises occurring from 1980-2014. Populations of interest were those in resident in humanitarian settings, with a focus on acute crisis and early recovery stages of humanitarian crises in low and middle-income countries. Interventions of interest were WASH-related, while outcomes of interest were health-related. Study quality was assessed via STROBE/CONSORT criteria. Results were analyzed descriptively, and PRISMA reporting was followed. Results Of 3963 studies initially retrieved, only 6 published studies measured a statistically significant change in health outcome as a result of a WASH intervention. All 6 studies employed point-of-use (POU) water quality interventions, with 50% using safe water storage (SWS) and 35% using household water treatment (HWT). All 6 studies used self-reported diarrhea outcomes, 2 studies also reported laboratory confirmed outcomes, and 2 studies reported health treatment outcomes (e.g. clinical admissions). 1 study measured WASH intervention success in relation to both health and water quality outcomes; 1 study recorded uptake (use of soap) as well as health outcomes. 2 studies were unblinded randomized-controlled trials, while 4 were uncontrolled longitudinal studies. 2 studies were graded as providing high quality evidence; 3 studies provided moderate and 1 study low quality evidence. Conclusion The current evidence base on the impact of WASH interventions on health outcomes in humanitarian crises is extremely limited, and numerous methodological limitations limit the ability to determine associative, let alone causal, relationships.."
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]. | abs15112 | 10.1371/journal.pone.0124688 | Evidence on the Effectiveness of Water, Sanitation, and Hygiene (WASH) Interventions on Health Outcomes in Humanitarian Crises: A Systematic Review | Background Water, sanitation, and hygiene (WASH) interventions are amongst the most crucial in humanitarian crises, although the impact of the different WASH interventions on health outcomes remains unclear. Aim To examine the quantity and quality of evidence on WASH interventions on health outcomes in humanitarian crises, as well as evaluate current evidence on their effectiveness against health outcomes in these contexts. Methods A systematic literature review was conducted of primary and grey quantitative literature on WASH interventions measured against health outcomes in humanitarian crises occurring from 1980-2014. Populations of interest were those in resident in humanitarian settings, with a focus on acute crisis and early recovery stages of humanitarian crises in low and middle-income countries. Interventions of interest were WASH-related, while outcomes of interest were health-related. Study quality was assessed via STROBE/CONSORT criteria. Results were analyzed descriptively, and PRISMA reporting was followed. Results Of 3963 studies initially retrieved, only 6 published studies measured a statistically significant change in health outcome as a result of a WASH intervention. All 6 studies employed point-of-use (POU) water quality interventions, with 50% using safe water storage (SWS) and 35% using household water treatment (HWT). All 6 studies used self-reported diarrhea outcomes, 2 studies also reported laboratory confirmed outcomes, and 2 studies reported health treatment outcomes (e.g. clinical admissions). 1 study measured WASH intervention success in relation to both health and water quality outcomes; 1 study recorded uptake (use of soap) as well as health outcomes. 2 studies were unblinded randomized-controlled trials, while 4 were uncontrolled longitudinal studies. 2 studies were graded as providing high quality evidence; 3 studies provided moderate and 1 study low quality evidence. Conclusion The current evidence base on the impact of WASH interventions on health outcomes in humanitarian crises is extremely limited, and numerous methodological limitations limit the ability to determine associative, let alone causal, relationships. |
<|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:"Chinese Migration in the Russian Far East A Historical and Sociodemo graphic Analysis."
Abstract:"The Far Eastern region of Russia borders on China, and population movements from the People's Republic can be seen as a natural phenomenon. Chinese migration began in the 1860s, when the region was incorporated into Imperial Russia. Interrupted during the Soviet era, migration began again with the collapse of the USSR in 1991. The Russian Far East region makes it possible to study the workings of migration dynamics from their beginnings, and to follow all the stages in the building of the community and of its economic and migration networks. This article seeks to give a historical and sociodemographic overview of Chinese migration in the Far East of Russia, and to analyse the various forms of migration seen in the past and in the present.."
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]. | abs04442 | gen.2008.41437317 | Chinese Migration in the Russian Far East A Historical and Sociodemo graphic Analysis | The Far Eastern region of Russia borders on China, and population movements from the People's Republic can be seen as a natural phenomenon. Chinese migration began in the 1860s, when the region was incorporated into Imperial Russia. Interrupted during the Soviet era, migration began again with the collapse of the USSR in 1991. The Russian Far East region makes it possible to study the workings of migration dynamics from their beginnings, and to follow all the stages in the building of the community and of its economic and migration networks. This article seeks to give a historical and sociodemographic overview of Chinese migration in the Far East of Russia, and to analyse the various forms of migration seen in the past and in the present. |
<|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:"Qumran as Scroll Storehouse in Times of Crisis? A Comparative Perspective on Judaean Desert Manuscript Collections."
