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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:"Effectiveness of Human Mobility Change in Reducing the Spread of COVID-19: Ecological Study of Kingdom of Saudi Arabia."
Abstract:"Non-pharmacological interventions including mobility restriction have been developed to curb transmission of SARS-CoV-2. We provided precise estimates of disease burden and examined the impact of mobility restriction on reducing the COVID-19 effective reproduction number in the Kingdom of Saudi Arabia. This study involved secondary analysis of open-access COVID-19 data obtained from different sources between 2 March and 26 December 2020. The dependent and main independent variables of interest were the effective reproduction number and anonymized mobility indices, respectively. Multiple linear regression was used to investigate the relationship between the community mobility change and the effective reproduction number for COVID-19. By 26 December 2020, the total number of COVID-19 cases in Saudi Arabia reached 360,690, with a cumulative incidence rate of 105.41/10,000 population. Al Jouf, Northern Border, and Jazan regions were >= 2.5 times (OR = 2.93; 95% CI: 1.29-6.64), (OR = 2.50; 95% CI: 1.08-5.81), and (OR = 2.51; 95% CI: 1.09-5.79) more likely to have a higher case fatality rate than Riyadh, the capital. Mobility changes in public and residential areas were significant predictors of the COVID-19 effective reproduction number. This study demonstrated that community mobility restrictions effectively control transmission of the COVID-19 virus.."
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]. | abs18516 | 10.3390/su14063368 | Effectiveness of Human Mobility Change in Reducing the Spread of COVID-19: Ecological Study of Kingdom of Saudi Arabia | Non-pharmacological interventions including mobility restriction have been developed to curb transmission of SARS-CoV-2. We provided precise estimates of disease burden and examined the impact of mobility restriction on reducing the COVID-19 effective reproduction number in the Kingdom of Saudi Arabia. This study involved secondary analysis of open-access COVID-19 data obtained from different sources between 2 March and 26 December 2020. The dependent and main independent variables of interest were the effective reproduction number and anonymized mobility indices, respectively. Multiple linear regression was used to investigate the relationship between the community mobility change and the effective reproduction number for COVID-19. By 26 December 2020, the total number of COVID-19 cases in Saudi Arabia reached 360,690, with a cumulative incidence rate of 105.41/10,000 population. Al Jouf, Northern Border, and Jazan regions were >= 2.5 times (OR = 2.93; 95% CI: 1.29-6.64), (OR = 2.50; 95% CI: 1.08-5.81), and (OR = 2.51; 95% CI: 1.09-5.79) more likely to have a higher case fatality rate than Riyadh, the capital. Mobility changes in public and residential areas were significant predictors of the COVID-19 effective reproduction number. This study demonstrated that community mobility restrictions effectively control transmission of the COVID-19 virus. |
<|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:"Machine Learning to Evaluate Impacts of Flood Protection in Bangladesh, 1983-2014."
Abstract:"Impacts of climate change adaptation strategies need to be evaluated using principled methods spanning sectors and longer time frames. We propose machine-learning approaches to study the long-term impacts of flood protection in Bangladesh. Available data include socio-economic survey and events data (death, migration, etc.) from 1983-2014. These multidecadal data, rare in their extent and quality, provide a basis for using machine-learning approaches even though the data were not collected or designed to assess the impact of the flood control investments. We test whether the embankment has affected the welfare of people over time, benefiting those living inside more than those living outside. Machine-learning approaches enable learning patterns in data to help discriminate between two groups: here households living inside vs. outside. They also help identify the most informative indicators of discrimination and provide robust metrics to evaluate the quality of the model. Overall, we find no significant difference between inside/outside populations based on welfare, migration, or mortality indicators. However, we note a significant difference in inward/outward movement with respect to the embankment. While certain data gaps and spatial heterogeneity in sampled populations suggest caution in any conclusive interpretation of the flood protection infrastructure, we do not see higher benefits accruing to those living with higher levels of protection. This has implications for Bangladesh's planning for future and more extreme climate futures, including the national Delta Plan, and global investments in climate resilient infrastructure to create positive social impacts.."
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 = [2];
Q3 = [];
Q4 = [];
Q5 = [1];
Q6 = [1]. | abs01705 | 10.3390/w12020483 | Machine Learning to Evaluate Impacts of Flood Protection in Bangladesh, 1983-2014 | Impacts of climate change adaptation strategies need to be evaluated using principled methods spanning sectors and longer time frames. We propose machine-learning approaches to study the long-term impacts of flood protection in Bangladesh. Available data include socio-economic survey and events data (death, migration, etc.) from 1983-2014. These multidecadal data, rare in their extent and quality, provide a basis for using machine-learning approaches even though the data were not collected or designed to assess the impact of the flood control investments. We test whether the embankment has affected the welfare of people over time, benefiting those living inside more than those living outside. Machine-learning approaches enable learning patterns in data to help discriminate between two groups: here households living inside vs. outside. They also help identify the most informative indicators of discrimination and provide robust metrics to evaluate the quality of the model. Overall, we find no significant difference between inside/outside populations based on welfare, migration, or mortality indicators. However, we note a significant difference in inward/outward movement with respect to the embankment. While certain data gaps and spatial heterogeneity in sampled populations suggest caution in any conclusive interpretation of the flood protection infrastructure, we do not see higher benefits accruing to those living with higher levels of protection. This has implications for Bangladesh's planning for future and more extreme climate futures, including the national Delta Plan, and global investments in climate resilient infrastructure to create positive social impacts. |
<|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:"Ukrainian Refugees in Germany: Evidence From a Large Representative Survey."
Abstract:"This study describes the first wave of the IAB-BiB/FReDA-BAMF-SOEP Survey on Ukrainian Refugees in Germany, a unique panel dataset based on over 11,000 interviews conducted between August and October 2022. The aim of the IAB-BiB/FReDA-BAMF-SOEP Survey is to provide a data-infrastructure for theory driven and evidence-based research on various aspects of integration among Ukrainian refugees in Germany, the second most important destination country in the EU after Poland, hosting over a million people who arrived in Germany shortly after the Russian invasion of Ukraine. Based on the survey, this study also provides first insights into demographic, educational, linguistic, occupational, and social characteristics of this population. The analyses revealed that the refugee population comprised mostly young and educated individuals, with a significant proportion of females without partners and female-headed separated families. While German language skills were limited, about half of Ukrainian refugees had attended or were attending language courses. However, the integration process faced significant challenges, as the participation of children in day-care was relatively low, and the self-reported life satisfaction was markedly below the average of the German population. The study highlights the need for targeted policy measures to address such issues. Additionally, policies may aim at harnessing the high potential of the Ukrainian refugees for the German labor market. Given that a substantial proportion would like to stay in Germany permanently, policymakers should take note of these findings and aim to facilitate their long-term integration process to ensure that these refugees may thrive in Germany.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs19355 | 10.12765/CPoS-2023-16 | Ukrainian Refugees in Germany: Evidence From a Large Representative Survey | This study describes the first wave of the IAB-BiB/FReDA-BAMF-SOEP Survey on Ukrainian Refugees in Germany, a unique panel dataset based on over 11,000 interviews conducted between August and October 2022. The aim of the IAB-BiB/FReDA-BAMF-SOEP Survey is to provide a data-infrastructure for theory driven and evidence-based research on various aspects of integration among Ukrainian refugees in Germany, the second most important destination country in the EU after Poland, hosting over a million people who arrived in Germany shortly after the Russian invasion of Ukraine. Based on the survey, this study also provides first insights into demographic, educational, linguistic, occupational, and social characteristics of this population. The analyses revealed that the refugee population comprised mostly young and educated individuals, with a significant proportion of females without partners and female-headed separated families. While German language skills were limited, about half of Ukrainian refugees had attended or were attending language courses. However, the integration process faced significant challenges, as the participation of children in day-care was relatively low, and the self-reported life satisfaction was markedly below the average of the German population. The study highlights the need for targeted policy measures to address such issues. Additionally, policies may aim at harnessing the high potential of the Ukrainian refugees for the German labor market. Given that a substantial proportion would like to stay in Germany permanently, policymakers should take note of these findings and aim to facilitate their long-term integration process to ensure that these refugees may thrive in Germany. |
<|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:"Climate Change and Health on the US Gulf Coast: Public Health Adaptation is Needed to Address Future Risks."
Abstract:"The impacts of climate change on human health have been documented globally and in the United States. Numerous studies project greater morbidity and mortality as a result of extreme weather events and other climate-sensitive hazards. Public health impacts on the U.S. Gulf Coast may be severe as the region is expected to experience increases in extreme temperatures, sea level rise, and possibly fewer but more intense hurricanes. Through myriad pathways, climate change is likely to make the Gulf Coast less hospitable and more dangerous for its residents, and may prompt substantial migration from and into the region. Public health impacts may be further exacerbated by the concentration of people and infrastructure, as well as the region's coastal geography. Vulnerable populations, including the very young, elderly, and socioeconomically disadvantaged may face particularly high threats to their health and well-being. This paper provides an overview of potential public health impacts of climate variability and change on the Gulf Coast, with a focus on the region's unique vulnerabilities, and outlines recommendations for improving the region's ability to minimize the impacts of climate-sensitive hazards. Public health adaptation aimed at improving individual, public health system, and infrastructure resilience is urgently needed to meet the challenges climate change may pose to the Gulf Coast in the coming decades.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [1,2];
Q3 = [];
Q4 = [22,40];
Q5 = [1];
Q6 = [1]. | abs03082 | 10.3390/ijerph120809342 | Climate Change and Health on the US Gulf Coast: Public Health Adaptation is Needed to Address Future Risks | The impacts of climate change on human health have been documented globally and in the United States. Numerous studies project greater morbidity and mortality as a result of extreme weather events and other climate-sensitive hazards. Public health impacts on the U.S. Gulf Coast may be severe as the region is expected to experience increases in extreme temperatures, sea level rise, and possibly fewer but more intense hurricanes. Through myriad pathways, climate change is likely to make the Gulf Coast less hospitable and more dangerous for its residents, and may prompt substantial migration from and into the region. Public health impacts may be further exacerbated by the concentration of people and infrastructure, as well as the region's coastal geography. Vulnerable populations, including the very young, elderly, and socioeconomically disadvantaged may face particularly high threats to their health and well-being. This paper provides an overview of potential public health impacts of climate variability and change on the Gulf Coast, with a focus on the region's unique vulnerabilities, and outlines recommendations for improving the region's ability to minimize the impacts of climate-sensitive hazards. Public health adaptation aimed at improving individual, public health system, and infrastructure resilience is urgently needed to meet the challenges climate change may pose to the Gulf Coast in the coming decades. |
<|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:"Biodistance Evidence of Gene Flow from the Kayenta Region."
Abstract:"Socioeconomic upheaval and environmental degradation pressured people in the Kayenta region of northeast Arizona to move south into large pueblo communities Boo years ago. This study tests if gene flow followed these migrations. Ten anatomical coordinate points were measured from left temporal bones of 204 individuals from Kayenta Region Black Mesa sites and three large pueblo communities. Results of Canonical Variate, Mahalanobis and Procrustes distances demonstrate significant distances between groups except Point of Pines Pueblo and Black Mesa. This suggests gene flow occurred among Kayenta region immigrants, their descendants at Point of Pines Pueblo, and people from earlier Black Mesa sites representing a premigration population. Diverse people buried at Grasshopper Pueblo indicate people of different origins co-resided there, yet gene flow was limited with other groups in this analysis. Migration, co-residence, and admixture that ultimately led to gene flow variably occurred in large pueblo communities south of the Mogollon Rim.."
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]. | abs20132 | 10.1080/00231940.2018.1517201 | Biodistance Evidence of Gene Flow from the Kayenta Region | Socioeconomic upheaval and environmental degradation pressured people in the Kayenta region of northeast Arizona to move south into large pueblo communities Boo years ago. This study tests if gene flow followed these migrations. Ten anatomical coordinate points were measured from left temporal bones of 204 individuals from Kayenta Region Black Mesa sites and three large pueblo communities. Results of Canonical Variate, Mahalanobis and Procrustes distances demonstrate significant distances between groups except Point of Pines Pueblo and Black Mesa. This suggests gene flow occurred among Kayenta region immigrants, their descendants at Point of Pines Pueblo, and people from earlier Black Mesa sites representing a premigration population. Diverse people buried at Grasshopper Pueblo indicate people of different origins co-resided there, yet gene flow was limited with other groups in this analysis. Migration, co-residence, and admixture that ultimately led to gene flow variably occurred in large pueblo communities south of the Mogollon Rim. |
<|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:"Disease-driven reduction in human mobility influences human-mosquito contacts and dengue transmission dynamics."
Abstract:"Heterogeneous exposure to mosquitoes determines an individual's contribution to vector-borne pathogen transmission. Particularly for dengue virus (DENV), there is a major difficulty in quantifying human-vector contacts due to the unknown coupled effect of key heterogeneities. To test the hypothesis that the reduction of human out-of-home mobility due to dengue illness will significantly influence population-level dynamics and the structure of DENV transmission chains, we extended an existing modeling framework to include social structure, disease-driven mobility reductions, and heterogeneous transmissibility from different infectious groups. Compared to a baseline model, naive to human pre-symptomatic infectiousness and disease-driven mobility changes, a model including both parameters predicted an increase of 37% in the probability of a DENV outbreak occurring; a model including mobility change alone predicted a 15.5% increase compared to the baseline model. At the individual level, models including mobility change led to a reduction of the importance of out-of-home onward transmission (R, the fraction of secondary cases predicted to be generated by an individual) by symptomatic individuals (up to -62%) at the expense of an increase in the relevance of their home (up to +40%). An individual's positive contribution to R could be predicted by a GAM including a non-linear interaction between an individual's biting suitability and the number of mosquitoes in their home (>10 mosquitoes and 0.6 individual attractiveness significantly increased R). We conclude that the complex fabric of social relationships and differential behavioral response to dengue illness cause the fraction of symptomatic DENV infections to concentrate transmission in specific locations, whereas asymptomatic carriers (including individuals in their pre-symptomatic period) move the virus throughout the landscape. Our findings point to the difficulty of focusing vector control interventions reactively on the home of symptomatic individuals, as this approach will fail to contain virus propagation by visitors to their house and asymptomatic carriers. Author summary Human mobility patterns can play an integral role in vector-borne disease dynamics by characterizing an individual's potential contacts with disease-transmitting vectors. Dengue virus is transmitted by a sedentary vector, but human mobility allows individuals to have contact with mosquitoes at their home and other houses they frequent (their activity space). When accounting for the decreased mobility of symptomatic dengue cases in an agent-based simulation model, however, we found a severely diminished role of the activity space in onward transmission. Those who received the majority of their mosquito contacts outside their home experienced decreases in expected bites and onward transmission when mobility changes were accounted for. Onward transmission was driven by a synergistic relationship between the number of mosquito."
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 = [];
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Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
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Q6 = [1]. | abs17035 | 10.1371/journal.pcbi.1008627 | Disease-driven reduction in human mobility influences human-mosquito contacts and dengue transmission dynamics | Heterogeneous exposure to mosquitoes determines an individual's contribution to vector-borne pathogen transmission. Particularly for dengue virus (DENV), there is a major difficulty in quantifying human-vector contacts due to the unknown coupled effect of key heterogeneities. To test the hypothesis that the reduction of human out-of-home mobility due to dengue illness will significantly influence population-level dynamics and the structure of DENV transmission chains, we extended an existing modeling framework to include social structure, disease-driven mobility reductions, and heterogeneous transmissibility from different infectious groups. Compared to a baseline model, naive to human pre-symptomatic infectiousness and disease-driven mobility changes, a model including both parameters predicted an increase of 37% in the probability of a DENV outbreak occurring; a model including mobility change alone predicted a 15.5% increase compared to the baseline model. At the individual level, models including mobility change led to a reduction of the importance of out-of-home onward transmission (R, the fraction of secondary cases predicted to be generated by an individual) by symptomatic individuals (up to -62%) at the expense of an increase in the relevance of their home (up to +40%). An individual's positive contribution to R could be predicted by a GAM including a non-linear interaction between an individual's biting suitability and the number of mosquitoes in their home (>10 mosquitoes and 0.6 individual attractiveness significantly increased R). We conclude that the complex fabric of social relationships and differential behavioral response to dengue illness cause the fraction of symptomatic DENV infections to concentrate transmission in specific locations, whereas asymptomatic carriers (including individuals in their pre-symptomatic period) move the virus throughout the landscape. Our findings point to the difficulty of focusing vector control interventions reactively on the home of symptomatic individuals, as this approach will fail to contain virus propagation by visitors to their house and asymptomatic carriers. Author summary Human mobility patterns can play an integral role in vector-borne disease dynamics by characterizing an individual's potential contacts with disease-transmitting vectors. Dengue virus is transmitted by a sedentary vector, but human mobility allows individuals to have contact with mosquitoes at their home and other houses they frequent (their activity space). When accounting for the decreased mobility of symptomatic dengue cases in an agent-based simulation model, however, we found a severely diminished role of the activity space in onward transmission. Those who received the majority of their mosquito contacts outside their home experienced decreases in expected bites and onward transmission when mobility changes were accounted for. Onward transmission was driven by a synergistic relationship between the number of mosquitoes in an individual's home and their biting suitability, where even those with the highest biting suitability would have limited contribution to transmission given a low number of household mosquitoes. Reactive vector control, which often targets symptomatic cases, could be effective for slowing onward transmission from these cases, but will fail to control virus transmission due to the disproportionate contribution of asymptomatic infections. |
<|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:"Gender and ethnicity differences in the prevalence of traumatic events: evidence from a New Zealand community sample."
Abstract:"One thousand five hundred community residing New Zealand adults were assessed regarding their experience of traumatic events. Sixty-one per cent of those surveyed reported exposure to a traumatic event during their lifetime. Unexpected death of a close friend or relative was the most prevalent traumatic experience for the present sample, whereas combat and natural disasters were the least prevalent traumatic events. Consistent with prior research demonstrating gender differences in exposure to traumatic events, child and adult sexual assault was more common among women, and motor vehicle accidents and combat were more common among men. The present study also found that Maori individuals (indigenous people) had experienced a number of traumatic events to a greater extent than their European counterparts. These results are discussed within the New Zealand social context. Copyright (C) 2004 John Wiley Sons, Ltd.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [6];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [1]. | abs16895 | 10.1002/smi.1014 | Gender and ethnicity differences in the prevalence of traumatic events: evidence from a New Zealand community sample | One thousand five hundred community residing New Zealand adults were assessed regarding their experience of traumatic events. Sixty-one per cent of those surveyed reported exposure to a traumatic event during their lifetime. Unexpected death of a close friend or relative was the most prevalent traumatic experience for the present sample, whereas combat and natural disasters were the least prevalent traumatic events. Consistent with prior research demonstrating gender differences in exposure to traumatic events, child and adult sexual assault was more common among women, and motor vehicle accidents and combat were more common among men. The present study also found that Maori individuals (indigenous people) had experienced a number of traumatic events to a greater extent than their European counterparts. These results are discussed within the New Zealand social context. Copyright (C) 2004 John Wiley Sons, Ltd. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Selective migration and mortality by economic status in Lolland-Falster, Denmark, 1992-2018."
Abstract:"During the past 30 years, a mortality gap developed between Lolland-Falster (the rural-provincial southeastern part) and the rest of Denmark. A main driver was selective in-migration of Danes with a high risk of death, especially of working-ages. In the present study, we determined the role of economic status in this selective in-migration. We used individual-level data from the Central Population Register and data on income source; self- or publicly supported. The study population included people aged 30-64 and living in Denmark at any time between 1992 and 2018. Mortality rate ratios (MRR) were calculated using Poisson regression for three time-periods: 1992-1999, 2000-2009 and 2010-2018. Two in five in-migrants to Lolland-Falster were people on public support. In 2010-2018, they had an MRR of 8.71 (95% confidence interval (CI): 8.05-9.42) compared with self-supported people, and an MRR of 1.49 (95% CI: 1.38-1.61) compared with publicly supported people elsewhere in Denmark. In-migration of working-aged people on public support was a main contributor to the excess mortality in Lolland-Falster as compared with the rest of Denmark. To understand urban-rural differences in health, population movements and national income patterns are important to take into account.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [3];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs19679 | 10.1038/s41598-022-24635-2 | Selective migration and mortality by economic status in Lolland-Falster, Denmark, 1992-2018 | During the past 30 years, a mortality gap developed between Lolland-Falster (the rural-provincial southeastern part) and the rest of Denmark. A main driver was selective in-migration of Danes with a high risk of death, especially of working-ages. In the present study, we determined the role of economic status in this selective in-migration. We used individual-level data from the Central Population Register and data on income source; self- or publicly supported. The study population included people aged 30-64 and living in Denmark at any time between 1992 and 2018. Mortality rate ratios (MRR) were calculated using Poisson regression for three time-periods: 1992-1999, 2000-2009 and 2010-2018. Two in five in-migrants to Lolland-Falster were people on public support. In 2010-2018, they had an MRR of 8.71 (95% confidence interval (CI): 8.05-9.42) compared with self-supported people, and an MRR of 1.49 (95% CI: 1.38-1.61) compared with publicly supported people elsewhere in Denmark. In-migration of working-aged people on public support was a main contributor to the excess mortality in Lolland-Falster as compared with the rest of Denmark. To understand urban-rural differences in health, population movements and national income patterns are important to take into account. |
<|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:"Existing human mobility data sources poorly predicted the spatial spread of SARS-CoV-2 in Madagascar."
Abstract:"For emerging epidemics such as the COVID-19 pandemic, quantifying travel is a key component of developing accurate predictive models of disease spread to inform public health planning. However, in many LMICs, traditional data sets on travel such as commuting surveys as well as non-traditional sources such as mobile phone data are lacking, or, where available, have only rarely been leveraged by the public health community. Evaluating the accuracy of available data to measure transmission-relevant travel may be further hampered by limited reporting of suspected and laboratory confirmed infections. Here, we leverage case data collected as part of a COVID-19 dashboard collated via daily reports from the Malagasy authorities on reported cases of SARS-CoV-2 across the 22 regions of Madagascar. We compare the order of the timing of when cases were reported with predictions from a SARS-CoV-2 metapopulation model of Madagascar informed using various measures of connectivity including a gravity model based on different measures of distance, Internal Migration Flow data, and mobile phone data. Overall, the models based on mobile phone connectivity and the gravity-based on Euclidean distance best predicted the observed spread. The ranks of the regions most remote from the capital were more difficult to predict but interestingly, regions where the mobile phone connectivity model was more accurate differed from those where the gravity model was most accurate. This suggests that there may be additional features of mobility or connectivity that were consistently underestimated using all approaches but are epidemiologically relevant. This work highlights the importance of data availability and strengthening collaboration among different institutions with access to critical data -models are only as good as the data that they use, so building towards effective data-sharing pipelines is essential.."
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 = [1];
Q4 = [];
Q5 = [];
Q6 = [1]. | abs18556 | 10.1016/j.epidem.2021.100534 | Existing human mobility data sources poorly predicted the spatial spread of SARS-CoV-2 in Madagascar | For emerging epidemics such as the COVID-19 pandemic, quantifying travel is a key component of developing accurate predictive models of disease spread to inform public health planning. However, in many LMICs, traditional data sets on travel such as commuting surveys as well as non-traditional sources such as mobile phone data are lacking, or, where available, have only rarely been leveraged by the public health community. Evaluating the accuracy of available data to measure transmission-relevant travel may be further hampered by limited reporting of suspected and laboratory confirmed infections. Here, we leverage case data collected as part of a COVID-19 dashboard collated via daily reports from the Malagasy authorities on reported cases of SARS-CoV-2 across the 22 regions of Madagascar. We compare the order of the timing of when cases were reported with predictions from a SARS-CoV-2 metapopulation model of Madagascar informed using various measures of connectivity including a gravity model based on different measures of distance, Internal Migration Flow data, and mobile phone data. Overall, the models based on mobile phone connectivity and the gravity-based on Euclidean distance best predicted the observed spread. The ranks of the regions most remote from the capital were more difficult to predict but interestingly, regions where the mobile phone connectivity model was more accurate differed from those where the gravity model was most accurate. This suggests that there may be additional features of mobility or connectivity that were consistently underestimated using all approaches but are epidemiologically relevant. This work highlights the importance of data availability and strengthening collaboration among different institutions with access to critical data -models are only as good as the data that they use, so building towards effective data-sharing pipelines is essential. |
<|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 experiences and meanings of recovery for Swazi women living with schizophrenia."
Abstract:"Accessible summaryWhat is known on the subject? While there is no single definition of the concept of recovery for people with mental illness, hope has been recognized as a guiding principle; the belief that it is possible for a person to regain a meaningful life, despite serious mental illness. Little is known about the recovery process of women diagnosed with schizophrenia per se, with only six studies offering the woman's voice identified and these all having taken place in developed countries. No studies on this topic have been carried out in Sub-Saharan Africa, including Swaziland. What this paper adds to existing knowledge? This study provides unique insight into what is important to Swazi women, diagnosed with schizophrenia, in their process of their recovery. Because of current trends in migration, the findings of this study may provide mental health professionals with a better understand of the needs of those from this particular Sub-Saharan country. The study discusses a range of issues affecting women including being labelled as mentally ill, stigma and discrimination, the importance of the sociocultural context of illness and positive attributes which promote women's recovery. What are the implications for practice? This study provides mental health practitioners with insights and understanding of the lives of women from a Sub-Saharan developing country. This will be helpful for better understanding of the context of mental illness both for practitioners supporting the development of services in such countries and for those working in Western countries with migrant populations. Introduction Globally, twenty-four million people live with schizophrenia, 90% living in developing countries. While most Western cultures recognize service user expertise within the recovery process, this is not evident in developing countries. In particular, Swazi women diagnosed with schizophrenia experience stigma from family, community and care providers, thus compromising their recovery process. Aim This study aimed to explore the experiences and meanings of recovery for Swazi women living with schizophrenia. Methodology Interpretive phenomenological analysis was used. Fifteen women were recruited from Swaziland National Psychiatric Hospital out-patients' department, and face-to-face interviews were conducted. Findings Four super-ordinate themes were identified: (a) The emotionality of illness of the brain; (b) Pain! Living with the illness and with others; (c) She is mad just ignore her; and (d) Being better. Discussion Discussion focuses on the findings of this study and a number of positive and negative implications emanating from them: labelling, stigma and the roles of family, culture and religious beliefs on the process of recovery. Implications for practice This study provides practitioners with insight into the importance of the sociocultural context of the lives of women diagnosed with schizophrenia and how, in understanding this, mental health c."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs20098 | 10.1111/jpm.12520 | The experiences and meanings of recovery for Swazi women living with schizophrenia | Accessible summaryWhat is known on the subject? While there is no single definition of the concept of recovery for people with mental illness, hope has been recognized as a guiding principle; the belief that it is possible for a person to regain a meaningful life, despite serious mental illness. Little is known about the recovery process of women diagnosed with schizophrenia per se, with only six studies offering the woman's voice identified and these all having taken place in developed countries. No studies on this topic have been carried out in Sub-Saharan Africa, including Swaziland. What this paper adds to existing knowledge? This study provides unique insight into what is important to Swazi women, diagnosed with schizophrenia, in their process of their recovery. Because of current trends in migration, the findings of this study may provide mental health professionals with a better understand of the needs of those from this particular Sub-Saharan country. The study discusses a range of issues affecting women including being labelled as mentally ill, stigma and discrimination, the importance of the sociocultural context of illness and positive attributes which promote women's recovery. What are the implications for practice? This study provides mental health practitioners with insights and understanding of the lives of women from a Sub-Saharan developing country. This will be helpful for better understanding of the context of mental illness both for practitioners supporting the development of services in such countries and for those working in Western countries with migrant populations. Introduction Globally, twenty-four million people live with schizophrenia, 90% living in developing countries. While most Western cultures recognize service user expertise within the recovery process, this is not evident in developing countries. In particular, Swazi women diagnosed with schizophrenia experience stigma from family, community and care providers, thus compromising their recovery process. Aim This study aimed to explore the experiences and meanings of recovery for Swazi women living with schizophrenia. Methodology Interpretive phenomenological analysis was used. Fifteen women were recruited from Swaziland National Psychiatric Hospital out-patients' department, and face-to-face interviews were conducted. Findings Four super-ordinate themes were identified: (a) The emotionality of illness of the brain; (b) Pain! Living with the illness and with others; (c) She is mad just ignore her; and (d) Being better. Discussion Discussion focuses on the findings of this study and a number of positive and negative implications emanating from them: labelling, stigma and the roles of family, culture and religious beliefs on the process of recovery. Implications for practice This study provides practitioners with insight into the importance of the sociocultural context of the lives of women diagnosed with schizophrenia and how, in understanding this, mental health care could be improved. |
<|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:"Meaningful Work and Satisfaction with Life: A Case Study from a Supported Employment Program-Colombia."
Abstract:"Work helps to satisfy instrumental and transcendental needs. For people affected by armed conflict, work has an additional value because it helps them overcome the social disadvantage they suffer; however, topics such as meaningful work-MW-have been poorly studied in this type of population. Based on the above, we propose to analyze the relationship between meaningful work and satisfaction with life in one of the largest private supported employment programs for people involved in the armed conflict in Colombia. To this end, a nonexperimental, quantitative case study was conducted with 62 employees of that employment program. To collect the data, a survey with two measurement scales was administered: Work as Meaning Inventory and Satisfaction with Life Scale. Sociodemographic variables were also obtained. The results demonstrate that meaningful work has a significant effect on satisfaction with life (R-2 = 0.28, p < 0.00). We conclude that having meaningful work that provides a sense of belonging, interpersonal connection, and attachment generates greater satisfaction with life in the workers involved in the analyzed program. We also discuss the implications of this research for companies and public policy in Colombia.."
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]. | abs21113 | 10.3390/bs12070229 | Meaningful Work and Satisfaction with Life: A Case Study from a Supported Employment Program-Colombia | Work helps to satisfy instrumental and transcendental needs. For people affected by armed conflict, work has an additional value because it helps them overcome the social disadvantage they suffer; however, topics such as meaningful work-MW-have been poorly studied in this type of population. Based on the above, we propose to analyze the relationship between meaningful work and satisfaction with life in one of the largest private supported employment programs for people involved in the armed conflict in Colombia. To this end, a nonexperimental, quantitative case study was conducted with 62 employees of that employment program. To collect the data, a survey with two measurement scales was administered: Work as Meaning Inventory and Satisfaction with Life Scale. Sociodemographic variables were also obtained. The results demonstrate that meaningful work has a significant effect on satisfaction with life (R-2 = 0.28, p < 0.00). We conclude that having meaningful work that provides a sense of belonging, interpersonal connection, and attachment generates greater satisfaction with life in the workers involved in the analyzed program. We also discuss the implications of this research for companies and public policy in Colombia. |
<|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:"How did human dwelling and working intensity change over different stages of COVID-19 in Beijing?."
Abstract:"The COVID-19 pandemic has changed human daily activities significantly. Understanding the nature, causes, and extent of these changes is essential to evaluate the pandemic's influence on commerce, transportation, employment, and environment, among others. However, existing studies mainly focus on changes to general human mobility patterns; few have investigated changes in specific human daily activities. Based on one-year longitudinal mobile phone positioning data for more than 31 million users in Beijing, we tracked intensity changes in two basic human daily activities, dwelling and working, over the stages of COVID-19. The results show that during COVID-19 outbreak, human working intensity decreased about 60% citywide, while dwelling intensity decreased about 40% in some work and education areas. After COVID-19 was under control, intensity in most regions has recovered, but that in schools, hotels, entertainment venues, and tourism areas has not. These intensity changes at regional scale are due to behavior changes at individual scale: about 43% of residents left Beijing before COVID-19, while only 16% have returned back; all commuters decreased their commuting times during COVID-19, while only 75% have reverted to normal. The findings reveal variations in human activities caused by COVID-19 that can support targeted urban management in the post-epidemic era.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [1];
Q6 = [1]. | abs09931 | 10.1016/j.scs.2021.103206 | How did human dwelling and working intensity change over different stages of COVID-19 in Beijing? | The COVID-19 pandemic has changed human daily activities significantly. Understanding the nature, causes, and extent of these changes is essential to evaluate the pandemic's influence on commerce, transportation, employment, and environment, among others. However, existing studies mainly focus on changes to general human mobility patterns; few have investigated changes in specific human daily activities. Based on one-year longitudinal mobile phone positioning data for more than 31 million users in Beijing, we tracked intensity changes in two basic human daily activities, dwelling and working, over the stages of COVID-19. The results show that during COVID-19 outbreak, human working intensity decreased about 60% citywide, while dwelling intensity decreased about 40% in some work and education areas. After COVID-19 was under control, intensity in most regions has recovered, but that in schools, hotels, entertainment venues, and tourism areas has not. These intensity changes at regional scale are due to behavior changes at individual scale: about 43% of residents left Beijing before COVID-19, while only 16% have returned back; all commuters decreased their commuting times during COVID-19, while only 75% have reverted to normal. The findings reveal variations in human activities caused by COVID-19 that can support targeted urban management in the post-epidemic era. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Re-Imagining the Resettlement of Refugees by Engaging with an Ethic of Thriving."
Abstract:"Learning to thrive in the context of refugee resettlement can be a difficult task to consider and sustain when so much focus is given to promoting survival, recovery from trauma and self-sufficiency. It is argued that this resettlement paradigm is rooted in notions of refugee passivity, primarily motivated by a minimalistic approach to social assimilation. We argue this resettlement paradigm suffocates thriving by imposing the government's aim of achieving independence instead of privileging the newly arrived person, their lived experiences, dreams and aspirations. This article shares how an ethic of thriving in resettlement, with its focus on relationality, could transform the way we think about 'integration' and what 'successful resettlement' means within the Australian context. To anchor what the ethic of thriving offers the resettlement sector we share lessons learned from applying a thriving paradigm to YoungMlLE-a mentorship project dedicated to launching young refugee arrived leaders in the community. This unique programme embraced relational, experimental and exploratory approaches characterised by flexibility, mutual learning, curiosity, listening to bigger goals and acknowledging the skill sets of people's past experiences. Importantly, the project also prioritised connecting people of refugee background and the host community to promote meaningful integration.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs11239 | 10.1093/bjsw/bcaa135 | Re-Imagining the Resettlement of Refugees by Engaging with an Ethic of Thriving | Learning to thrive in the context of refugee resettlement can be a difficult task to consider and sustain when so much focus is given to promoting survival, recovery from trauma and self-sufficiency. It is argued that this resettlement paradigm is rooted in notions of refugee passivity, primarily motivated by a minimalistic approach to social assimilation. We argue this resettlement paradigm suffocates thriving by imposing the government's aim of achieving independence instead of privileging the newly arrived person, their lived experiences, dreams and aspirations. This article shares how an ethic of thriving in resettlement, with its focus on relationality, could transform the way we think about 'integration' and what 'successful resettlement' means within the Australian context. To anchor what the ethic of thriving offers the resettlement sector we share lessons learned from applying a thriving paradigm to YoungMlLE-a mentorship project dedicated to launching young refugee arrived leaders in the community. This unique programme embraced relational, experimental and exploratory approaches characterised by flexibility, mutual learning, curiosity, listening to bigger goals and acknowledging the skill sets of people's past experiences. Importantly, the project also prioritised connecting people of refugee background and the host community to promote meaningful integration. |
<|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 Semantic-Based Approach for Privacy-Preserving in Trajectory Publishing."
Abstract:"The increasing abundance of data in the trajectories of personal movement opens up new opportunities for analyzing and mining human mobility. But the inherent personal information in the data raises the privacy concern. In this paper, the trajectories are not simply considered as a sequence of the coordinates in Euclidean space, they combine the semantics-aware information with the background knowledge of underlying map for the location points. A novel approach is then proposed to conceal the actually visited sensitive places. To this end, a cloaking region for each personalized sensitive place is built before a reasonable dummy trajectory in the cloaking region is constructed. The performance of our approach is evaluated based on a real-world trajectories dataset. And the results show that the proposed approach outperforms the existing privacy-preserving approaches.."
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]. | abs13933 | 10.1109/ACCESS.2020.3030038 | A Semantic-Based Approach for Privacy-Preserving in Trajectory Publishing | The increasing abundance of data in the trajectories of personal movement opens up new opportunities for analyzing and mining human mobility. But the inherent personal information in the data raises the privacy concern. In this paper, the trajectories are not simply considered as a sequence of the coordinates in Euclidean space, they combine the semantics-aware information with the background knowledge of underlying map for the location points. A novel approach is then proposed to conceal the actually visited sensitive places. To this end, a cloaking region for each personalized sensitive place is built before a reasonable dummy trajectory in the cloaking region is constructed. The performance of our approach is evaluated based on a real-world trajectories dataset. And the results show that the proposed approach outperforms the existing privacy-preserving approaches. |
<|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 capital, gender, and labor force incorporation: The case of immigrants from the Former Soviet Union."
Abstract:"Women immigrating to the United States from the Former Soviet Union (FSU) were expected to incorporate seamlessly into the US labor force because of their strong educational and professional backgrounds. Using 2000 Census data, we find that FSU women were less successful than both FSU men and other non-Hispanic white female immigrants. After controlling for other factors, FSU women were more likely to rely on public assistance and less likely to be employed. If employed, they worked in less prestigious occupations and earned much less. These findings draw attention to the particular difficulties of incorporation of this wave of relatively advantaged immigrants.."
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 = [1];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs16109 | 10.1177/0020715210377151 | Human capital, gender, and labor force incorporation: The case of immigrants from the Former Soviet Union | Women immigrating to the United States from the Former Soviet Union (FSU) were expected to incorporate seamlessly into the US labor force because of their strong educational and professional backgrounds. Using 2000 Census data, we find that FSU women were less successful than both FSU men and other non-Hispanic white female immigrants. After controlling for other factors, FSU women were more likely to rely on public assistance and less likely to be employed. If employed, they worked in less prestigious occupations and earned much less. These findings draw attention to the particular difficulties of incorporation of this wave of relatively advantaged immigrants. |
<|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:"Five Questions for Digital Migration Studies: Learning From Digital Connectivity and Forced Migration In(to) Europe."
Abstract:"This Special Collection Forced migration and digital connectivity in(to) Europe historicizes, contextualizes, empirically grounds, and conceptually reflects on the impact of digital technologies on forced migration. In this introductory essay, we elaborate digital migration as a developing field of research. Taking the exceptional attention for digital mediation within the recent so-called European refugee crisis as a starting point, we reflect on the main conceptual, methodological and ethical challenges for this emerging field and how it is taking shape through interdisciplinary dialogues and in interaction with policy and public debate. Our discussion is organized around five central questions: (1) Why Europe? (2) Where are the field and focus of digital migration studies? (3) Where is the human in digital migration? (4) Where is the political in digital migration? and (5) How can we de-center Europe in digital migration studies? Alongside establishing common ground between various communities of scholarship, we plea for non-digital-media-centric-ness and foreground a commitment toward social change, equity and social justice.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [5];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [0]. | abs13109 | 10.1177/2056305118764425 | Five Questions for Digital Migration Studies: Learning From Digital Connectivity and Forced Migration In(to) Europe | This Special Collection Forced migration and digital connectivity in(to) Europe historicizes, contextualizes, empirically grounds, and conceptually reflects on the impact of digital technologies on forced migration. In this introductory essay, we elaborate digital migration as a developing field of research. Taking the exceptional attention for digital mediation within the recent so-called European refugee crisis as a starting point, we reflect on the main conceptual, methodological and ethical challenges for this emerging field and how it is taking shape through interdisciplinary dialogues and in interaction with policy and public debate. Our discussion is organized around five central questions: (1) Why Europe? (2) Where are the field and focus of digital migration studies? (3) Where is the human in digital migration? (4) Where is the political in digital migration? and (5) How can we de-center Europe in digital migration studies? Alongside establishing common ground between various communities of scholarship, we plea for non-digital-media-centric-ness and foreground a commitment toward social change, equity and social justice. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"TRENDS IN CANCER MORTALITY AMONG PUERTO-RICAN BORN MIGRANTS TO NEW-YORK-CITY."
Abstract:"Age standardized cancer death rates in Puerto Rican-born males and females residing in New York City have been calculated for 1979-81, and compared with those for white non-Puerto Rican-born people. For all population groups the rates in 1979-81 have been compared with rates in 1969-71. For some cancer sites, in particular cancers of the lung, breast and ovary, the Puerto Rican migrant populations exhibited rates well below those of other residents of New York at both time periods. For other sites, most notably colon cancer (and to a lesser extent, prostate and bladder cancer), the rates for Puerto Ricans were somewhat lower than those of other New Yorkers in 1979-81, but had very markedly increased from levels shown in earlier period. The Puerto Rican-born population at each time period had considerably higher rates of stomach cancer and cervical cancer than did other white New Yorkers. Although substantial reductions in risk for these sites occurred among Puerto Ricans during the intercensal period examined, these corresponded to the reductions among other white New York residents. The trends are discussed with reference to differences in lifestyle patterns, especially diet.."
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]. | abs05254 | 10.1093/ije/15.1.30 | TRENDS IN CANCER MORTALITY AMONG PUERTO-RICAN BORN MIGRANTS TO NEW-YORK-CITY | Age standardized cancer death rates in Puerto Rican-born males and females residing in New York City have been calculated for 1979-81, and compared with those for white non-Puerto Rican-born people. For all population groups the rates in 1979-81 have been compared with rates in 1969-71. For some cancer sites, in particular cancers of the lung, breast and ovary, the Puerto Rican migrant populations exhibited rates well below those of other residents of New York at both time periods. For other sites, most notably colon cancer (and to a lesser extent, prostate and bladder cancer), the rates for Puerto Ricans were somewhat lower than those of other New Yorkers in 1979-81, but had very markedly increased from levels shown in earlier period. The Puerto Rican-born population at each time period had considerably higher rates of stomach cancer and cervical cancer than did other white New Yorkers. Although substantial reductions in risk for these sites occurred among Puerto Ricans during the intercensal period examined, these corresponded to the reductions among other white New York residents. The trends are discussed with reference to differences in lifestyle patterns, especially diet. |
<|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 phenomenon and expressive sandwork in vulnerable populations."