Abstract:"This article takes a material and comparative approach to the Qumran collection. Distinctive features set the Qumran manuscripts apart from other Judaean Desert collections, suggesting a scholarly, school-like collection of predominantly literary texts. The few literary texts from other Judaean Desert sites reflect the valuable copies owned by wealthy individuals or families and are illustrative of the spread of these texts within various strata of ancient Jewish society. The historical context of most manuscript depositions in the Judaean Desert is characterized by violence and conflict, and such a context probably also typified the deposition of the Qumran manuscripts. In contrast to at least some of the other Judaean Desert sites where refugees hid with their manuscripts, the deposition evidence at Qumran may suggest an anticipation of such violence. The movement behind the Dead Sea Scrolls can be characterized as a textual community, reflecting a milieu of Jewish intellectuals who were engaged on various levels with their ancestral traditions. The collection of texts attracted people and shaped their thinking, while at the same time people shaped the collection, producing and gathering more texts. In this sense, the site of Qumran and its surrounding caves functioned like a storehouse for scrolls.."
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]. | abs15980 | 10.1163/15700631-12341239 | Qumran as Scroll Storehouse in Times of Crisis? A Comparative Perspective on Judaean Desert Manuscript Collections | This article takes a material and comparative approach to the Qumran collection. Distinctive features set the Qumran manuscripts apart from other Judaean Desert collections, suggesting a scholarly, school-like collection of predominantly literary texts. The few literary texts from other Judaean Desert sites reflect the valuable copies owned by wealthy individuals or families and are illustrative of the spread of these texts within various strata of ancient Jewish society. The historical context of most manuscript depositions in the Judaean Desert is characterized by violence and conflict, and such a context probably also typified the deposition of the Qumran manuscripts. In contrast to at least some of the other Judaean Desert sites where refugees hid with their manuscripts, the deposition evidence at Qumran may suggest an anticipation of such violence. The movement behind the Dead Sea Scrolls can be characterized as a textual community, reflecting a milieu of Jewish intellectuals who were engaged on various levels with their ancestral traditions. The collection of texts attracted people and shaped their thinking, while at the same time people shaped the collection, producing and gathering more texts. In this sense, the site of Qumran and its surrounding caves functioned like a storehouse for scrolls. |
<|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:"SIZE AND SHAPE COMPONENTS OF ANTHROPOMETRIC DIFFERENCES AMONG THE YANADIS."
Abstract:"Size and shape components of Mahalanobis D2 were computed from a set of anthropometric characters among the Yanadis, a tribe in the south eastern part of Andhra Pradesh, India. These people are in a transitional stage of development and show differences in sociocultural variables between different geographical regions. From the study it appears that the pattern of differences due to size and shape is the same as that of general distance, irrespective of whether the distances were computed for male, female or pooled data, with some exceptions for females. The noteworthy finding is that the shape components for men and women dominate and are more similar than corresponding size components, thereby indicating that males and females are morphologically similar with respect to their relative measurements. The association of the morphological distances for the five breeding populations with the corresponding road, map and migrational distances were also investigated using simple and partial correlations. The results suggest that the migrational distance among the three is the strongest influencing factor for the morphological differences. The road distance also maintains a very high degree of association, especially with shape components.."
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 = [0];
Q6 = [1]. | abs05237 | 10.1080/03014468900000582 | SIZE AND SHAPE COMPONENTS OF ANTHROPOMETRIC DIFFERENCES AMONG THE YANADIS | Size and shape components of Mahalanobis D2 were computed from a set of anthropometric characters among the Yanadis, a tribe in the south eastern part of Andhra Pradesh, India. These people are in a transitional stage of development and show differences in sociocultural variables between different geographical regions. From the study it appears that the pattern of differences due to size and shape is the same as that of general distance, irrespective of whether the distances were computed for male, female or pooled data, with some exceptions for females. The noteworthy finding is that the shape components for men and women dominate and are more similar than corresponding size components, thereby indicating that males and females are morphologically similar with respect to their relative measurements. The association of the morphological distances for the five breeding populations with the corresponding road, map and migrational distances were also investigated using simple and partial correlations. The results suggest that the migrational distance among the three is the strongest influencing factor for the morphological differences. The road distance also maintains a very high degree of association, especially with shape components. |
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