Abstract:"In these times the migratory phenomenon is a crisis with alarming dimensions worldwide. Wars, human rights violations and violence within borders have pushed many people to seek asylum or have forced internal displacement. We approach this phenomenon taking into account the cultural complexes, understanding it as a process with multiple psychological, social and existential effects for those who suffer it. We find these effects symbolized in many of the processes of the children participating in Expressive Sandwork projects. Expressive Sandwork is a transcultural, non-verbal method of therapeutic care that offers psychological support to children from vulnerable populations where psychotherapy is deficient or non-existent. The aim is to allow the emergence of images that favour reconnection with the child's creative potential, activating the process of self-regulation of the psyche. Its basis in symbolic processes and empathetic accompaniment makes it a Jungian psychosocial intervention for these times of transition. In Latin America, Expressive Sandwork projects have been implemented in Colombia and Argentina. Two examples of the participating children are presented.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,6];
Q3 = [2];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs19308 | 10.1111/1468-5922.12751 | Migratory phenomenon and expressive sandwork in vulnerable populations | In these times the migratory phenomenon is a crisis with alarming dimensions worldwide. Wars, human rights violations and violence within borders have pushed many people to seek asylum or have forced internal displacement. We approach this phenomenon taking into account the cultural complexes, understanding it as a process with multiple psychological, social and existential effects for those who suffer it. We find these effects symbolized in many of the processes of the children participating in Expressive Sandwork projects. Expressive Sandwork is a transcultural, non-verbal method of therapeutic care that offers psychological support to children from vulnerable populations where psychotherapy is deficient or non-existent. The aim is to allow the emergence of images that favour reconnection with the child's creative potential, activating the process of self-regulation of the psyche. Its basis in symbolic processes and empathetic accompaniment makes it a Jungian psychosocial intervention for these times of transition. In Latin America, Expressive Sandwork projects have been implemented in Colombia and Argentina. Two examples of the participating children are presented. |
<|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:"Post-frontier forest change adjacent to Braulio Carrillo National Park, Costa Rica."
Abstract:"Effective biodiversity conservation in national parks depends to a large extent on adjacent forest cover. While deforestation and forest fragmentation as a result of colonization and agriculture have been widespread in neotropical countries over the past few decades, in some places agricultural intensification, wage labor, and rural to urban migration are becoming the most important emerging trends. Changes like this have resulted in forest recovery in other places, mostly in temperate zones, but there have been few studies of this phenomenon in the tropics. This paper presents a case study from a national park buffer zone in Costa Rica. An expansion of Braulio Carrillo National Park (BCNP) in 1986 forced the closing of a frontier that had been characterized by spontaneous colonization and widespread forest-to-pasture conversion. After that time, the Sarapiqui region surrounding the northern sector of BCNP underwent a dramatic social and economic transformation. Population more than doubled, new roads created easy access to a coastal port and the capital city (San Jose), industrial agriculture and ecotourism enterprises expanded, and population and urbanization along major highways increased. In spite of government reforestation and forest protection programs and changes in rural people's attitudes favoring forest conservation, we find that there has been only slight detectable forest recovery in satellite imagery and that forest fragmentation continued, even in remote rural areas near BCNP with stable or shrinking population. We attribute this to the consolidation of landholdings into large cattle ranches and smaller hobby ranches, driven by an inflow of capital from urban areas and developed countries. This pattern has important implications for the management of this and other national park buffer zones. We suggest that strategies focused only on sustainable land use inside buffer zones are unlikely to succeed when carried out in a context of certain macro-level changes. Conservation of endangered biological resources will only be possible if we broaden our thinking about national parks and adjacent lands in the tropics to address new land ownership and use patterns that are occurring as a result of globalization, urbanization, and expanding wage labor employment.."
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 = [16];
Q5 = [1];
Q6 = [1]. | abs04628 | 10.1007/s10745-006-9024-2 | Post-frontier forest change adjacent to Braulio Carrillo National Park, Costa Rica | Effective biodiversity conservation in national parks depends to a large extent on adjacent forest cover. While deforestation and forest fragmentation as a result of colonization and agriculture have been widespread in neotropical countries over the past few decades, in some places agricultural intensification, wage labor, and rural to urban migration are becoming the most important emerging trends. Changes like this have resulted in forest recovery in other places, mostly in temperate zones, but there have been few studies of this phenomenon in the tropics. This paper presents a case study from a national park buffer zone in Costa Rica. An expansion of Braulio Carrillo National Park (BCNP) in 1986 forced the closing of a frontier that had been characterized by spontaneous colonization and widespread forest-to-pasture conversion. After that time, the Sarapiqui region surrounding the northern sector of BCNP underwent a dramatic social and economic transformation. Population more than doubled, new roads created easy access to a coastal port and the capital city (San Jose), industrial agriculture and ecotourism enterprises expanded, and population and urbanization along major highways increased. In spite of government reforestation and forest protection programs and changes in rural people's attitudes favoring forest conservation, we find that there has been only slight detectable forest recovery in satellite imagery and that forest fragmentation continued, even in remote rural areas near BCNP with stable or shrinking population. We attribute this to the consolidation of landholdings into large cattle ranches and smaller hobby ranches, driven by an inflow of capital from urban areas and developed countries. This pattern has important implications for the management of this and other national park buffer zones. We suggest that strategies focused only on sustainable land use inside buffer zones are unlikely to succeed when carried out in a context of certain macro-level changes. Conservation of endangered biological resources will only be possible if we broaden our thinking about national parks and adjacent lands in the tropics to address new land ownership and use patterns that are occurring as a result of globalization, urbanization, and expanding wage labor employment. |
<|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:"Mining online footprints to predict user's next location."
Abstract:"Social media applications are widely deployed in mobile platforms equipped with built-in GPS tracking devices, and these devices have led to an unprecedented collection of geolocated data (geo-tags). Geo-tags, along with place names, offer new opportunities to explore the trajectory and mobility patterns of social media users. However, trajectory data captured by social media are sparsely and irregularly spaced and therefore have varying degrees of resolution in both space and time. Previous studies on next location prediction are mostly applicable for detecting the upcoming location of a moving object using dense GPS trajectories where locations are recorded at regular time intervals (e.g., 1 minute). Additionally, point features are commonly used to represent the locations of visits, but using point features cannot capture the variability of human mobility. This article introduces a new methodology to predict an individual's next location based on sparse footprints accumulated over a long time period using social networks, and uses polygons to represent the location corresponding to the physical activity area of individuals. First, the density-based spatial clustering algorithm is employed to discover the most representative activity zones that an individual frequently visits on a daily basis, and a polygon-based region is then derived for each representative activity zone. A sparse mobility Markov chain model considering both the movements and online behaviors of the social media user is trained and used to predict the user's next location. Initial experiments with a group of Washington DC Twitter users demonstrate that the proposed methodology successfully discovers the activity regions and predicts the user's next location with accuracy approaching 78.94%.."
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 = [0];
Q5 = [];
Q6 = [1]. | abs17476 | 10.1080/13658816.2016.1209506 | Mining online footprints to predict user's next location | Social media applications are widely deployed in mobile platforms equipped with built-in GPS tracking devices, and these devices have led to an unprecedented collection of geolocated data (geo-tags). Geo-tags, along with place names, offer new opportunities to explore the trajectory and mobility patterns of social media users. However, trajectory data captured by social media are sparsely and irregularly spaced and therefore have varying degrees of resolution in both space and time. Previous studies on next location prediction are mostly applicable for detecting the upcoming location of a moving object using dense GPS trajectories where locations are recorded at regular time intervals (e.g., 1 minute). Additionally, point features are commonly used to represent the locations of visits, but using point features cannot capture the variability of human mobility. This article introduces a new methodology to predict an individual's next location based on sparse footprints accumulated over a long time period using social networks, and uses polygons to represent the location corresponding to the physical activity area of individuals. First, the density-based spatial clustering algorithm is employed to discover the most representative activity zones that an individual frequently visits on a daily basis, and a polygon-based region is then derived for each representative activity zone. A sparse mobility Markov chain model considering both the movements and online behaviors of the social media user is trained and used to predict the user's next location. Initial experiments with a group of Washington DC Twitter users demonstrate that the proposed methodology successfully discovers the activity regions and predicts the user's next location with accuracy approaching 78.94%. |
<|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:"CHILDRENS EXPERIENCE OF CONFLICT RELATED EMERGENCIES - SOME IMPLICATIONS FOR RELIEF POLICY AND PRACTICE."
Abstract:"This paper challenges the limited models of childhood, conflict and relief which determine most humanitarian interventions targeting children in conflict related emergencies. In particular, it notes the tendency of relief programmes to focus on ''spectacular'' groups of children (orphans, child combatants and refugees) at the expense of larger child populations indirectly affected by conflict. This relief bias is attributed to an inappropriate 'apocalypse model' of conflict which sees relief interventions only as repair. The bias also lies in a mistakenly universalist model of childhood and a medical paradigm which pathologizes children's experience in conflict and characterizes children as passive victims rather than active survivors. The paper argues for greater recognition of the wider social experience of children in conflict, and for relief practice which takes account of childhood resilience and children's different roles and capacities in coping with conflict. Appropriate interventions must engage with the wide variety of indigenous coping mechanisms involving children and not simply replicate a standard package of relief interventions in every emergency, based on simplistic and universalist interpretations of children's experience of conflict.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4];
Q3 = [2];
Q4 = [0];
Q5 = [1];
Q6 = [0]. | abs18097 | 10.1111/j.1467-7717.1994.tb00311.x | CHILDRENS EXPERIENCE OF CONFLICT RELATED EMERGENCIES - SOME IMPLICATIONS FOR RELIEF POLICY AND PRACTICE | This paper challenges the limited models of childhood, conflict and relief which determine most humanitarian interventions targeting children in conflict related emergencies. In particular, it notes the tendency of relief programmes to focus on ''spectacular'' groups of children (orphans, child combatants and refugees) at the expense of larger child populations indirectly affected by conflict. This relief bias is attributed to an inappropriate 'apocalypse model' of conflict which sees relief interventions only as repair. The bias also lies in a mistakenly universalist model of childhood and a medical paradigm which pathologizes children's experience in conflict and characterizes children as passive victims rather than active survivors. The paper argues for greater recognition of the wider social experience of children in conflict, and for relief practice which takes account of childhood resilience and children's different roles and capacities in coping with conflict. Appropriate interventions must engage with the wide variety of indigenous coping mechanisms involving children and not simply replicate a standard package of relief interventions in every emergency, based on simplistic and universalist interpretations of children's experience of conflict. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"The scaling of contact rates with population density for the infectious disease models."
Abstract:"Contact rates and patterns among individuals in a geographic area drive transmission of directly-transmitted pathogens, making it essential to understand and estimate contacts for simulation of disease dynamics. Under the uniform mixing assumption, one of two mechanisms is typically used to describe the relation between contact rate and population density: density-dependent or frequency-dependent. Based on existing evidence of population threshold and human mobility patterns, we formulated a spatial contact model to describe the appropriate form of transmission with initial growth at low density and saturation at higher density. We show that the two mechanisms are extreme cases that do not capture real population movement across all scales. Empirical data of human and wildlife diseases indicate that a nonlinear function may work better when looking at the full spectrum of densities. This estimation can be applied to large areas with population mixing in general activities. For crowds with unusually large densities (e.g., transportation terminals, stadiums, or mass gatherings), the lack of organized social contact structure deviates the physical contacts towards a special case of the spatial contact model - the dynamics of kinetic gas molecule collision. In this case, an ideal gas model with van der Waals correction fits well; existing movement observation data and the contact rate between individuals is estimated using kinetic theory. A complete picture of contact rate scaling with population density may help clarify the definition of transmission rates in heterogeneous, large-scale spatial systems. (C) 2013 The Authors. Published by Elsevier Inc. All rights reserved.."
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]. | abs18288 | 10.1016/j.mbs.2013.04.013 | The scaling of contact rates with population density for the infectious disease models | Contact rates and patterns among individuals in a geographic area drive transmission of directly-transmitted pathogens, making it essential to understand and estimate contacts for simulation of disease dynamics. Under the uniform mixing assumption, one of two mechanisms is typically used to describe the relation between contact rate and population density: density-dependent or frequency-dependent. Based on existing evidence of population threshold and human mobility patterns, we formulated a spatial contact model to describe the appropriate form of transmission with initial growth at low density and saturation at higher density. We show that the two mechanisms are extreme cases that do not capture real population movement across all scales. Empirical data of human and wildlife diseases indicate that a nonlinear function may work better when looking at the full spectrum of densities. This estimation can be applied to large areas with population mixing in general activities. For crowds with unusually large densities (e.g., transportation terminals, stadiums, or mass gatherings), the lack of organized social contact structure deviates the physical contacts towards a special case of the spatial contact model - the dynamics of kinetic gas molecule collision. In this case, an ideal gas model with van der Waals correction fits well; existing movement observation data and the contact rate between individuals is estimated using kinetic theory. A complete picture of contact rate scaling with population density may help clarify the definition of transmission rates in heterogeneous, large-scale spatial systems. (C) 2013 The Authors. Published by Elsevier Inc. All rights reserved. |
<|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:"How to construct a case of Alzheimer's disease in three languages: case-based reasoning in narrative gerontology."
Abstract:"This paper explores how people reason about Alzheimer's disease by telling stories about others who have the disease. More specifically, the paper is a cross-linguistic investigation of the narrative and linguistic devices used by African Americans in English, Mexican Americans in Spanish, and refugees/immigrants from the former Soviet Union (to the United States of America) in Russian in their oral productions of such stories. We examine the narratives as instances of case-based reasoning in which lay people (non-medical professionals) distinguish, represent and 'perform' symptomatic behaviours and construct a 'case' of the disease as a way of probing the difference between the normal and the pathological in conversational contexts. In particular, we examine situations in which stories are accepted and confirmed and situations in which stories are contested and negotiated. Common narrative and discursive devices across the three languages include concatenation, intertextuality, conjunction and conjunctive adverbs, lexical opposition, past progressive tenses, temporal adverbials, reported speech and prosodic cues. The fine-grained analysis of these narrative and discursive devices lays bare the inner-workings of case-based reasoning as a conversational task and suggests specific linguistic tools for intervening in lay narrative reasoning in clinical settings and in public health messaging about Alzheimer's disease.."
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]. | abs15507 | 10.1017/S0144686X12000979 | How to construct a case of Alzheimer's disease in three languages: case-based reasoning in narrative gerontology | This paper explores how people reason about Alzheimer's disease by telling stories about others who have the disease. More specifically, the paper is a cross-linguistic investigation of the narrative and linguistic devices used by African Americans in English, Mexican Americans in Spanish, and refugees/immigrants from the former Soviet Union (to the United States of America) in Russian in their oral productions of such stories. We examine the narratives as instances of case-based reasoning in which lay people (non-medical professionals) distinguish, represent and 'perform' symptomatic behaviours and construct a 'case' of the disease as a way of probing the difference between the normal and the pathological in conversational contexts. In particular, we examine situations in which stories are accepted and confirmed and situations in which stories are contested and negotiated. Common narrative and discursive devices across the three languages include concatenation, intertextuality, conjunction and conjunctive adverbs, lexical opposition, past progressive tenses, temporal adverbials, reported speech and prosodic cues. The fine-grained analysis of these narrative and discursive devices lays bare the inner-workings of case-based reasoning as a conversational task and suggests specific linguistic tools for intervening in lay narrative reasoning in clinical settings and in public health messaging about Alzheimer's disease. |
<|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:"Death and Migration: Migrant Journeys and the Governance of Migration During Europe's Migration Crisis."
Abstract:"In migration and refugee studies, migrant deaths have frequently been closely linked to contemporary forms of border and migration governance. Migrant deaths at sea have also played a central role in shaping policy and public responses to Europe's crisis. Yet relatively little scholarly work has analyzed migrants' personal experiences related to death and the impact of these experiences on their mobility. Drawing on 500 semi-structured interviews with people who crossed the Mediterranean Sea by boat in 2015-2016 and over 100 interviews with key stakeholders in the region, this article documents geographies of violence and death stretching throughout migration trajectories that start far from the Mediterranean shores. It shines light on the different ways that encountering the deaths of others and perceiving the inevitability of one's own death drive and shape migration decisions and journeys. The article also highlights differences between European policy responses to migrant deaths and the experiences of those migrants making the journey. In doing so, it calls for a more expansive understanding of the relationship between migrant deaths, policies, and migration that extends beyond the relatively small parcel of water that divides Europe from its southern and eastern neighbors.."
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]. | abs11434 | 10.1177/0197918320958615 | Death and Migration: Migrant Journeys and the Governance of Migration During Europe's Migration Crisis | In migration and refugee studies, migrant deaths have frequently been closely linked to contemporary forms of border and migration governance. Migrant deaths at sea have also played a central role in shaping policy and public responses to Europe's crisis. Yet relatively little scholarly work has analyzed migrants' personal experiences related to death and the impact of these experiences on their mobility. Drawing on 500 semi-structured interviews with people who crossed the Mediterranean Sea by boat in 2015-2016 and over 100 interviews with key stakeholders in the region, this article documents geographies of violence and death stretching throughout migration trajectories that start far from the Mediterranean shores. It shines light on the different ways that encountering the deaths of others and perceiving the inevitability of one's own death drive and shape migration decisions and journeys. The article also highlights differences between European policy responses to migrant deaths and the experiences of those migrants making the journey. In doing so, it calls for a more expansive understanding of the relationship between migrant deaths, policies, and migration that extends beyond the relatively small parcel of water that divides Europe from its southern and eastern neighbors. |
<|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:"Gender Bias in Asylum Adjudications: Evidence for Leniency toward Token Women."
Abstract:"Gender is one of the most frequently studied variables in the literature on judicial decision-making. We add to this literature by hypothesizing that the impact of applicant gender is conditional on the gender balance in a judge's caseload. We expect that female applicants receive more favorable decisions from judges whose caseload skews strongly male. Analyzing over 40,000 rulings by the Austrian Asylum Court between 2008 and 2013, we find support for direct gender effects for applicants and judges (yet no significant interaction between the two). We also show that gender balance in the caseload is a strong moderator of applicant gender. Judges with predominantly male caseloads are strongly biased toward female applicants, whereas judges facing a gender-balanced set of applicants display hardly any gender bias at all. These findings tackle essential questions of democratic rule of law and human rights. They indicate that applicants' fundamental rights to a fair and equal trial may have been compromised. We discuss institutional remedies to reduce the potential for gender bias in Austrian asylum adjudication.."
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]. | abs11982 | 10.1007/s11199-019-01030-2 | Gender Bias in Asylum Adjudications: Evidence for Leniency toward Token Women | Gender is one of the most frequently studied variables in the literature on judicial decision-making. We add to this literature by hypothesizing that the impact of applicant gender is conditional on the gender balance in a judge's caseload. We expect that female applicants receive more favorable decisions from judges whose caseload skews strongly male. Analyzing over 40,000 rulings by the Austrian Asylum Court between 2008 and 2013, we find support for direct gender effects for applicants and judges (yet no significant interaction between the two). We also show that gender balance in the caseload is a strong moderator of applicant gender. Judges with predominantly male caseloads are strongly biased toward female applicants, whereas judges facing a gender-balanced set of applicants display hardly any gender bias at all. These findings tackle essential questions of democratic rule of law and human rights. They indicate that applicants' fundamental rights to a fair and equal trial may have been compromised. We discuss institutional remedies to reduce the potential for gender bias in Austrian asylum adjudication. |
<|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 Limited Benefits of Using Virtual Reality 360° Videos to Promote Empathy and Charitable Giving."
Abstract:"Charitable organizations have embraced virtual reality (VR); however, scientific evidence supporting its effectiveness for social good often uses poor experimental methodology and finds inconsistent results. We conducted a rigorous randomized control trial testing whether 360 degrees video virtual reality increases empathy and charitable donations. Participants (N = 155) were randomly assigned to one of four conditions: (a) Classic: 360 degrees footage of child refugees, (b) Boost: the same, but with perspective-taking instructions, (c) Audiobook: a control condition with the same information about child refugees but in text format, or (d) Waiting Room: another control condition with a 360 degrees view of a waiting room. Although the Classic and Boost conditions increased emotional empathy compared to controls, they did not improve cognitive empathy more than the audiobook. Moreover, any empathic gains were mostly extinguished after 10 days. Critically, the Classic and Boost conditions did not influence charitable donations to a relevant charity (UNICEF). Therefore, charitable organizations may wish to tentatively reconsider their investment in 360 degrees videos as, although they appear to make people feel empathic in the moment, these feelings do not appear to translate into tangible action.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [1];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs08804 | 10.1177/08997640221125804 | The Limited Benefits of Using Virtual Reality 360° Videos to Promote Empathy and Charitable Giving | Charitable organizations have embraced virtual reality (VR); however, scientific evidence supporting its effectiveness for social good often uses poor experimental methodology and finds inconsistent results. We conducted a rigorous randomized control trial testing whether 360 degrees video virtual reality increases empathy and charitable donations. Participants (N = 155) were randomly assigned to one of four conditions: (a) Classic: 360 degrees footage of child refugees, (b) Boost: the same, but with perspective-taking instructions, (c) Audiobook: a control condition with the same information about child refugees but in text format, or (d) Waiting Room: another control condition with a 360 degrees view of a waiting room. Although the Classic and Boost conditions increased emotional empathy compared to controls, they did not improve cognitive empathy more than the audiobook. Moreover, any empathic gains were mostly extinguished after 10 days. Critically, the Classic and Boost conditions did not influence charitable donations to a relevant charity (UNICEF). Therefore, charitable organizations may wish to tentatively reconsider their investment in 360 degrees videos as, although they appear to make people feel empathic in the moment, these feelings do not appear to translate into tangible action. |
<|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:"Realizing proximity in times of deregulation and densification: Evaluating urban change from a welfare regime perspective."
Abstract:"We evaluate changes in proximity (in terms of walkability) to essential services in the city region of Gothenburg, Sweden, 1994-2014, when sustainability policy goals were set to promote urban densification and non-motorized mobility. Simultaneously, public services were deregulated, reducing political capacity to control their accessibility. Considering this tension and welfare regime theory, we investigate to what extent typically regulated and deregulated services (libraries, pharmacies, primary schools, and grocery stores) have come closer to the population in areas of different densities and centralities. We draw on unique micro-level data comprising the detailed locations of population and services analyzed using decomposition. Results indicate that services the most (libraries) and least (grocery stores) controlled by public policy decreased in proximity. In contrast, recently deregulated services (pharmacies and primary schools) became more accessible by foot due to disruptive market change. While population relocation reduced the proportion of people living near the services, the changing geography of amenities was a more important driver of proximity change. We argue that sustainability goals to realize proximity have far-reaching repercussions for urban governance, emphasizing the need to assess proximity changes at detailed scale levels.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [1];
Q6 = [1]. | abs01056 | 10.1016/j.jtrangeo.2021.103098 | Realizing proximity in times of deregulation and densification: Evaluating urban change from a welfare regime perspective | We evaluate changes in proximity (in terms of walkability) to essential services in the city region of Gothenburg, Sweden, 1994-2014, when sustainability policy goals were set to promote urban densification and non-motorized mobility. Simultaneously, public services were deregulated, reducing political capacity to control their accessibility. Considering this tension and welfare regime theory, we investigate to what extent typically regulated and deregulated services (libraries, pharmacies, primary schools, and grocery stores) have come closer to the population in areas of different densities and centralities. We draw on unique micro-level data comprising the detailed locations of population and services analyzed using decomposition. Results indicate that services the most (libraries) and least (grocery stores) controlled by public policy decreased in proximity. In contrast, recently deregulated services (pharmacies and primary schools) became more accessible by foot due to disruptive market change. While population relocation reduced the proportion of people living near the services, the changing geography of amenities was a more important driver of proximity change. We argue that sustainability goals to realize proximity have far-reaching repercussions for urban governance, emphasizing the need to assess proximity changes at detailed scale levels. |
<|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:"Geo-capitalism and global racialization in the frame of Anthropocene."
Abstract:"The appropriation of nature under current capitalist conditions implies the intensification of processes of exploitation of labour, dispossession of peasants' lands, indiscriminate extraction of raw materials, and racialization of all these processes. These dynamics reveal a double process: from one side we are witnessing a global racialization generated alongside socio-ecological phenomena that are changing for the worse food, energy, land, water, and raw materials regimes. From the other side we are witnessing an imperious use of racist speeches, claims, public measures and violent practices aimed to galvanized the racial and racist spirit of European and American white populations against migrants and refugees driven by the underlying forces formerly recalled. These two dynamics are strictly interlinked. For a long time, researchers dealt with local dynamics and phenomena of racism often forgetting how global, large, planetary processes of exploitation, appropriation, and dispossession sculpt these dynamics at the local level. This article aims to deal with these processes of global racialization and racism by an analysis of the process of accumulation based on 'racialized unequal exchange' fostering the idea that that unequal ecological exchange bases on historical division of people in different subordinate races in line with the global neoliberal order.."
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 = [];
Q5 = [1];
Q6 = [0]. | abs19446 | 10.1080/03906701.2019.1641263 | Geo-capitalism and global racialization in the frame of Anthropocene | The appropriation of nature under current capitalist conditions implies the intensification of processes of exploitation of labour, dispossession of peasants' lands, indiscriminate extraction of raw materials, and racialization of all these processes. These dynamics reveal a double process: from one side we are witnessing a global racialization generated alongside socio-ecological phenomena that are changing for the worse food, energy, land, water, and raw materials regimes. From the other side we are witnessing an imperious use of racist speeches, claims, public measures and violent practices aimed to galvanized the racial and racist spirit of European and American white populations against migrants and refugees driven by the underlying forces formerly recalled. These two dynamics are strictly interlinked. For a long time, researchers dealt with local dynamics and phenomena of racism often forgetting how global, large, planetary processes of exploitation, appropriation, and dispossession sculpt these dynamics at the local level. This article aims to deal with these processes of global racialization and racism by an analysis of the process of accumulation based on 'racialized unequal exchange' fostering the idea that that unequal ecological exchange bases on historical division of people in different subordinate races in line with the global neoliberal order. |
<|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:"Going rural: Qualitative perspectives on the role of place attachment in young people's intentions to return to the country."
Abstract:"Rural areas in Australia are experiencing a mass out-migration of young people. The causes and impact of this out-migration are well documented. However the role of place attachment, in particular attachment towards urban areas, in the decision of whether to move back to rural areas remains unexplored. This research adopted a social constructionist epistemology to examine the migration intentions of young people from rural backgrounds in Western Australia, who were currently living in urban areas. Specifically, we sought to explore the role that place attachment to rural or urban areas plays in young people's interests in returning to rural areas. Eleven young people (eight women and three men, aged 20-24) who had lived in rural Western Australia for at least ten years and were currently living in a city participated in semi-structured face-to-face interviews. Through inductive thematic analysis, the findings suggest that rather than place attachment young people's connections towards urban areas appear to come from relationships and employment opportunities. Whereas for rural areas the attachment is focused on the place, participant's positive memories and the desire for their children to have the same upbringing. Our findings indicate that young people in the 20-24 years age group were not yet considering moving back to rural areas, but maintained an interest in relocating in future. These findings highlight the importance of place attachment in return migration but also the critical role that relationships play in migration intentions. Rural communities that seek to retain and grow their young adult populations should work to foster connected communities and sustainable employment opportunities.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [3];
Q3 = [2];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs19889 | 10.1016/j.jenvp.2020.101542 | Going rural: Qualitative perspectives on the role of place attachment in young people's intentions to return to the country | Rural areas in Australia are experiencing a mass out-migration of young people. The causes and impact of this out-migration are well documented. However the role of place attachment, in particular attachment towards urban areas, in the decision of whether to move back to rural areas remains unexplored. This research adopted a social constructionist epistemology to examine the migration intentions of young people from rural backgrounds in Western Australia, who were currently living in urban areas. Specifically, we sought to explore the role that place attachment to rural or urban areas plays in young people's interests in returning to rural areas. Eleven young people (eight women and three men, aged 20-24) who had lived in rural Western Australia for at least ten years and were currently living in a city participated in semi-structured face-to-face interviews. Through inductive thematic analysis, the findings suggest that rather than place attachment young people's connections towards urban areas appear to come from relationships and employment opportunities. Whereas for rural areas the attachment is focused on the place, participant's positive memories and the desire for their children to have the same upbringing. Our findings indicate that young people in the 20-24 years age group were not yet considering moving back to rural areas, but maintained an interest in relocating in future. These findings highlight the importance of place attachment in return migration but also the critical role that relationships play in migration intentions. Rural communities that seek to retain and grow their young adult populations should work to foster connected communities and sustainable employment opportunities. |
<|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 Families and Their Encounter with the Secular: An Ethnographic Study of Chinese Parents and Their Children in Edinburgh."
Abstract:"The Chinese, both in China and in an international migration setting, are commonly regarded as the world's most secular population. However, the relationship between Chinese people and Chinese Popular Religion is nuanced and survey data, more often than not, do not account for the plethora of religious activities Chinese people engage in despite simultaneously self-identifying as secular. This paper examines the sup-posed secularity of Chinese immigrant families living in Edinburgh. It asserts that although self-identifying as secular, these families engage in undeniable religious activity and possess religious beliefs. Crucially, there is a marked difference between the beliefs pertaining to secularity of the parents and their children, with the former being adamant in their secularity and the latter being more willing to acknowledge the complicated relationship between religion and the secular.."
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 = [0];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs19590 | 10.30965/23642807-BJA10071 | Chinese Families and Their Encounter with the Secular: An Ethnographic Study of Chinese Parents and Their Children in Edinburgh | The Chinese, both in China and in an international migration setting, are commonly regarded as the world's most secular population. However, the relationship between Chinese people and Chinese Popular Religion is nuanced and survey data, more often than not, do not account for the plethora of religious activities Chinese people engage in despite simultaneously self-identifying as secular. This paper examines the sup-posed secularity of Chinese immigrant families living in Edinburgh. It asserts that although self-identifying as secular, these families engage in undeniable religious activity and possess religious beliefs. Crucially, there is a marked difference between the beliefs pertaining to secularity of the parents and their children, with the former being adamant in their secularity and the latter being more willing to acknowledge the complicated relationship between religion and the secular. |
<|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 a 'barefoot therapist' in a time of war: Offering support to traumatised and tortured children and adults."
Abstract:"In 1976, as a poet of 30, I was responding to the murder of President Allende in Chile in 1973 and the attacks on women protesters fighting the regime of Pinochet. I was profoundly affected by the realisation that while one group of similar-minded people could be joyously on holiday, just a short geographic distance away, a similar group could be facing unbearable trauma. Professionals working in a time of upheaval can sometimes take a dissociative defence in exaggerating the difference in their lives compared to the lives of those they are trying to help. Working with extreme trauma in a range of countries can break down those defences so that we see the commonality in the human condition. Whether religious or not, this is best expressed by the 16th century phrase ascribed to John Bradford, 'there, but for the grace of God go I!'. The wish to blame the other for their hurricanes, floods, wars, and torture is significant. Even secular insurance companies do not insure against 'acts of God'.."
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]. | abs09464 | 10.24135/ppi.v20i4.08 | Being a 'barefoot therapist' in a time of war: Offering support to traumatised and tortured children and adults | In 1976, as a poet of 30, I was responding to the murder of President Allende in Chile in 1973 and the attacks on women protesters fighting the regime of Pinochet. I was profoundly affected by the realisation that while one group of similar-minded people could be joyously on holiday, just a short geographic distance away, a similar group could be facing unbearable trauma. Professionals working in a time of upheaval can sometimes take a dissociative defence in exaggerating the difference in their lives compared to the lives of those they are trying to help. Working with extreme trauma in a range of countries can break down those defences so that we see the commonality in the human condition. Whether religious or not, this is best expressed by the 16th century phrase ascribed to John Bradford, 'there, but for the grace of God go I!'. The wish to blame the other for their hurricanes, floods, wars, and torture is significant. Even secular insurance companies do not insure against 'acts of God'. |
<|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:"After the flood: an evaluation of in-home drinking water treatment with combined flocculent-disinfectant following Tropical Storm Jeanne - Gonaives, Haiti, 2004."
Abstract:"Tropical Storm Jeanne struck Haiti in September 2004, causing widespread flooding which contaminated water sources, displaced thousands of families and killed approximately 2,800 people. Local leaders distributed Pu P(u) over bar RR (R), a flocculent-disinfectant product for household water treatment, to affected populations. We evaluated knowledge, attitudes, practices, and drinking water quality among a sample of Pu P(u) over bar RR (R) recipients. we interviewed representatives of 100 households in three rural communities who received Pu P(u) over bar RR (R) and Pu P(u) over bar RR (R)-related education. Water sources were tested for fecal contamination and turbidity; stored household water was tested for residual chlorine. All households relied on untreated water sources (springs [66%], wells [15%], community taps [13%], and rivers [6%1). After distribution, PGRO was the most common in-home treatment method (58%) followed by chlorination (30%), plant-based flocculation (6%), boiling (5%), and filtration (1%). Seventy-eight percent of respondents correctly answered five questions about how to use Pu P(u) over bar RR (R) 81% reported Pu P(u) over bar RR (R) easy to use; and 97% reported that Pu P(u) over bar RR (R)-treated water appears, tastes, and smells better than untreated water. Although water sources tested appeared clear, fecal coliform bacteria were detected in all sources (range 1 - > 200 cfu/100 ml). Chlorine was present in 10 (45%) of 22 stored drinking water samples in households using Pu P(u) over bar RR (R). Pu P(u) over bar RR (R) was well-accepted and properly used in remote communities where local leaders helped with distribution and education. This highly effective water purification method can help protect disaster-affected communities from waterborne disease.."
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]. | abs04494 | 10.2166/wh.2007.032 | After the flood: an evaluation of in-home drinking water treatment with combined flocculent-disinfectant following Tropical Storm Jeanne - Gonaives, Haiti, 2004 | Tropical Storm Jeanne struck Haiti in September 2004, causing widespread flooding which contaminated water sources, displaced thousands of families and killed approximately 2,800 people. Local leaders distributed Pu P(u) over bar RR (R), a flocculent-disinfectant product for household water treatment, to affected populations. We evaluated knowledge, attitudes, practices, and drinking water quality among a sample of Pu P(u) over bar RR (R) recipients. we interviewed representatives of 100 households in three rural communities who received Pu P(u) over bar RR (R) and Pu P(u) over bar RR (R)-related education. Water sources were tested for fecal contamination and turbidity; stored household water was tested for residual chlorine. All households relied on untreated water sources (springs [66%], wells [15%], community taps [13%], and rivers [6%1). After distribution, PGRO was the most common in-home treatment method (58%) followed by chlorination (30%), plant-based flocculation (6%), boiling (5%), and filtration (1%). Seventy-eight percent of respondents correctly answered five questions about how to use Pu P(u) over bar RR (R) 81% reported Pu P(u) over bar RR (R) easy to use; and 97% reported that Pu P(u) over bar RR (R)-treated water appears, tastes, and smells better than untreated water. Although water sources tested appeared clear, fecal coliform bacteria were detected in all sources (range 1 - > 200 cfu/100 ml). Chlorine was present in 10 (45%) of 22 stored drinking water samples in households using Pu P(u) over bar RR (R). Pu P(u) over bar RR (R) was well-accepted and properly used in remote communities where local leaders helped with distribution and education. This highly effective water purification method can help protect disaster-affected communities from waterborne disease. |
<|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:"Violation and hope: Refugee survival in childhood and beyond."
Abstract:"Background: The psychological complexity of refugee status for children is poorly understood. Alone or with family members, child refugees are exposed to multiple and potentially traumatic events, including conflict and human rights deprivation in their country of origin, perilous and life-threatening escape journeys, years of statelessness, and isolation and discrimination in their new host country. Aims: This phenomenological study explored the positive and negative interpretations of four adults as they sought to make sense of their experiences of refugee status as children. Method: Interpretative Phenomenological Analysis (IPA) guided the development of semi-structured interview for data collection and analysis. Results: One superordinate theme, Violation and Hope, overarched three subordinate themes, Violent detachment, Refugee identity, and Resourcefulness and reciprocity. One divergent theme also emerged: Clashing identities. These themes provide unique insight into the interpreted experiences of escaping oppression and persecution in each participant's country of origin as children, and the ensuing bleak interval as refugees, belonging nowhere. They identify the risk of becoming pawns of opportunism without human rights protection. Once stateless, survival was not guaranteed, producing a stark merging of acceptance of mortality and determined resourcefulness as children. Avoidant coping became a positive tool for surviving ever present threat, and was crucial in defining a life philosophy that was future oriented as they entered adulthood. Conclusion: These participants rejected a 'refugee victim' identity, emphasising a legacy of resourcefulness, hope, gratitude and reciprocity, domains of post-traumatic growth which are unreported aspects of refugee well-being that can provide future therapeutic and research direction.."
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 = [2];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs12645 | 10.1177/0020764019831314 | Violation and hope: Refugee survival in childhood and beyond | Background: The psychological complexity of refugee status for children is poorly understood. Alone or with family members, child refugees are exposed to multiple and potentially traumatic events, including conflict and human rights deprivation in their country of origin, perilous and life-threatening escape journeys, years of statelessness, and isolation and discrimination in their new host country. Aims: This phenomenological study explored the positive and negative interpretations of four adults as they sought to make sense of their experiences of refugee status as children. Method: Interpretative Phenomenological Analysis (IPA) guided the development of semi-structured interview for data collection and analysis. Results: One superordinate theme, Violation and Hope, overarched three subordinate themes, Violent detachment, Refugee identity, and Resourcefulness and reciprocity. One divergent theme also emerged: Clashing identities. These themes provide unique insight into the interpreted experiences of escaping oppression and persecution in each participant's country of origin as children, and the ensuing bleak interval as refugees, belonging nowhere. They identify the risk of becoming pawns of opportunism without human rights protection. Once stateless, survival was not guaranteed, producing a stark merging of acceptance of mortality and determined resourcefulness as children. Avoidant coping became a positive tool for surviving ever present threat, and was crucial in defining a life philosophy that was future oriented as they entered adulthood. Conclusion: These participants rejected a 'refugee victim' identity, emphasising a legacy of resourcefulness, hope, gratitude and reciprocity, domains of post-traumatic growth which are unreported aspects of refugee well-being that can provide future therapeutic and research direction. |
<|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 stochastic agent-based model to evaluate COVID-19 transmission influenced by human mobility."
Abstract:"The COVID-19 pandemic has created an urgent need for mathematical models that can project epidemic trends and evaluate the effectiveness of mitigation strategies. A major challenge in forecasting the transmission of COVID-19 is the accurate assessment of the multiscale human mobility and how it impacts infection through close contacts. By combining the stochastic agent-based modeling strategy and hierarchical structures of spatial containers corresponding to the notion of geographical places, this study proposes a novel model, Mob-Cov, to study the impact of human traveling behavior and individual health conditions on the disease outbreak and the probability of zero-COVID in the population. Specifically, individuals perform power law-type local movements within a container and global transport between different-level containers. It is revealed that frequent long-distance movements inside a small-level container (e.g., a road or a county) and a small population size reduce both the local crowdedness and disease transmission. It takes only half of the time to induce global disease outbreaks when the population increases from 150 to 500 (normalized unit). When the exponent c(1) of the longtail distribution of distance k moved in the same-level container, p(k) similar to k (-c1 center dot level), increases, the outbreak time decreases rapidly from 75 to 25 (normalized unit). In contrast, travel between large-level containers (e.g., cities and nations) facilitates global spread of the disease and outbreak. When the mean traveling distance across containers 1/d increases from 0.5 to 1 (normalized unit), the outbreak occurs almost twice as fast. Moreover, dynamic infection and recovery in the population are able to drive the bifurcation of the system to a zero-COVID state or to a live with COVID state, depending on the mobility patterns, population number and health conditions. Reducing population size and restricting global travel help achieve zero-COVID-19. Specifically, when c(1) is smaller than 0.2, the ratio of people with low levels of mobility is larger than 80% and the population size is smaller than 400, zero-COVID can be achieved within fewer than 1000 time steps. In summary, the Mob-Cov model considers more realistic human mobility at a wide range of spatial scales, and has been designed with equal emphasis on performance, low simulation cost, accuracy, ease of use and flexibility. It is a useful tool for researchers and politicians to apply when investigating pandemic dynamics and when planning actions against disease.."
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 = [3];
Q5 = [];
Q6 = [1]. | abs06441 | 10.1007/s11071-023-08489-5 | A stochastic agent-based model to evaluate COVID-19 transmission influenced by human mobility | The COVID-19 pandemic has created an urgent need for mathematical models that can project epidemic trends and evaluate the effectiveness of mitigation strategies. A major challenge in forecasting the transmission of COVID-19 is the accurate assessment of the multiscale human mobility and how it impacts infection through close contacts. By combining the stochastic agent-based modeling strategy and hierarchical structures of spatial containers corresponding to the notion of geographical places, this study proposes a novel model, Mob-Cov, to study the impact of human traveling behavior and individual health conditions on the disease outbreak and the probability of zero-COVID in the population. Specifically, individuals perform power law-type local movements within a container and global transport between different-level containers. It is revealed that frequent long-distance movements inside a small-level container (e.g., a road or a county) and a small population size reduce both the local crowdedness and disease transmission. It takes only half of the time to induce global disease outbreaks when the population increases from 150 to 500 (normalized unit). When the exponent c(1) of the longtail distribution of distance k moved in the same-level container, p(k) similar to k (-c1 center dot level), increases, the outbreak time decreases rapidly from 75 to 25 (normalized unit). In contrast, travel between large-level containers (e.g., cities and nations) facilitates global spread of the disease and outbreak. When the mean traveling distance across containers 1/d increases from 0.5 to 1 (normalized unit), the outbreak occurs almost twice as fast. Moreover, dynamic infection and recovery in the population are able to drive the bifurcation of the system to a zero-COVID state or to a live with COVID state, depending on the mobility patterns, population number and health conditions. Reducing population size and restricting global travel help achieve zero-COVID-19. Specifically, when c(1) is smaller than 0.2, the ratio of people with low levels of mobility is larger than 80% and the population size is smaller than 400, zero-COVID can be achieved within fewer than 1000 time steps. In summary, the Mob-Cov model considers more realistic human mobility at a wide range of spatial scales, and has been designed with equal emphasis on performance, low simulation cost, accuracy, ease of use and flexibility. It is a useful tool for researchers and politicians to apply when investigating pandemic dynamics and when planning actions against disease. |
<|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:"Potential flood hazard zonation and flood shelter suitability mapping for disaster risk mitigation in Bangladesh using geospatial technology."
Abstract:"Low-lying Bangladesh is known as one of the most flood-prone countries in the world. During the last few decades, the frequency, intensity, and duration of floods have increased. To ensure safety and save lives when people's homes submerge because of flooding, it is urgent to relocate them to safe shelters during the flooding. In Bangladesh, the number of designated flood shelters is very less. To plan and prioritise the building of shelters, flood hazard zonation and the identification of suitable locations for shelters are vital for disaster risk mitigation. This study attempted the first and most extensive national flood inundation database and flood dynamics of Bangladesh developed between 2017 and 2020 using public domain Sentinel-1 Synthetic Aperture Radar (SAR) images were processed in the Google Earth Engine (GEE) and replicable methodology. Using a set of analytic hierarchy process (AHP) criteria associated with flood disasters (e.g., floods recurrence areas), elevation, land cover, landform, population density, accessibility, distance to road, and distance to settlement layers were used to identify the hazard zones and the safest locations for building flood shelters. The study assessed that 7.11% of the area was inundated by overflow water in June 2017 and 8.99% in August 2017. Similarly, in June, July, and August 2018; June, July and August 2019, and July 2020, with inundation covering 7.26%, 10.87%, 11.07%, 9.50%, 10.56%, 5.01% and 11.14% of the country, respectively. The results show that extremely-high flood prone areas cover about 13% of Bangladesh. Analysis of the suitability of flood shelters shows that about 8% is extremely-high suitable, 16% is very-high suitable, and 7% is very-low suitability for flood shelters. The flood suitability and flood hazard maps would be helpful to support the local government, national and international organisations for flood disaster risk minimisation and the planning and construction of flood shelters.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [1,2];
Q3 = [];
Q4 = [26];
Q5 = [];
Q6 = [1]. | abs01015 | 10.1016/j.pdisas.2021.100185 | Potential flood hazard zonation and flood shelter suitability mapping for disaster risk mitigation in Bangladesh using geospatial technology | Low-lying Bangladesh is known as one of the most flood-prone countries in the world. During the last few decades, the frequency, intensity, and duration of floods have increased. To ensure safety and save lives when people's homes submerge because of flooding, it is urgent to relocate them to safe shelters during the flooding. In Bangladesh, the number of designated flood shelters is very less. To plan and prioritise the building of shelters, flood hazard zonation and the identification of suitable locations for shelters are vital for disaster risk mitigation. This study attempted the first and most extensive national flood inundation database and flood dynamics of Bangladesh developed between 2017 and 2020 using public domain Sentinel-1 Synthetic Aperture Radar (SAR) images were processed in the Google Earth Engine (GEE) and replicable methodology. Using a set of analytic hierarchy process (AHP) criteria associated with flood disasters (e.g., floods recurrence areas), elevation, land cover, landform, population density, accessibility, distance to road, and distance to settlement layers were used to identify the hazard zones and the safest locations for building flood shelters. The study assessed that 7.11% of the area was inundated by overflow water in June 2017 and 8.99% in August 2017. Similarly, in June, July, and August 2018; June, July and August 2019, and July 2020, with inundation covering 7.26%, 10.87%, 11.07%, 9.50%, 10.56%, 5.01% and 11.14% of the country, respectively. The results show that extremely-high flood prone areas cover about 13% of Bangladesh. Analysis of the suitability of flood shelters shows that about 8% is extremely-high suitable, 16% is very-high suitable, and 7% is very-low suitability for flood shelters. The flood suitability and flood hazard maps would be helpful to support the local government, national and international organisations for flood disaster risk minimisation and the planning and construction of flood shelters. |
<|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 Human Mobility from Twitter."
Abstract:"Understanding human mobility is crucial for a broad range of applications from disease prediction to communication networks. Most efforts on studying human mobility have so far used private and low resolution data, such as call data records. Here, we propose Twitter as a proxy for human mobility, as it relies on publicly available data and provides high resolution positioning when users opt to geotag their tweets with their current location. We analyse a Twitter dataset with more than six million geotagged tweets posted in Australia, and we demonstrate that Twitter can be a reliable source for studying human mobility patterns. Our analysis shows that geotagged tweets can capture rich features of human mobility, such as the diversity of movement orbits among individuals and of movements within and between cities. We also find that short-and long-distance movers both spend most of their time in large metropolitan areas, in contrast with intermediate-distance movers' movements, reflecting the impact of different modes of travel. Our study provides solid evidence that Twitter can indeed be a useful proxy for tracking and predicting human movement.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [2];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs06688 | 10.1371/journal.pone.0131469 | Understanding Human Mobility from Twitter | Understanding human mobility is crucial for a broad range of applications from disease prediction to communication networks. Most efforts on studying human mobility have so far used private and low resolution data, such as call data records. Here, we propose Twitter as a proxy for human mobility, as it relies on publicly available data and provides high resolution positioning when users opt to geotag their tweets with their current location. We analyse a Twitter dataset with more than six million geotagged tweets posted in Australia, and we demonstrate that Twitter can be a reliable source for studying human mobility patterns. Our analysis shows that geotagged tweets can capture rich features of human mobility, such as the diversity of movement orbits among individuals and of movements within and between cities. We also find that short-and long-distance movers both spend most of their time in large metropolitan areas, in contrast with intermediate-distance movers' movements, reflecting the impact of different modes of travel. Our study provides solid evidence that Twitter can indeed be a useful proxy for tracking and predicting human movement. |
<|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 Post-Colonial Refugee, Dublin II, and the End of Non-Refoulement."
Abstract:"Refugee law has been variously conceptualised. Sometimes, as a humanitarian enterprise. Sometimes, as an extension of foreign policy relations based on national self-interests. But can it be better rationalised as a post-colonial enterprise? Does its treatment of Arabs, Afghans and others from the Middle East and North Africa - who are the major consumers of modern refugee law today - tell us something about refugee law? Does it serve to essentialise refugees as the 'Others' of the West? If so, can we conceive of a post-colonial refugee? Is modern refugee law an exercise in 'post-colonialism', which can be defined as a cultural critique that is opposed to imperialism and Eurocentrism? This essay explores this question through an analysis of the Dublin II Regulation system. This system limits the number of asylum-seekers entering the countries of the European Union. Recent cases confirm that even powerful evidence of individual risk is of no avail and serves as no bar to an asylum-seeker being removed from one European country to another, from where he or she risks being refouled to his/her own country, where he/she may be subjected to inhuman and degrading treatment. This essay tells that story.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5];
Q3 = [1];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs07637 | 10.1163/15718115-02002010 | The Post-Colonial Refugee, Dublin II, and the End of Non-Refoulement | Refugee law has been variously conceptualised. Sometimes, as a humanitarian enterprise. Sometimes, as an extension of foreign policy relations based on national self-interests. But can it be better rationalised as a post-colonial enterprise? Does its treatment of Arabs, Afghans and others from the Middle East and North Africa - who are the major consumers of modern refugee law today - tell us something about refugee law? Does it serve to essentialise refugees as the 'Others' of the West? If so, can we conceive of a post-colonial refugee? Is modern refugee law an exercise in 'post-colonialism', which can be defined as a cultural critique that is opposed to imperialism and Eurocentrism? This essay explores this question through an analysis of the Dublin II Regulation system. This system limits the number of asylum-seekers entering the countries of the European Union. Recent cases confirm that even powerful evidence of individual risk is of no avail and serves as no bar to an asylum-seeker being removed from one European country to another, from where he or she risks being refouled to his/her own country, where he/she may be subjected to inhuman and degrading treatment. This essay tells that story. |
<|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 movement patterns of different racial-ethnic and economic groups in U.S. top 50 populated cities: What can social media tell us about isolation?."
Abstract:"Many studies have proven that human movement patterns are strongly impacted by individual socioeconomic and demographic background. While many efforts have been made on exploring the influences of age and gender on movement patterns using social media, this study aims to analyse and compare the movement patterns among different racial-ethnic and economic groups using social media (i.e. geotagged tweets) from the U.S. top 50 populated cities. Results show that there are significant differences in number of activity zones and median travel distance across cities and demographic groups, and that power-laws tend to be captured in both spatial and demographic aspects. Additionally, the analysis of outbound-city travels demonstrates that some cities have slightly stronger interaction with others, and that economically disadvantaged populations and racial-ethnic minorities are more restricted in long distance travels, indicating that their spatial mobility is more limited to the local scale. Lastly, an economically-segregated movement pattern is discovered - upper-class neighbourhoods are mostly visited by the upper-class, while lower-class neighbourhoods are mainly accessed by the lower-class - but some racial-ethnic groups can diversify this segregated pattern in the local 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];
Q3 = [1];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs10642 | 10.1080/19475683.2022.2026471 | Human movement patterns of different racial-ethnic and economic groups in U.S. top 50 populated cities: What can social media tell us about isolation? | Many studies have proven that human movement patterns are strongly impacted by individual socioeconomic and demographic background. While many efforts have been made on exploring the influences of age and gender on movement patterns using social media, this study aims to analyse and compare the movement patterns among different racial-ethnic and economic groups using social media (i.e. geotagged tweets) from the U.S. top 50 populated cities. Results show that there are significant differences in number of activity zones and median travel distance across cities and demographic groups, and that power-laws tend to be captured in both spatial and demographic aspects. Additionally, the analysis of outbound-city travels demonstrates that some cities have slightly stronger interaction with others, and that economically disadvantaged populations and racial-ethnic minorities are more restricted in long distance travels, indicating that their spatial mobility is more limited to the local scale. Lastly, an economically-segregated movement pattern is discovered - upper-class neighbourhoods are mostly visited by the upper-class, while lower-class neighbourhoods are mainly accessed by the lower-class - but some racial-ethnic groups can diversify this segregated pattern in the local 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:"Human Mobility Modeling for Robot-Assisted Evacuation in Complex Indoor Environments."
Abstract:"A large number of injuries or deaths may occur when an emergency happens in a crowded public place. The congestion at exits may slow down the egress rate due to the effect of faster-is-slower. This inspires us to study how human behavior dynamically changes over time at an emergency in a complex indoor environment. In this paper, we refer the panic of evacuees to their perception of the threat and propose a panic propagation model to model how crowd panic changes during evacuation at an emergency. Combined with the existing social force model, our panic model interprets the self-driven force and interactive forces with others in human mobility. To improve evacuation efficiency, robots are introduced to guide evacuees to escape. Using dynamic environment information, we design an evacuation exit selection algorithm where the optimal exit is automatically selected by the robot with the minimum escape time. In our experiments, a real shopping mall is examined, and the dynamic behavior of panicked evacuees is simulated with the proposed panic model. The evacuation performance of using emergency evacuation robots is evaluated. The improvement of evacuation efficiency validates the effectiveness of our robot-assisted evacuation system.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [1]. | abs10231 | 10.1109/THMS.2016.2571269 | Human Mobility Modeling for Robot-Assisted Evacuation in Complex Indoor Environments | A large number of injuries or deaths may occur when an emergency happens in a crowded public place. The congestion at exits may slow down the egress rate due to the effect of faster-is-slower. This inspires us to study how human behavior dynamically changes over time at an emergency in a complex indoor environment. In this paper, we refer the panic of evacuees to their perception of the threat and propose a panic propagation model to model how crowd panic changes during evacuation at an emergency. Combined with the existing social force model, our panic model interprets the self-driven force and interactive forces with others in human mobility. To improve evacuation efficiency, robots are introduced to guide evacuees to escape. Using dynamic environment information, we design an evacuation exit selection algorithm where the optimal exit is automatically selected by the robot with the minimum escape time. In our experiments, a real shopping mall is examined, and the dynamic behavior of panicked evacuees is simulated with the proposed panic model. The evacuation performance of using emergency evacuation robots is evaluated. The improvement of evacuation efficiency validates the effectiveness of our robot-assisted evacuation 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:"Exploring the Interface between Asylum, Human Trafficking and/or 'Modern Slavery' within a Hostile Environment in the UK."
Abstract:"While the drivers and processes of forced migration may overlap for people seeking refuge or experiencing human trafficking, responses are invariably rooted in legislation and policy rather than empirical enquiry. In the UK, tightening of legislation around asylum has, for the past three decades, resulted in a 'hostile environment'. During this time, a discourse around human trafficking (also referred to as 'modern slavery' in the UK) has emerged. This paper looks at asylum and human trafficking in the UK to consider a fractioning of protection and resulting fractioning of support for basic needs and welfare provision, provided through the establishment of parallel systems of support for both populations. This paper explores the distinctions, interface, key points of contact, and disconnects between asylum and trafficking in the UK. It details the trajectory of asylum policy, provides an overview of the pre-history to the hostile environment, the impacts of fractioning refugee protection, and what this means for trust as a result. It is argued that trust is an essential component of UK government policies but that the trajectory of asylum policy from a focus on integration to a culture of hostility runs directly counter to efforts to identify 'victims' of 'modern slavery'.."
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]. | abs19302 | 10.3390/socsci11060246 | Exploring the Interface between Asylum, Human Trafficking and/or 'Modern Slavery' within a Hostile Environment in the UK | While the drivers and processes of forced migration may overlap for people seeking refuge or experiencing human trafficking, responses are invariably rooted in legislation and policy rather than empirical enquiry. In the UK, tightening of legislation around asylum has, for the past three decades, resulted in a 'hostile environment'. During this time, a discourse around human trafficking (also referred to as 'modern slavery' in the UK) has emerged. This paper looks at asylum and human trafficking in the UK to consider a fractioning of protection and resulting fractioning of support for basic needs and welfare provision, provided through the establishment of parallel systems of support for both populations. This paper explores the distinctions, interface, key points of contact, and disconnects between asylum and trafficking in the UK. It details the trajectory of asylum policy, provides an overview of the pre-history to the hostile environment, the impacts of fractioning refugee protection, and what this means for trust as a result. It is argued that trust is an essential component of UK government policies but that the trajectory of asylum policy from a focus on integration to a culture of hostility runs directly counter to efforts to identify 'victims' of 'modern slavery'. |
<|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:"Finding common ground: relational concepts of land tenure and economy in the oil palm frontier of Papua New Guinea."
Abstract:"In the oil palm frontier regions of West New Britain and Oro provinces, Papua New Guinea, customary land tenure arrangements are changing in response to the growing demand for land for agricultural development. This paper examines one aspect of these changes, namely the gifting and selling of customary land for oil palm development to people who have no customary birthrights to the land. By analysing how access rights are maintained over the relatively long cultivation cycle of oil palm (approximately 25 years), and in the context of the rapidly changing socio-economic and demographic environments of the oil palm frontiers, the paper demonstrates that while land transactions seemingly entail the commodification of land, land rights and security of land tenure remain embedded in social relationships. For customary landowners, the moral basis of land rights is contingent on 'outsiders' maintaining particular kinds of social and economic relationships with their customary landowning 'hosts'. In exploring how these social relationships are constituted through the performance of particular kinds of exchange relationships, the paper provides insights into relational concepts of land rights and how these are able to persist in Papua New Guinea's oil palm frontier regions where resource struggles are often intense and where large migrant populations are seeking land for agricultural development.."
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]. | abs20727 | 10.1111/j.1475-4959.2008.00319.x | Finding common ground: relational concepts of land tenure and economy in the oil palm frontier of Papua New Guinea | In the oil palm frontier regions of West New Britain and Oro provinces, Papua New Guinea, customary land tenure arrangements are changing in response to the growing demand for land for agricultural development. This paper examines one aspect of these changes, namely the gifting and selling of customary land for oil palm development to people who have no customary birthrights to the land. By analysing how access rights are maintained over the relatively long cultivation cycle of oil palm (approximately 25 years), and in the context of the rapidly changing socio-economic and demographic environments of the oil palm frontiers, the paper demonstrates that while land transactions seemingly entail the commodification of land, land rights and security of land tenure remain embedded in social relationships. For customary landowners, the moral basis of land rights is contingent on 'outsiders' maintaining particular kinds of social and economic relationships with their customary landowning 'hosts'. In exploring how these social relationships are constituted through the performance of particular kinds of exchange relationships, the paper provides insights into relational concepts of land rights and how these are able to persist in Papua New Guinea's oil palm frontier regions where resource struggles are often intense and where large migrant populations are seeking land for agricultural development. |
<|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:"SARS-CoV-2 Infection and Vaccination Coverage among Fragile Populations in a Local Health Area of Northern Italy."
Abstract:"Italy was dramatically hit by the COVID-19 pandemic, and the province of Brescia was one of the epicenters of the outbreak. Furthermore, Brescia has one of the highest incidences of people living with HIV (PLWH) and a substantial presence of migrants. We conducted a retrospective cohort study involving all citizens connected to the Brescia Health Protection Agency, assessing the SARS-CoV-2 burden, COVID-19 prevalence, and vaccination coverage. A total of 1,004,210 persons were included, 3817 PLWH and 134,492 foreigners. SARS-CoV-2 infection, hospitalizations and death were more frequent among Italians than foreigners. SARS-CoV-2 infections and deaths were more frequent in HIV-uninfected people than in PLWH. PLWH and foreigners were less likely to have a SARS-CoV-2 diagnosis compared to HIV-negative patients. Migrants were more likely to be hospitalized but had a lower risk of death compared to HIV-negative patients. Regarding vaccination, 89.1% of the population received at least one dose of vaccine, while 70.4% of the Italian citizens and 36.3% of the foreigner subjects received three doses of vaccine. Foreigners showed a lower risk of being diagnosed with SARS-CoV-2 but a higher risk of complications. HIV infection was not associated with a higher risk of SARS-CoV-2 severe manifestations compared to the general population. COVID-19 vaccine hesitancy was not different between PLWH and HIV uninfected people, but foreigners were more hesitant.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
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Q4 = [];
Q5 = [];
Q6 = [1]. | abs00499 | 10.3390/life12071009 | SARS-CoV-2 Infection and Vaccination Coverage among Fragile Populations in a Local Health Area of Northern Italy | Italy was dramatically hit by the COVID-19 pandemic, and the province of Brescia was one of the epicenters of the outbreak. Furthermore, Brescia has one of the highest incidences of people living with HIV (PLWH) and a substantial presence of migrants. We conducted a retrospective cohort study involving all citizens connected to the Brescia Health Protection Agency, assessing the SARS-CoV-2 burden, COVID-19 prevalence, and vaccination coverage. A total of 1,004,210 persons were included, 3817 PLWH and 134,492 foreigners. SARS-CoV-2 infection, hospitalizations and death were more frequent among Italians than foreigners. SARS-CoV-2 infections and deaths were more frequent in HIV-uninfected people than in PLWH. PLWH and foreigners were less likely to have a SARS-CoV-2 diagnosis compared to HIV-negative patients. Migrants were more likely to be hospitalized but had a lower risk of death compared to HIV-negative patients. Regarding vaccination, 89.1% of the population received at least one dose of vaccine, while 70.4% of the Italian citizens and 36.3% of the foreigner subjects received three doses of vaccine. Foreigners showed a lower risk of being diagnosed with SARS-CoV-2 but a higher risk of complications. HIV infection was not associated with a higher risk of SARS-CoV-2 severe manifestations compared to the general population. COVID-19 vaccine hesitancy was not different between PLWH and HIV uninfected people, but foreigners were more hesitant. |
<|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 statistics relevant for malaria transmission in Senegal derived from mobile phone data and used in an agent-based migration model."
Abstract:"One year of mobile phone location data from Senegal is analysed to determine the characteristics of journeys that result in an overnight stay, and are thus relevant for malaria transmission. Defining the home location of each person as the place of most frequent calls, it is found that approximately 60% of people who spend nights away from home have regular destinations that are repeatedly visited, although only 10% have 3 or more regular destinations. The number of journeys involving overnight stays peaks at a distance of 50 km, although roughly half of such journeys exceed 100 km. Most visits only involve a stay of one or two nights away from home, with just 4% exceeding one week. A new agent-based migration model is introduced, based on a gravity model adapted to represent overnight journeys. Each agent makes journeys involving overnight stays to either regular or random locations, with journey and destination probabilities taken from the mobile phone dataset. Preliminary simulations show that the agent-based model can approximately reproduce the patterns of migration involving overnight stays.."
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]. | abs02991 | 10.4081/gh.2016.408 | Migration statistics relevant for malaria transmission in Senegal derived from mobile phone data and used in an agent-based migration model | One year of mobile phone location data from Senegal is analysed to determine the characteristics of journeys that result in an overnight stay, and are thus relevant for malaria transmission. Defining the home location of each person as the place of most frequent calls, it is found that approximately 60% of people who spend nights away from home have regular destinations that are repeatedly visited, although only 10% have 3 or more regular destinations. The number of journeys involving overnight stays peaks at a distance of 50 km, although roughly half of such journeys exceed 100 km. Most visits only involve a stay of one or two nights away from home, with just 4% exceeding one week. A new agent-based migration model is introduced, based on a gravity model adapted to represent overnight journeys. Each agent makes journeys involving overnight stays to either regular or random locations, with journey and destination probabilities taken from the mobile phone dataset. Preliminary simulations show that the agent-based model can approximately reproduce the patterns of migration involving overnight stays. |
<|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:"PLANNING AND PARTICIPATION IN CITIES THAT MOVE: IDENTIFYING OBSTACLES TO MUNICIPAL MOBILITY MANAGEMENT."
Abstract:"The dual processes of rapidly transforming cities and administrative decentralisation demands that local government address human mobility as a means of countering urban poverty. Despite this imperative, local authorities are often poorly equipped to address the needs of poor and transient residents. Through an examination of four South African municipalities, this article helps to identify three critical factors working against effective responses: poor data and conceptual bias; institutional ambiguities and budgeting processes; and, ironically, participatory planning. Although any one of these could serve as a basis for an article, by taking them together, we better summarise the challenges' scope and outline areas for further research and policy intervention. The article concludes by considering these findings' practical and scholarly implications. Copyright (c) 2013 John Wiley & Sons, Ltd.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [3];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs10629 | 10.1002/pad.1642 | PLANNING AND PARTICIPATION IN CITIES THAT MOVE: IDENTIFYING OBSTACLES TO MUNICIPAL MOBILITY MANAGEMENT | The dual processes of rapidly transforming cities and administrative decentralisation demands that local government address human mobility as a means of countering urban poverty. Despite this imperative, local authorities are often poorly equipped to address the needs of poor and transient residents. Through an examination of four South African municipalities, this article helps to identify three critical factors working against effective responses: poor data and conceptual bias; institutional ambiguities and budgeting processes; and, ironically, participatory planning. Although any one of these could serve as a basis for an article, by taking them together, we better summarise the challenges' scope and outline areas for further research and policy intervention. The article concludes by considering these findings' practical and scholarly implications. Copyright (c) 2013 John Wiley & Sons, Ltd. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Coverage of a Crisis: The Effects of International News Portrayals of Refugees and Misuse of the Term Immigrant."
Abstract:"Given the intense debate surrounding the United States' policies regarding admission of refugees and immigrants into the country, this study set out to determine how the news media cover refugees and how that coverage influences news consumers. This research examines how news stories informed the public about the individuals affected by the wars in Syria, Afghanistan, and Iraq. In particular, it explores usage of the word refugee as opposed to immigrant to determine how individuals fleeing their home countries were described by the press. A content analysis revealed that U.S. newspapers were more likely than international newspapers to conflate the term immigrant with refugee. Also, when refugees were incorrectly described as immigrants, references to terrorism were more likely. The experimental portion of this research tested how news consumers respond to this framing of refugee versus immigrant in the same war-torn situation. Democrats, Independents, and Republicans who read about individuals labeled as refugees did not distinguish them from immigrants in the same situation, indicating they may have adopted the U.S. news media's conflation of these terms. Republicans, however, had more negative perceptions of both refugees and immigrants than did Democrats or Independents, reporting greater perceptions of threat and favoring more stringent policy. These results suggest that American news consumers do not distinguish between refugees and immigrants in terms of policy, which at least partially implicates U.S. news media for not providing a solid benchmark for understanding these groups of people.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5,6];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs07104 | 10.1177/0002764218759579 | Coverage of a Crisis: The Effects of International News Portrayals of Refugees and Misuse of the Term Immigrant | Given the intense debate surrounding the United States' policies regarding admission of refugees and immigrants into the country, this study set out to determine how the news media cover refugees and how that coverage influences news consumers. This research examines how news stories informed the public about the individuals affected by the wars in Syria, Afghanistan, and Iraq. In particular, it explores usage of the word refugee as opposed to immigrant to determine how individuals fleeing their home countries were described by the press. A content analysis revealed that U.S. newspapers were more likely than international newspapers to conflate the term immigrant with refugee. Also, when refugees were incorrectly described as immigrants, references to terrorism were more likely. The experimental portion of this research tested how news consumers respond to this framing of refugee versus immigrant in the same war-torn situation. Democrats, Independents, and Republicans who read about individuals labeled as refugees did not distinguish them from immigrants in the same situation, indicating they may have adopted the U.S. news media's conflation of these terms. Republicans, however, had more negative perceptions of both refugees and immigrants than did Democrats or Independents, reporting greater perceptions of threat and favoring more stringent policy. These results suggest that American news consumers do not distinguish between refugees and immigrants in terms of policy, which at least partially implicates U.S. news media for not providing a solid benchmark for understanding these groups of people. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"We can('t) do this A corpus-assisted critical discourse analysis of migration in Germany."
Abstract:"Migration has been a defining topic in the discourse in Germany since the so-called refugee crisis in 2015. This corpus-assisted critical discourse analysis systematically reconstructs the discourse about migration in two influential German newspapers, thereby emphasizing the construction of different subject positions for people migrating to Germany. Mass media are an important arena for the fight for hegemony between discursive coalitions of culturalization regimes that are based on openness and closure respectively. The discursive space of the German discourse about migration offers multiple opportunities in this regard. In the left-leaning taz, we detect a general trend to support an open society although some (but often contested) elements of closure are detected in this medium as well. Die Welt leans much more towards closure and the problematization of migration although it also offers a diverse array of interpellations that depend on the usefulness or threating character of people coming to Germany.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [5];
Q3 = [1];
Q4 = [0];
Q5 = [1];
Q6 = [0]. | abs12752 | 10.1075/jlp.19006.gri | We can('t) do this A corpus-assisted critical discourse analysis of migration in Germany | Migration has been a defining topic in the discourse in Germany since the so-called refugee crisis in 2015. This corpus-assisted critical discourse analysis systematically reconstructs the discourse about migration in two influential German newspapers, thereby emphasizing the construction of different subject positions for people migrating to Germany. Mass media are an important arena for the fight for hegemony between discursive coalitions of culturalization regimes that are based on openness and closure respectively. The discursive space of the German discourse about migration offers multiple opportunities in this regard. In the left-leaning taz, we detect a general trend to support an open society although some (but often contested) elements of closure are detected in this medium as well. Die Welt leans much more towards closure and the problematization of migration although it also offers a diverse array of interpellations that depend on the usefulness or threating character of people coming to Germany. |
<|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:"Humanitarianism with Limits: The Reception of Refugees from the Global South in Austria in the 1970s."
Abstract:"The article is the first study toaddress the Austrian reception of refugees from the Global South in the Kreisky era on the basis of available archival sources. After a brief introductory section addressing the myth and reality of Austria's role as a Cold War refuge, it proceeds with two cases studies. The first case study addresses reactions to the military coup in Chile 1973, the subsequent interactions with the junta, and the granting of asylum for persecuted Chileans. The second case study assesses Austria's contribution to the resettlement of Indochinese refugees from small quotas to a broader solidarity with the so-called boat people. Both cases illustrate general patterns in Austria's refugee policies during the Cold War and the growing importance of society and NGOs in facilitating the admission of non-European refugees. The article also demonstrates that humanitarianism had its limits, and the European approach continued to dominate Austria's Cold War asylum policies. This became evident in 1981 when the arrival of Polish refugees abruptly ended Austrian participation in global refugee resettlement. The conclusion stresses the primarily European scope of Austria's refugee policies and points to several continuities in asylum policies from the 1970s to the present day.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5];
Q3 = [1];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs05622 | gen.2022.51946602 | Humanitarianism with Limits: The Reception of Refugees from the Global South in Austria in the 1970s | The article is the first study toaddress the Austrian reception of refugees from the Global South in the Kreisky era on the basis of available archival sources. After a brief introductory section addressing the myth and reality of Austria's role as a Cold War refuge, it proceeds with two cases studies. The first case study addresses reactions to the military coup in Chile 1973, the subsequent interactions with the junta, and the granting of asylum for persecuted Chileans. The second case study assesses Austria's contribution to the resettlement of Indochinese refugees from small quotas to a broader solidarity with the so-called boat people. Both cases illustrate general patterns in Austria's refugee policies during the Cold War and the growing importance of society and NGOs in facilitating the admission of non-European refugees. The article also demonstrates that humanitarianism had its limits, and the European approach continued to dominate Austria's Cold War asylum policies. This became evident in 1981 when the arrival of Polish refugees abruptly ended Austrian participation in global refugee resettlement. The conclusion stresses the primarily European scope of Austria's refugee policies and points to several continuities in asylum policies from the 1970s to the present day. |
<|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:"Similar Associations Between Personality Dimensions and Anxiety or Depressive Disorders in a Population Study of Turkish-Dutch, Moroccan-Dutch, and Native Dutch Subjects."
Abstract:"It is well established that personality traits are associated with anxiety and depressive disorders in Western populations, but it is not known whether this is true also for people from non-Western cultures. In this study, we examined whether ethnicity moderates the association between personality dimensions and anxiety or depressive disorders or symptoms. In a random urban population sample, stratified by ethnicity, in Amsterdam, the Netherlands, we interviewed 309 native Dutch subjects, 203 Turkish-Dutch subjects, and 170 Moroccan-Dutch subjects. Dimensions of personality were measured using the NEO Five-Factor Inventory. Anxiety and depressive disorders and symptom levels were assessed with the Composite International Diagnostic Interview and the Symptom Checklist-90-Revised. The association between personality factors and disorders or symptoms of anxiety and depression was very similar in the three ethnic groups: all show the typical profile of high neuroticism and low extraversion, agreeableness, and conscientiousness.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [0];
Q3 = [0];
Q4 = [0];
Q5 = [];
Q6 = [1]. | abs03603 | 10.1097/NMD.0b013e31828e110d | Similar Associations Between Personality Dimensions and Anxiety or Depressive Disorders in a Population Study of Turkish-Dutch, Moroccan-Dutch, and Native Dutch Subjects | It is well established that personality traits are associated with anxiety and depressive disorders in Western populations, but it is not known whether this is true also for people from non-Western cultures. In this study, we examined whether ethnicity moderates the association between personality dimensions and anxiety or depressive disorders or symptoms. In a random urban population sample, stratified by ethnicity, in Amsterdam, the Netherlands, we interviewed 309 native Dutch subjects, 203 Turkish-Dutch subjects, and 170 Moroccan-Dutch subjects. Dimensions of personality were measured using the NEO Five-Factor Inventory. Anxiety and depressive disorders and symptom levels were assessed with the Composite International Diagnostic Interview and the Symptom Checklist-90-Revised. The association between personality factors and disorders or symptoms of anxiety and depression was very similar in the three ethnic groups: all show the typical profile of high neuroticism and low extraversion, agreeableness, and conscientiousness. |
<|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:"Posttraumatic idioms of distress among Darfur refugees: Hozun and Majnun."
Abstract:"Although psychosocial programming is seen as essential to the humanitarian response to the Darfur conflict, aid groups lack culturally-appropriate assessment instruments for monitoring and evaluation. The current study used an emic-etic integrated approach to: (i) create a culturally-appropriate measure of distress (Study 1), and (ii) test the measure in structured interviews of 848 Darfuris living in two refugee camps in Chad (Study 2). Traditional healers identified two trauma-related idioms, hozun and majnun, which shared features with but were not identical to posttraumatic stress disorder and depression. Measures of these constructs were reliable and correlated with trauma, loss, and functional impairment. Exploratory factor analysis resulted in empirical symptom clusters conceptually parallel to general Western psychiatric constructs. Findings are discussed in terms of their implications for psychosocial programming.."
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]. | abs16041 | 10.1177/1363461511409283 | Posttraumatic idioms of distress among Darfur refugees: Hozun and Majnun | Although psychosocial programming is seen as essential to the humanitarian response to the Darfur conflict, aid groups lack culturally-appropriate assessment instruments for monitoring and evaluation. The current study used an emic-etic integrated approach to: (i) create a culturally-appropriate measure of distress (Study 1), and (ii) test the measure in structured interviews of 848 Darfuris living in two refugee camps in Chad (Study 2). Traditional healers identified two trauma-related idioms, hozun and majnun, which shared features with but were not identical to posttraumatic stress disorder and depression. Measures of these constructs were reliable and correlated with trauma, loss, and functional impairment. Exploratory factor analysis resulted in empirical symptom clusters conceptually parallel to general Western psychiatric constructs. Findings are discussed in terms of their implications for psychosocial programming. |
<|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:"Coupled human and natural systems approach to wildlife research and conservation."
Abstract:"Conserving wildlife while simultaneously meeting the resource needs of a growing human population is a major sustainability challenge. As such, using combined social and environmental perspectives to understand how people and wildlife are interlinked, together with the mechanisms that may weaken or strengthen those linkages, is of utmost importance. However, such integrated information is lacking. To help fill this information gap, we describe an integrated coupled human and natural systems (CHANS) approach for analyzing the patterns, causes, and consequences of changes in wildlife population and habitat, human population and land use, and their interactions. Using this approach, we synthesize research in two sites, Wolong Nature Reserve in China and Chitwan National Park in Nepal, to explicate key relationships between people and two globally endangered wildlife conservation icons, the giant panda and the Bengal tiger. This synthesis reveals that local resident characteristics such as household socioeconomics and demography, as well as community-level attributes such as resource management organizations, affect wildlife and their habitats in complex and even countervailing ways. Human impacts on wildlife and their habitats are in turn modifying the suite of ecosystem services that they provide to local residents in both sites, including access to forest products and cultural values. These interactions are further complicated by human and natural disturbance (e. g., civil wars, earthquakes), feedbacks (including policies), and telecouplings (socioeconomic and environmental interactions over distances) that increasingly link the focal systems with other distant systems. We highlight several important implications of using a CHANS approach for wildlife research and conservation that is useful not only in China and Nepal but in many other places around the world facing similar challenges.."
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]. | abs03440 | 10.5751/ES-06881-190343 | Coupled human and natural systems approach to wildlife research and conservation | Conserving wildlife while simultaneously meeting the resource needs of a growing human population is a major sustainability challenge. As such, using combined social and environmental perspectives to understand how people and wildlife are interlinked, together with the mechanisms that may weaken or strengthen those linkages, is of utmost importance. However, such integrated information is lacking. To help fill this information gap, we describe an integrated coupled human and natural systems (CHANS) approach for analyzing the patterns, causes, and consequences of changes in wildlife population and habitat, human population and land use, and their interactions. Using this approach, we synthesize research in two sites, Wolong Nature Reserve in China and Chitwan National Park in Nepal, to explicate key relationships between people and two globally endangered wildlife conservation icons, the giant panda and the Bengal tiger. This synthesis reveals that local resident characteristics such as household socioeconomics and demography, as well as community-level attributes such as resource management organizations, affect wildlife and their habitats in complex and even countervailing ways. Human impacts on wildlife and their habitats are in turn modifying the suite of ecosystem services that they provide to local residents in both sites, including access to forest products and cultural values. These interactions are further complicated by human and natural disturbance (e. g., civil wars, earthquakes), feedbacks (including policies), and telecouplings (socioeconomic and environmental interactions over distances) that increasingly link the focal systems with other distant systems. We highlight several important implications of using a CHANS approach for wildlife research and conservation that is useful not only in China and Nepal but in many other places around the world facing similar challenges. |
<|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:"On the use of aggregated human mobility data to estimate the reproduction number."
Abstract:"The reproduction number of an infectious disease, such as CoViD-19, can be described through a modified version of the susceptible-infected-recovered (SIR) model with time-dependent contact rate, where mobility data are used as proxy of average movement trends and interpersonal distances. We introduce a theoretical framework to explain and predict changes in the reproduction number of SARS-CoV-2 in terms of aggregated individual mobility and interpersonal proximity (alongside other epidemiological and environmental variables) during and after the lockdown period. We use an infection-age structured model described by a renewal equation. The model predicts the evolution of the reproduction number up to a week ahead of well-established estimates used in the literature. We show how lockdown policies, via reduction of proximity and mobility, reduce the impact of CoViD-19 and mitigate the risk of disease resurgence. We validate our theoretical framework using data from Google, Voxel51, Unacast, The CoViD-19 Mobility Data Network, and Analisi Distribuzione Aiuti.."
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 = [2];
Q4 = [3];
Q5 = [];
Q6 = [1]. | abs10604 | 10.1038/s41598-021-02760-8 | On the use of aggregated human mobility data to estimate the reproduction number | The reproduction number of an infectious disease, such as CoViD-19, can be described through a modified version of the susceptible-infected-recovered (SIR) model with time-dependent contact rate, where mobility data are used as proxy of average movement trends and interpersonal distances. We introduce a theoretical framework to explain and predict changes in the reproduction number of SARS-CoV-2 in terms of aggregated individual mobility and interpersonal proximity (alongside other epidemiological and environmental variables) during and after the lockdown period. We use an infection-age structured model described by a renewal equation. The model predicts the evolution of the reproduction number up to a week ahead of well-established estimates used in the literature. We show how lockdown policies, via reduction of proximity and mobility, reduce the impact of CoViD-19 and mitigate the risk of disease resurgence. We validate our theoretical framework using data from Google, Voxel51, Unacast, The CoViD-19 Mobility Data Network, and Analisi Distribuzione Aiuti. |
<|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 Urban Human Mobility through Crowdsensed Data."
Abstract:"Understanding how people move in the urban area is important for solving urbanization issues, such as traffic management, urban planning, epidemic control, and communication network improvement. Leveraging recent availability of large amounts of diverse crowdsensed data, many studies have made contributions to this field in various aspects. They need proper review and summary. In this article, therefore, we first review these recent studies with a proper taxonomy with corresponding examples. Then, based on the experience learned from the studies, we provide a comprehensive tutorial for future research, which introduces and discusses popular crowdsensed data types, different human mobility subjects, and common data preprocessing and analysis methods. Special emphasis is placed on the matching between data types and mobility subjects. Finally, we present two research projects as case studies to demonstrate the entire process of understanding urban human mobility through crowdsensed data on a city-wide scale and a building-wide scale, respectively. Beyond demonstration purposes, the two case studies also make contributions to their category of certain crowdsensed data types and mobility subjects.."
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]. | abs06833 | 10.1109/MCOM.2018.1700569 | Understanding Urban Human Mobility through Crowdsensed Data | Understanding how people move in the urban area is important for solving urbanization issues, such as traffic management, urban planning, epidemic control, and communication network improvement. Leveraging recent availability of large amounts of diverse crowdsensed data, many studies have made contributions to this field in various aspects. They need proper review and summary. In this article, therefore, we first review these recent studies with a proper taxonomy with corresponding examples. Then, based on the experience learned from the studies, we provide a comprehensive tutorial for future research, which introduces and discusses popular crowdsensed data types, different human mobility subjects, and common data preprocessing and analysis methods. Special emphasis is placed on the matching between data types and mobility subjects. Finally, we present two research projects as case studies to demonstrate the entire process of understanding urban human mobility through crowdsensed data on a city-wide scale and a building-wide scale, respectively. Beyond demonstration purposes, the two case studies also make contributions to their category of certain crowdsensed data types and mobility subjects. |
<|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 Need for Cultural Inclusivity in Global Palliative Nursing Caring for Selected Underserved Populations in the United States."
Abstract:"It is estimated that 11.1 million people in the United States are living with serious illness, and most people with serious illness need palliative care. Quality palliative care incorporates culturally sensitive care, and with the increasing diversity in the United States, it has become even more critical that nurses and health care professionals be prepared to meet the unique needs of those living within the diverse and underserved populations of this country. Advocating for access to palliative care for the seriously ill, culturally respectful care at the end of life, and honoring values, practices, and beliefs are essential roles of the nurse. This article presents 4 examples of individuals from diverse and potentially vulnerable US populations who face unique challenges as they deal with their life-limiting diseases and face end of 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 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [0]. | abs01826 | 10.1097/NJH.0000000000000575 | The Need for Cultural Inclusivity in Global Palliative Nursing Caring for Selected Underserved Populations in the United States | It is estimated that 11.1 million people in the United States are living with serious illness, and most people with serious illness need palliative care. Quality palliative care incorporates culturally sensitive care, and with the increasing diversity in the United States, it has become even more critical that nurses and health care professionals be prepared to meet the unique needs of those living within the diverse and underserved populations of this country. Advocating for access to palliative care for the seriously ill, culturally respectful care at the end of life, and honoring values, practices, and beliefs are essential roles of the nurse. This article presents 4 examples of individuals from diverse and potentially vulnerable US populations who face unique challenges as they deal with their life-limiting diseases and face end of 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:"Experience of Urban Hospitality: An Ecological Approach to the Migrants' World."
Abstract:"This article was inspired by a collaborative action-research experience undertaken in Brussels by ARCH (Action Research Collective for Hospitality), aimed at further understanding the dynamics of hospitality and improving hospitality towards refugees, based on collaboration with actors of civil society. In a context of spreading policies of hostility and exclusion in Europe and the lack of arrival infrastructures for undocumented migrants, asylum seekers and refugees, the people tend to occupy public spaces of the city. Consequently, these spaces become the central nodes where civil society organizes the humanitarian aid and practices of hospitality and at the same time are places for interactional tensions and institutional violence. In other words, they become an urban stage where the tension between hospitality and exclusion is played out. Based on this research, our article proposes to take the urban consequences of hostility policies seriously by analyzing the ecology of the migrants' world in the city. Our aim is to understand their experience of segregation and hospitality in the urban environment-and more specifically in public spaces. Public spaces are indeed the only livable spaces for people for whom no room has been made. However, what constitutes their hospitality for migrants, i.e., their capacity to be inhabited, enters into tension with the constitutive dimensions of urban publicness (like accessibility, visibility, or urbanity). Understanding the experience of hospitality in urban public spaces for those who have no other place to live is seen as a condition as well as a means to enhance their urban inclusion.."
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 = [0]. | abs06085 | 10.17645/up.v5i3.3069 | Experience of Urban Hospitality: An Ecological Approach to the Migrants' World | This article was inspired by a collaborative action-research experience undertaken in Brussels by ARCH (Action Research Collective for Hospitality), aimed at further understanding the dynamics of hospitality and improving hospitality towards refugees, based on collaboration with actors of civil society. In a context of spreading policies of hostility and exclusion in Europe and the lack of arrival infrastructures for undocumented migrants, asylum seekers and refugees, the people tend to occupy public spaces of the city. Consequently, these spaces become the central nodes where civil society organizes the humanitarian aid and practices of hospitality and at the same time are places for interactional tensions and institutional violence. In other words, they become an urban stage where the tension between hospitality and exclusion is played out. Based on this research, our article proposes to take the urban consequences of hostility policies seriously by analyzing the ecology of the migrants' world in the city. Our aim is to understand their experience of segregation and hospitality in the urban environment-and more specifically in public spaces. Public spaces are indeed the only livable spaces for people for whom no room has been made. However, what constitutes their hospitality for migrants, i.e., their capacity to be inhabited, enters into tension with the constitutive dimensions of urban publicness (like accessibility, visibility, or urbanity). Understanding the experience of hospitality in urban public spaces for those who have no other place to live is seen as a condition as well as a means to enhance their urban inclusion. |
<|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:"Intense community dynamics in the pre-Roman frontier site of Fermo (ninth-fifth century BCE, Marche, central Italy) inferred from isotopic data."
Abstract:"The Early Iron Age in Italy (end of the tenth to the eighth century BCE) was characterized by profound changes which influenced the subsequent political and cultural scenario in the peninsula. At the end of this period people from the eastern Mediterranean (e.g. Phoenicians and Greek people) settled along the Italian, Sardinian and Sicilian coasts. Among local populations, the so-called Villanovan culture group-mainly located on the Tyrrhenian side of central Italy and in the southern Po plain-stood out since the beginning for the extent of their geographical expansion across the peninsula and their leading position in the interaction with diverse groups. The community of Fermo (ninth-fifth century BCE), related to the Villanovan groups but located in the Picene area (Marche), is a model example of these population dynamics. This study integrates archaeological, osteological, carbon (delta C-13), nitrogen (delta N-15) (n = 25 human) and strontium (Sr-87/Sr-86) isotope data (n = 54 human, n = 11 baseline samples) to explore human mobility through Fermo funerary contexts. The combination of these different sources enabled us to confirm the presence of non-local individuals and gain insight into community connectivity dynamics in Early Iron Age Italian frontier sites. This research contributes to one of the leading historical questions of Italian development in the first millennium BCE.."
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]. | abs14246 | 10.1038/s41598-023-29466-3 | Intense community dynamics in the pre-Roman frontier site of Fermo (ninth-fifth century BCE, Marche, central Italy) inferred from isotopic data | The Early Iron Age in Italy (end of the tenth to the eighth century BCE) was characterized by profound changes which influenced the subsequent political and cultural scenario in the peninsula. At the end of this period people from the eastern Mediterranean (e.g. Phoenicians and Greek people) settled along the Italian, Sardinian and Sicilian coasts. Among local populations, the so-called Villanovan culture group-mainly located on the Tyrrhenian side of central Italy and in the southern Po plain-stood out since the beginning for the extent of their geographical expansion across the peninsula and their leading position in the interaction with diverse groups. The community of Fermo (ninth-fifth century BCE), related to the Villanovan groups but located in the Picene area (Marche), is a model example of these population dynamics. This study integrates archaeological, osteological, carbon (delta C-13), nitrogen (delta N-15) (n = 25 human) and strontium (Sr-87/Sr-86) isotope data (n = 54 human, n = 11 baseline samples) to explore human mobility through Fermo funerary contexts. The combination of these different sources enabled us to confirm the presence of non-local individuals and gain insight into community connectivity dynamics in Early Iron Age Italian frontier sites. This research contributes to one of the leading historical questions of Italian development in the first millennium BCE. |
<|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:"Plant Terpenoids as Hit Compounds against Trypanosomiasis."
Abstract:"Human African trypanosomiasis (sleeping sickness) and American trypanosomiasis (Chagas disease) are vector-borne neglected tropical diseases, caused by the protozoan parasites Trypanosoma brucei and Trypanosoma cruzi, respectively. These diseases were circumscribed to South American and African countries in the past. However, human migration, military interventions, and climate changes have had an important effect on their worldwide propagation, particularly Chagas disease. Currently, the treatment of trypanosomiasis is not ideal, becoming a challenge in poor populations with limited resources. Exploring natural products from higher plants remains a valuable approach to find new hits and enlarge the pipeline of new drugs against protozoal human infections. This review covers the recent studies (2016-2021) on plant terpenoids, and their semi-synthetic derivatives, which have shown promising in vitro and in vivo activities against Trypanosoma parasites.."
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]. | abs21835 | 10.3390/ph15030340 | Plant Terpenoids as Hit Compounds against Trypanosomiasis | Human African trypanosomiasis (sleeping sickness) and American trypanosomiasis (Chagas disease) are vector-borne neglected tropical diseases, caused by the protozoan parasites Trypanosoma brucei and Trypanosoma cruzi, respectively. These diseases were circumscribed to South American and African countries in the past. However, human migration, military interventions, and climate changes have had an important effect on their worldwide propagation, particularly Chagas disease. Currently, the treatment of trypanosomiasis is not ideal, becoming a challenge in poor populations with limited resources. Exploring natural products from higher plants remains a valuable approach to find new hits and enlarge the pipeline of new drugs against protozoal human infections. This review covers the recent studies (2016-2021) on plant terpenoids, and their semi-synthetic derivatives, which have shown promising in vitro and in vivo activities against Trypanosoma parasites. |
<|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 Rhetoric and Reality of Localisation: Refugee-Led Organisations in Humanitarian Governance."
Abstract:"When refugees flee war and persecution, protection and assistance are usually provided by United Nations organisations and their NGO implementing partners. In parallel is a largely neglected story: refugees themselves frequently mobilise to provide protection and assistance to other refugees. At a global level, there has been a shift in international policy rhetoric towards 'localisation' and inclusion of refugees, which potentially provides an opportunity to engage with refugee-led community organisations (RLOs). However, RLOs rarely receive access to international recognition or funding despite often being regarded by refugees as an important source of assistance. In this paper we draw upon ethnographic research on the interactions between international institutions and RLOs in Kampala, Uganda, to explore how 'localisation' unfolds in practice within humanitarian governance. In the absence of a clear policy framework for localisation at the global level, national level representatives have considerable discretion in whether and how they partner with RLOs, leading largely to their exclusion - and the development of alternative support strategies by RLOs. We suggest that an effective localisation agenda will require much more attention to the role of power and interests at the local level if RLOs are to be engaged as meaningful actors in humanitarian assistance.."
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 = [1];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs11501 | 10.1080/00220388.2020.1802010 | The Rhetoric and Reality of Localisation: Refugee-Led Organisations in Humanitarian Governance | When refugees flee war and persecution, protection and assistance are usually provided by United Nations organisations and their NGO implementing partners. In parallel is a largely neglected story: refugees themselves frequently mobilise to provide protection and assistance to other refugees. At a global level, there has been a shift in international policy rhetoric towards 'localisation' and inclusion of refugees, which potentially provides an opportunity to engage with refugee-led community organisations (RLOs). However, RLOs rarely receive access to international recognition or funding despite often being regarded by refugees as an important source of assistance. In this paper we draw upon ethnographic research on the interactions between international institutions and RLOs in Kampala, Uganda, to explore how 'localisation' unfolds in practice within humanitarian governance. In the absence of a clear policy framework for localisation at the global level, national level representatives have considerable discretion in whether and how they partner with RLOs, leading largely to their exclusion - and the development of alternative support strategies by RLOs. We suggest that an effective localisation agenda will require much more attention to the role of power and interests at the local level if RLOs are to be engaged as meaningful actors in humanitarian assistance. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Community After All? An Inside Perspective on Encampment in Haiti."
Abstract:"This article demonstrates the limits of the camp as a place to live from the point of view of displaced people: what is a camp for those who live inside? Why not envisage the camps as central place, where life is going on with, or without, the humanitarian help? It studies the differences between two different settlements created after the 2010 earthquake. One has been formally set up by non-governmental organizations but has ended up being abandoned by the humanitarian organizations due to troubles with the inhabitants. The other is a spontaneous settlement that has absorbed populations from other camps, and is today in a working condition organized informally by inhabitants themselves. In the first case, experiences of community and belonging of the post-earthquake population seems have been frustrated; in the second case, these sentiments could be an explanation of the informal forward projection. Thus, they pass from a liminal statement to a central perception. The monographic approach permits understanding the dynamics and the identitarian background of the installation in the camps.."
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 = [];
Q5 = [];
Q6 = [0]. | abs02847 | 10.1093/jrs/fev022 | Community After All? An Inside Perspective on Encampment in Haiti | This article demonstrates the limits of the camp as a place to live from the point of view of displaced people: what is a camp for those who live inside? Why not envisage the camps as central place, where life is going on with, or without, the humanitarian help? It studies the differences between two different settlements created after the 2010 earthquake. One has been formally set up by non-governmental organizations but has ended up being abandoned by the humanitarian organizations due to troubles with the inhabitants. The other is a spontaneous settlement that has absorbed populations from other camps, and is today in a working condition organized informally by inhabitants themselves. In the first case, experiences of community and belonging of the post-earthquake population seems have been frustrated; in the second case, these sentiments could be an explanation of the informal forward projection. Thus, they pass from a liminal statement to a central perception. The monographic approach permits understanding the dynamics and the identitarian background of the installation in the camps. |
<|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 security of urban migrant populations affected by length of residence and environmental hazards."
Abstract:"It is widely suggested that migration is a key mechanism linking climate change to violent conflict, particularly through migration increasing the risks of conflict in urban destinations. Yet climate change also creates new forms of insecurity through distress migration, immobility and vulnerability that are prevalent in urban destination locations. Here we examine the extent and nature of human security in migration destinations and test whether insecurity is affected by length of residence and environmental hazards. The study develops an index measure of human security at the individual level to include environmental and climate-related hazards as well as sources of well-being, fear of crime and violence, and mental health outcomes. It examines the elements of human security that explain the prevalence of insecurity among recent and established migrants in low-income urban neighbourhoods. The study reports on data collected in Chattogram in Bangladesh through a survey of migrants (N = 447) and from qualitative data derived using photo elicitation techniques with cohorts of city planners and migrants. The results show that environmental hazards represent an increasing source of perceived insecurity to migrant populations over time, with longer-term migrants perceiving greater insecurity than more recent arrivals, suggesting lack of upward social mobility in low-income slums. Ill-health, fear of eviction, and harassment and violence are key elements of how insecurity is experienced, and these are exacerbated by environmental hazards such as flooding. The study expands the concept of security to encompass central elements of personal risk and well-being and outlines the implications for climate change.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
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Q6 = [1]. | abs19896 | 10.1177/0022343320973717 | Human security of urban migrant populations affected by length of residence and environmental hazards | It is widely suggested that migration is a key mechanism linking climate change to violent conflict, particularly through migration increasing the risks of conflict in urban destinations. Yet climate change also creates new forms of insecurity through distress migration, immobility and vulnerability that are prevalent in urban destination locations. Here we examine the extent and nature of human security in migration destinations and test whether insecurity is affected by length of residence and environmental hazards. The study develops an index measure of human security at the individual level to include environmental and climate-related hazards as well as sources of well-being, fear of crime and violence, and mental health outcomes. It examines the elements of human security that explain the prevalence of insecurity among recent and established migrants in low-income urban neighbourhoods. The study reports on data collected in Chattogram in Bangladesh through a survey of migrants (N = 447) and from qualitative data derived using photo elicitation techniques with cohorts of city planners and migrants. The results show that environmental hazards represent an increasing source of perceived insecurity to migrant populations over time, with longer-term migrants perceiving greater insecurity than more recent arrivals, suggesting lack of upward social mobility in low-income slums. Ill-health, fear of eviction, and harassment and violence are key elements of how insecurity is experienced, and these are exacerbated by environmental hazards such as flooding. The study expands the concept of security to encompass central elements of personal risk and well-being and outlines the implications for climate change. |
<|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:"Libyan armed conflict 2011: Mortality, injury and population displacement."
Abstract:"Background: Armed conflicts can negatively affect health services and cause injuries and death. The recent Arab uprising has been associated with considerable damage to infrastructure and loss of human lives. The aim of this study was to determine mortality, injuries and population displacement that occurred during the recent Libyan armed conflict. Methods: A systematic cross-sectional field survey and non-structured search was carried out over fourteen provinces in six Libyan regions, representing the primary sites of the armed conflict between February 2011 and February 2012. Thirty-five percent of the total area of Libya and 62.4% of the Libyan population were involved in the study. The mortality and injury rates were determined and the number of displaced people was calculated during the conflict period. Results: A total of 21,490 (0.5%) persons were killed, 19,700 (0.47%) injured and 435,000 (10.33%) displaced. The overall mortality rate was found to be 5.1 per 1000 per year (95% CI 4.1-7.4) and injury rate was found to be 4.7 per 1000 per year (95% CI 3.9-7.2) but varied by both region and time, reaching peak rates by July-August 2011. Conclusion: The Libyan armed conflict resulted in great human loss and social damage mirrored by high rates of mortality, injury and human displacement. Such parameters peaked as the conflict escalated and differed according to the Libyan regions and provinces involved. National and international efforts should be combined to overcome the consequences of these conflicts.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs03064 | 10.1016/j.afjem.2015.02.002 | Libyan armed conflict 2011: Mortality, injury and population displacement | Background: Armed conflicts can negatively affect health services and cause injuries and death. The recent Arab uprising has been associated with considerable damage to infrastructure and loss of human lives. The aim of this study was to determine mortality, injuries and population displacement that occurred during the recent Libyan armed conflict. Methods: A systematic cross-sectional field survey and non-structured search was carried out over fourteen provinces in six Libyan regions, representing the primary sites of the armed conflict between February 2011 and February 2012. Thirty-five percent of the total area of Libya and 62.4% of the Libyan population were involved in the study. The mortality and injury rates were determined and the number of displaced people was calculated during the conflict period. Results: A total of 21,490 (0.5%) persons were killed, 19,700 (0.47%) injured and 435,000 (10.33%) displaced. The overall mortality rate was found to be 5.1 per 1000 per year (95% CI 4.1-7.4) and injury rate was found to be 4.7 per 1000 per year (95% CI 3.9-7.2) but varied by both region and time, reaching peak rates by July-August 2011. Conclusion: The Libyan armed conflict resulted in great human loss and social damage mirrored by high rates of mortality, injury and human displacement. Such parameters peaked as the conflict escalated and differed according to the Libyan regions and provinces involved. National and international efforts should be combined to overcome the consequences of these conflicts. |
<|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:"Cultural, Spatial, and Legal Displacement of the Korean Diaspora in the USSR: 1937-1945."
Abstract:"Korean migration to the Russian Empire and USSR occurred mainly during the years between 1869 and 1931. These Koreans came both directly from the peninsula itself and from Korean settlements in Manchuria. They remained overwhelmingly concentrated in the Russian Far East until 1937. From 9 September to 3 November 1937 the NKVD (Peoples' Commissariat of Internal Affairs) of the USSR loaded around 172,000 ethnic Koreans into train cars and sent them to the Kazakh and Uzbek SSRs. This action cleared the eastern regions of the RSFSR (Russian Socialist Federated Soviet Republic) of the vast majority of its Korean population and created a significant diaspora in Central Asia. The official justification for this operation was the claim that the ethnic Koreans could serve to hide spies and saboteurs sent from the Japanese Empire. The relocated Koreans suffered from severe material deprivations during their initial years in Kazakhstan and Uzbekistan. The Soviet government also placed its citizens of Korean ancestry relocated to Kazakhstan and Uzbekistan under a system of legal restrictions termed administrative exile. Finally, after 1939 they eliminated almost all Korean cultural institutions until years after the defeat of Japan. These factors made adaptation by the Koreans to their new areas of settlement difficult. Nonetheless, they managed to eventually overcome these obstacles and successfully integrate into the social, economic, and even political spheres of Soviet Central Asia. This paper will examine the early years of the Korean diaspora in Central Asia from 1937 to 1945. It will look at how the forced resettlement and subsequent material and legal disadvantages during these years transformed the group from its previous existence in the Soviet Far East. The paper will also address the role of geopolitical conflict in Asia between the USSR and Japan in determining Soviet policy towards this ethnic minority.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
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Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs18682 | gen.2018.53978571 | Cultural, Spatial, and Legal Displacement of the Korean Diaspora in the USSR: 1937-1945 | Korean migration to the Russian Empire and USSR occurred mainly during the years between 1869 and 1931. These Koreans came both directly from the peninsula itself and from Korean settlements in Manchuria. They remained overwhelmingly concentrated in the Russian Far East until 1937. From 9 September to 3 November 1937 the NKVD (Peoples' Commissariat of Internal Affairs) of the USSR loaded around 172,000 ethnic Koreans into train cars and sent them to the Kazakh and Uzbek SSRs. This action cleared the eastern regions of the RSFSR (Russian Socialist Federated Soviet Republic) of the vast majority of its Korean population and created a significant diaspora in Central Asia. The official justification for this operation was the claim that the ethnic Koreans could serve to hide spies and saboteurs sent from the Japanese Empire. The relocated Koreans suffered from severe material deprivations during their initial years in Kazakhstan and Uzbekistan. The Soviet government also placed its citizens of Korean ancestry relocated to Kazakhstan and Uzbekistan under a system of legal restrictions termed administrative exile. Finally, after 1939 they eliminated almost all Korean cultural institutions until years after the defeat of Japan. These factors made adaptation by the Koreans to their new areas of settlement difficult. Nonetheless, they managed to eventually overcome these obstacles and successfully integrate into the social, economic, and even political spheres of Soviet Central Asia. This paper will examine the early years of the Korean diaspora in Central Asia from 1937 to 1945. It will look at how the forced resettlement and subsequent material and legal disadvantages during these years transformed the group from its previous existence in the Soviet Far East. The paper will also address the role of geopolitical conflict in Asia between the USSR and Japan in determining Soviet policy towards this ethnic minority. |
<|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:"Accessibility of health and social services to immigrant elders: the Islington Study."
Abstract:"Background Numbers of immigrant elders are increasing and it is unclear whether they can access services. Aims To examine service utilisation of older immigrants compared with their UK-born counterparts and relate it to health difficulties. Method Cross-sectional study in inner London measuring service use, mental health and disability. Results A total of 1085 people aged greater than or equal to65 years were interviewed. Independent predictors of contact with a general practitioner included being born in Cyprus, Cypriots were the only immigrant population to report significantly more somatic symptoms than those born in the UK (P=0.005). Africans and Caribbeans used day care and other social services most frequently. Conclusions Immigrants could access services. Africans and Caribbeans appear to have poorer physical health and thus have greater contact with services, Cypriots who experience depression may present with prominent somatic symptoms. This is likely to be due to a different idiom of distress. Declaration of interest Part-funded by the Ethnic Health Unit, Department of Health.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
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Q2 = [6];
Q3 = [1];
Q4 = [0];
Q5 = [];
Q6 = [1]. | abs04868 | 10.1192/bjp.180.4.369 | Accessibility of health and social services to immigrant elders: the Islington Study | Background Numbers of immigrant elders are increasing and it is unclear whether they can access services. Aims To examine service utilisation of older immigrants compared with their UK-born counterparts and relate it to health difficulties. Method Cross-sectional study in inner London measuring service use, mental health and disability. Results A total of 1085 people aged greater than or equal to65 years were interviewed. Independent predictors of contact with a general practitioner included being born in Cyprus, Cypriots were the only immigrant population to report significantly more somatic symptoms than those born in the UK (P=0.005). Africans and Caribbeans used day care and other social services most frequently. Conclusions Immigrants could access services. Africans and Caribbeans appear to have poorer physical health and thus have greater contact with services, Cypriots who experience depression may present with prominent somatic symptoms. This is likely to be due to a different idiom of distress. Declaration of interest Part-funded by the Ethnic Health Unit, Department of Health. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Suffering to Save Lives: Torture, Cruelty, and Moral Disengagement in Australia's Offshore Detention Centres."
Abstract:"Since Australia re-established offshore processing on Manus Island and Nauru in 2012, there have been ongoing reports that asylum seekers and refugees are being subjected to torture and cruel, inhuman or degrading treatment or punishment (CIDT). People in detention have endured indefinite detention, inadequate provision of health care, and sexual, physical, and mental harm as the government attempts to 'stop the boats' and prevent deaths at sea. How can Australia continue to violate the UN Convention against Torture and Other Cruel, Inhuman or Degrading Treatment or Punishment, while at the same time, promote its offshore detention policies worldwide? This article explores how Australia has engaged in moral disengagement from the pain and suffering of people in detention. Examining self-deception strategies such as denial of torture, denial of responsibility, and denial of wrongdoing, it shows not only how Australia privileged migration deterrence goals over human rights considerations, but utilized legal and humanitarian arguments to evade accountability and deny the existence of, and responsibility and wrongdoing for, torture and CIDT. This article explores the under-examined issue of moral disengagement to show how it is exacerbating the vulnerability of asylum seekers and refugees to torture and CIDT along their migration journeys.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5];
Q3 = [1];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs05510 | 10.1093/jrs/feac041 | Suffering to Save Lives: Torture, Cruelty, and Moral Disengagement in Australia's Offshore Detention Centres | Since Australia re-established offshore processing on Manus Island and Nauru in 2012, there have been ongoing reports that asylum seekers and refugees are being subjected to torture and cruel, inhuman or degrading treatment or punishment (CIDT). People in detention have endured indefinite detention, inadequate provision of health care, and sexual, physical, and mental harm as the government attempts to 'stop the boats' and prevent deaths at sea. How can Australia continue to violate the UN Convention against Torture and Other Cruel, Inhuman or Degrading Treatment or Punishment, while at the same time, promote its offshore detention policies worldwide? This article explores how Australia has engaged in moral disengagement from the pain and suffering of people in detention. Examining self-deception strategies such as denial of torture, denial of responsibility, and denial of wrongdoing, it shows not only how Australia privileged migration deterrence goals over human rights considerations, but utilized legal and humanitarian arguments to evade accountability and deny the existence of, and responsibility and wrongdoing for, torture and CIDT. This article explores the under-examined issue of moral disengagement to show how it is exacerbating the vulnerability of asylum seekers and refugees to torture and CIDT along their migration journeys. |
<|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:"Khat use and intimate partner violence in a refugee population: a qualitative study in Dollo Ado, Ethiopia."
Abstract:"BackgroundIntimate partner violence (IPV) is the most common form of gender-based violence affecting women and girls worldwide and is exacerbated in humanitarian crises. There is evidence that substance use is associated with male perpetration of IPV. Consumption of khat -a plant containing amphetamines traditionally chewed in the horn of Africa and legal in some countries including Ethiopia-may increase risk of IPV toward women. This analysis aimed to assess perceptions on khat use among Somali refugees in Dollo Ado, Ethiopia and its association with IPV to inform an IPV and HIV prevention intervention.MethodsA descriptive qualitative study comprising individual interviews (n=30) and focus group discussions (n=10) was conducted in Bokolmayo refugee camp in Dollo Ado, Ethiopia in October 2016. A purposive sample of male and female Somali refugees, religious and community leaders, and service providers (n=110 individuals; 44 women and 66 men) was included. Trained interviewers from the camp conducted the interviews and discussion, which were audio recorded, transcribed and translated. A content analysis was conducted on coded excerpts from the transcripts to identify factors contributing to IPV toward women, including khat use.ResultsParticipants reported that displacement has resulted in limited employment opportunities for men and increased idle time, which has led to increased khat use among men as a coping mechanism. Male khat use was perceived to be associated with perpetration of physical and sexual IPV through several mechanisms including increased anger and aggression and enhanced sexual desire. Khat use also contributes to intra-marital conflict as money allocated for a household is spent on purchasing khat.ConclusionKhat use should be addressed as part of IPV prevention programming in this context. Livelihood interventions and other strategies to improve economic conditions, should be explored in collaboration with refugee camp authorities and community leaders as a potential avenue to mitigate the impact of khat use on women and families.."
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 = [];
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Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
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Q6 = [0]. | abs11711 | 10.1186/s12889-020-08837-9 | Khat use and intimate partner violence in a refugee population: a qualitative study in Dollo Ado, Ethiopia | BackgroundIntimate partner violence (IPV) is the most common form of gender-based violence affecting women and girls worldwide and is exacerbated in humanitarian crises. There is evidence that substance use is associated with male perpetration of IPV. Consumption of khat -a plant containing amphetamines traditionally chewed in the horn of Africa and legal in some countries including Ethiopia-may increase risk of IPV toward women. This analysis aimed to assess perceptions on khat use among Somali refugees in Dollo Ado, Ethiopia and its association with IPV to inform an IPV and HIV prevention intervention.MethodsA descriptive qualitative study comprising individual interviews (n=30) and focus group discussions (n=10) was conducted in Bokolmayo refugee camp in Dollo Ado, Ethiopia in October 2016. A purposive sample of male and female Somali refugees, religious and community leaders, and service providers (n=110 individuals; 44 women and 66 men) was included. Trained interviewers from the camp conducted the interviews and discussion, which were audio recorded, transcribed and translated. A content analysis was conducted on coded excerpts from the transcripts to identify factors contributing to IPV toward women, including khat use.ResultsParticipants reported that displacement has resulted in limited employment opportunities for men and increased idle time, which has led to increased khat use among men as a coping mechanism. Male khat use was perceived to be associated with perpetration of physical and sexual IPV through several mechanisms including increased anger and aggression and enhanced sexual desire. Khat use also contributes to intra-marital conflict as money allocated for a household is spent on purchasing khat.ConclusionKhat use should be addressed as part of IPV prevention programming in this context. Livelihood interventions and other strategies to improve economic conditions, should be explored in collaboration with refugee camp authorities and community leaders as a potential avenue to mitigate the impact of khat use on women and families. |
<|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:"Countering Indeterminate Temporariness: Sheltering work in refugee camps."
Abstract:"The experience of temporariness is increasingly prevalent across the world, both for transient populations such as refugees and in work life characterized by precarious employment relationships. In this article, we examine how local institutional work can shape people's experience of indeterminate temporariness and mitigate its pernicious effects. Our qualitative, inductive study is set in refugee camps in Lebanon, where indeterminate temporariness created an oppressive experience of time among Syrian refugees. We document the efforts of an NGO to help refugees rebuild meaningful lives by developing small-scale entrepreneurial ventures - efforts we conceptualize as 'sheltering work'. Our analysis points to the potential for sheltering work to alleviate the oppressive effects of temporariness by bounding, containing, and structuring individuals' day-to-day lives. Although sheltering work reshaped refugees' experience of time, it did not eradicate the oppressive effects of indeterminate temporariness; instead, oppressive and reclaimed experiences of time coexisted, with individuals shifting between them. Our study theorizes sheltering work as a potent form of modest, local institutional work in the face of immutable institutions, and elaborates how individual experiences of time influence embedded agency.."
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 = [];
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Q1 = [1];
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Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs21110 | 10.1177/01708406221116600 | Countering Indeterminate Temporariness: Sheltering work in refugee camps | The experience of temporariness is increasingly prevalent across the world, both for transient populations such as refugees and in work life characterized by precarious employment relationships. In this article, we examine how local institutional work can shape people's experience of indeterminate temporariness and mitigate its pernicious effects. Our qualitative, inductive study is set in refugee camps in Lebanon, where indeterminate temporariness created an oppressive experience of time among Syrian refugees. We document the efforts of an NGO to help refugees rebuild meaningful lives by developing small-scale entrepreneurial ventures - efforts we conceptualize as 'sheltering work'. Our analysis points to the potential for sheltering work to alleviate the oppressive effects of temporariness by bounding, containing, and structuring individuals' day-to-day lives. Although sheltering work reshaped refugees' experience of time, it did not eradicate the oppressive effects of indeterminate temporariness; instead, oppressive and reclaimed experiences of time coexisted, with individuals shifting between them. Our study theorizes sheltering work as a potent form of modest, local institutional work in the face of immutable institutions, and elaborates how individual experiences of time influence embedded agency. |
<|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:"Examining complexities of forest cover change during armed conflict on Nicaragua's Atlantic Coast."
Abstract:"The effects of armed conflict on biodiversity are an emerging concern in conservation due in part to the occurrence of war in biodiversity hotspots, though few studies have addressed it. We investigate this topic by examining changes in forest cover on the Atlantic Coast of Nicaragua from 1978 to 1993, a period covering their civil war. We predict an increase in forest cover between pre- and post-conflict periods as residents abandoned agriculture plots and migrated from conflict areas. We used a remote sensing approach to detect changes in forest cover area and fragmentation at two study sites. Results confirmed that in the first 5-7 years of the conflict, reforestation was greater than deforestation, but in the latter years of the conflict deforested land almost doubled that which was reforested. Although some forest loss was due to Category 4 Hurricane Joan, several conflict-related factors were partially responsible for these results, such as mass human migration and land reform. Understanding how and why forest cover changes during periods of conflict can help conservationists protect resources both during war and in the tumultuous period following the cessation of violence when nascent governments lack the power to effectively govern and community institutions are fractured by war. In areas where the livelihoods of people are directly dependent on local resources, anticipating ecological and social impacts can help improve future conservation efforts.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
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Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [4];
Q3 = [2];
Q4 = [16,40];
Q5 = [];
Q6 = [1]. | abs06971 | 10.1007/s10531-011-0093-1 | Examining complexities of forest cover change during armed conflict on Nicaragua's Atlantic Coast | The effects of armed conflict on biodiversity are an emerging concern in conservation due in part to the occurrence of war in biodiversity hotspots, though few studies have addressed it. We investigate this topic by examining changes in forest cover on the Atlantic Coast of Nicaragua from 1978 to 1993, a period covering their civil war. We predict an increase in forest cover between pre- and post-conflict periods as residents abandoned agriculture plots and migrated from conflict areas. We used a remote sensing approach to detect changes in forest cover area and fragmentation at two study sites. Results confirmed that in the first 5-7 years of the conflict, reforestation was greater than deforestation, but in the latter years of the conflict deforested land almost doubled that which was reforested. Although some forest loss was due to Category 4 Hurricane Joan, several conflict-related factors were partially responsible for these results, such as mass human migration and land reform. Understanding how and why forest cover changes during periods of conflict can help conservationists protect resources both during war and in the tumultuous period following the cessation of violence when nascent governments lack the power to effectively govern and community institutions are fractured by war. In areas where the livelihoods of people are directly dependent on local resources, anticipating ecological and social impacts can help improve future conservation efforts. |
<|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:"MIDDLE EAST ENCOUNTERS 69 DEGREES NORTH LATITUDE: SYRIAN REFUGEES AND EVERYDAY HUMANITARIANISM IN THE ARCTIC."
Abstract:"In late 2015, approximately 2,000 Syrian asylum seekers made their way into Norway via the Arctic passage from Russia. What ensued are global moments, breakthrough events that have reshaped lives and futures for both the refugees and those who aided them, and it is the latter group on which this article focuses. As refugees began arriving in Arctic Norway, Refugees Welcome to the Arctic, an ad hoc grassroots organization, was formed to assist them. This group of ordinary people, most of them with no previous humanitarian experience, took action in defiance of Norwegian government policies, and providing food became the focus of their efforts. Refugees Welcome to the Arctic members often described being motived to act by their own traumatic memories of the region's experience of World War II, a time of deprivation and brutality suffered at the hands of the retreating German army. Food, as an enactment of compassion, is shown to be a powerful means through which people connect in very personal, concrete ways to the humanitarian enterprise.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
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Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5];
Q3 = [2];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs07205 | 10.1017/S0020743817000630 | MIDDLE EAST ENCOUNTERS 69 DEGREES NORTH LATITUDE: SYRIAN REFUGEES AND EVERYDAY HUMANITARIANISM IN THE ARCTIC | In late 2015, approximately 2,000 Syrian asylum seekers made their way into Norway via the Arctic passage from Russia. What ensued are global moments, breakthrough events that have reshaped lives and futures for both the refugees and those who aided them, and it is the latter group on which this article focuses. As refugees began arriving in Arctic Norway, Refugees Welcome to the Arctic, an ad hoc grassroots organization, was formed to assist them. This group of ordinary people, most of them with no previous humanitarian experience, took action in defiance of Norwegian government policies, and providing food became the focus of their efforts. Refugees Welcome to the Arctic members often described being motived to act by their own traumatic memories of the region's experience of World War II, a time of deprivation and brutality suffered at the hands of the retreating German army. Food, as an enactment of compassion, is shown to be a powerful means through which people connect in very personal, concrete ways to the humanitarian enterprise. |
<|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:"Narrative and Property in Kibagare."
Abstract:"The challenges associated with the allocation of ownership of property related to shelter in post-conflict environments is a constant and pressing concern. This article is based on research undertaken in Kibagare, a small village within Nairobi, which was born out of the struggle for independence and the conflicts and population displacements with which independence was associated. The nature of the disputes, some violent, over property ownership was investigated particularly as it affected household claims to their shelters and the land on which they lie. Who owns what and whose claim is paramount are open question in Kibagare: there are a number of different narratives people deploy to support and also explain and justify their claims. To understand land as property in Kibagare is not only to understand the play of narratives but also more critically to see how these narratives appeal to different conceptions of property, competing ideas about what underlies the right to a claim and what provides authority for that claim. Understanding this provides critical insights into why land ownership in Kibagare is typified both by stability and volatility. It will reveal how the challenges associated with the administration of land are not simply or necessarily the result of a post-conflict situation alone. It is the result of the understandings that underlie the various land claims and stakeholder narratives that provide the ballast that give the claims weight.."
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 = [];
Q6 = [0]. | abs03691 | 10.1080/08039410.2013.782889 | Narrative and Property in Kibagare | The challenges associated with the allocation of ownership of property related to shelter in post-conflict environments is a constant and pressing concern. This article is based on research undertaken in Kibagare, a small village within Nairobi, which was born out of the struggle for independence and the conflicts and population displacements with which independence was associated. The nature of the disputes, some violent, over property ownership was investigated particularly as it affected household claims to their shelters and the land on which they lie. Who owns what and whose claim is paramount are open question in Kibagare: there are a number of different narratives people deploy to support and also explain and justify their claims. To understand land as property in Kibagare is not only to understand the play of narratives but also more critically to see how these narratives appeal to different conceptions of property, competing ideas about what underlies the right to a claim and what provides authority for that claim. Understanding this provides critical insights into why land ownership in Kibagare is typified both by stability and volatility. It will reveal how the challenges associated with the administration of land are not simply or necessarily the result of a post-conflict situation alone. It is the result of the understandings that underlie the various land claims and stakeholder narratives that provide the ballast that give the claims weight. |
<|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 20-year retrospective cohort study of TB infection among the Hill-tribe HIV/AIDS populations, Thailand."
Abstract:"Background: A retrospective cohort study was conducted to determine the situation, trend, and factors associated with TB infection, and factors related to the life status among the HIV/AIDS Hill-tribe in Northern Thailand. Hill-tribe people have been migrating to and formed settlements along the Thai border areas for many decades. There are now having 1.6 million people of 6 different groups Akha, Lahu, Lisu, Hmong, Yao and Keren each with a specific culture, language and lifestyle. The Hill-tribe becomes a new vulnerable of HIV and TB infections in Thailand. Methods: A systematic data-reviewing approach was used to identify the information from the rosters of ARV clinics, OPD cards, and laboratory reports from 16 hospitals in Chiang Rai Province, Thailand. The data were collected from the first reported HIV/AIDS case of the Hill-tribe to the end of 2010. A chi-square test and logistic regression models were used to identify associations at the significance level of alpha = 0.05. Results: A total of 3,130 cases were included in the study. The majority of patients were Akha (46.0 %) followed by Lahu (19.7 %), 54.6 % were males, 44.6 % were 26-35 years old. The major risk factor of HIV infection was sexual intercourse (93.1 %); 23.9 % were still alive at the date of data collection, 30.7 % were diagnosed with pulmonary TB. The Akha Hill-tribe HIV/AIDS individuals had a greater chance of TB infection than did Yao individuals with ORadj = 1.50 (95 % CI = 1.01-1.92). Females had a greater chance of TB infection than males with ORadj = 1.33 (95 % CI = 1.11-1.59); being classified as HIV and AIDS groups had a greater chance of TB infection than those asymptomatic group with ORadj = 11.59 (95 % CI = 7.19-18.71), and ORadj = 1.71 (95 % CI = 1.03-2.87); and not having received the ARV group had a greater chance of TB infection than those who having received the ARV group with ORadj = 2.59 (95 % CI = 2.09-3.22). The patients who had been diagnosed with HIV infection during 1990-1995 and 1996-2000 had less chance of TB infection than those who were diagnosed from 2006-2010, with ORadj = 0.04 (95 % CI = 0.01-0.14) and 0.11 (95 % CI = 0.07-0.17), respectively. Regarding life status; females had a better chance of being still alive at the date of data collection than being males with ORadj = 1.41 (95 % CI = 1.19-1.66). Those who had a defined route of transmission in the category of mother-to-child and IDU had a better chance of being still alive compared to those who contracted HIV from sexual intercourse, with ORadj = 2.05 (95 % CI = 1.56-2.18), and ORadj = 8.45 (95 % CI = 1.55-46.13), respectively. Conclusions: Thailand needs to create a TB and HIV/AIDS surveillance system for Hill-tribe populations to determine the situation and trend and to develop an appropriate model for providing care at the earlier stage of HIV/AIDS infection to prevent later TB infection.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [1];
Q6 = [1]. | abs02914 | 10.1186/s12879-016-1407-4 | A 20-year retrospective cohort study of TB infection among the Hill-tribe HIV/AIDS populations, Thailand | Background: A retrospective cohort study was conducted to determine the situation, trend, and factors associated with TB infection, and factors related to the life status among the HIV/AIDS Hill-tribe in Northern Thailand. Hill-tribe people have been migrating to and formed settlements along the Thai border areas for many decades. There are now having 1.6 million people of 6 different groups Akha, Lahu, Lisu, Hmong, Yao and Keren each with a specific culture, language and lifestyle. The Hill-tribe becomes a new vulnerable of HIV and TB infections in Thailand. Methods: A systematic data-reviewing approach was used to identify the information from the rosters of ARV clinics, OPD cards, and laboratory reports from 16 hospitals in Chiang Rai Province, Thailand. The data were collected from the first reported HIV/AIDS case of the Hill-tribe to the end of 2010. A chi-square test and logistic regression models were used to identify associations at the significance level of alpha = 0.05. Results: A total of 3,130 cases were included in the study. The majority of patients were Akha (46.0 %) followed by Lahu (19.7 %), 54.6 % were males, 44.6 % were 26-35 years old. The major risk factor of HIV infection was sexual intercourse (93.1 %); 23.9 % were still alive at the date of data collection, 30.7 % were diagnosed with pulmonary TB. The Akha Hill-tribe HIV/AIDS individuals had a greater chance of TB infection than did Yao individuals with ORadj = 1.50 (95 % CI = 1.01-1.92). Females had a greater chance of TB infection than males with ORadj = 1.33 (95 % CI = 1.11-1.59); being classified as HIV and AIDS groups had a greater chance of TB infection than those asymptomatic group with ORadj = 11.59 (95 % CI = 7.19-18.71), and ORadj = 1.71 (95 % CI = 1.03-2.87); and not having received the ARV group had a greater chance of TB infection than those who having received the ARV group with ORadj = 2.59 (95 % CI = 2.09-3.22). The patients who had been diagnosed with HIV infection during 1990-1995 and 1996-2000 had less chance of TB infection than those who were diagnosed from 2006-2010, with ORadj = 0.04 (95 % CI = 0.01-0.14) and 0.11 (95 % CI = 0.07-0.17), respectively. Regarding life status; females had a better chance of being still alive at the date of data collection than being males with ORadj = 1.41 (95 % CI = 1.19-1.66). Those who had a defined route of transmission in the category of mother-to-child and IDU had a better chance of being still alive compared to those who contracted HIV from sexual intercourse, with ORadj = 2.05 (95 % CI = 1.56-2.18), and ORadj = 8.45 (95 % CI = 1.55-46.13), respectively. Conclusions: Thailand needs to create a TB and HIV/AIDS surveillance system for Hill-tribe populations to determine the situation and trend and to develop an appropriate model for providing care at the earlier stage of HIV/AIDS infection to prevent later TB infection. |
<|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:"CIVILIAN LIFE IN CHOSON DURING THE JAPANESE INVASION OF 1592: THE NAMHAENG ILLOK AND IMJIN ILLOK IN SWAEMIROKBY O HUIMUN."
Abstract:"This article examines Narnhaeng illok (Record of a journey to the south) and Imjin illok (Record of the year 1592), covering the end of the lunar year 1591 and the whole of the lunar year 1592 respectively. These two works comprise a small part of the extensive diary entitled Swaemirok (A refugee's record), written by the yangban refugee, O Huimun (1539-1613. The complete diary was kept during a ten-year period from 1591 just before the first Japanese invasion of 1592 until 1601 four years after the second invasion of 1597. It provides a daily record of the struggle for survival of a refugee yangban and his family during the war years as they evaded death or capture at the hands of the invading Japanese troops. The value of this diary rests not only in its rare accounts of the unfolding of the war from a civilian point of view, but also for the many insights it provides into the life of the Korean people during the war years. Not surprisingly, a preliminary reading reveals the overwhelming importance of filial piety, family relationships, and the reverence for ancestors demonstrated by the yangban class even during periods of extreme crisis, as well as the importance of mutual economic support among its members. This article, therefore, contributes to a deeper understanding of the economic and social conditions that prevailed in Choson Korea at the end of the sixteenth century.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
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Q5 = [];
Q6 = [0]. | abs16377 | gen.2009.90786539 | CIVILIAN LIFE IN CHOSON DURING THE JAPANESE INVASION OF 1592: THE NAMHAENG ILLOK AND IMJIN ILLOK IN SWAEMIROKBY O HUIMUN | This article examines Narnhaeng illok (Record of a journey to the south) and Imjin illok (Record of the year 1592), covering the end of the lunar year 1591 and the whole of the lunar year 1592 respectively. These two works comprise a small part of the extensive diary entitled Swaemirok (A refugee's record), written by the yangban refugee, O Huimun (1539-1613. The complete diary was kept during a ten-year period from 1591 just before the first Japanese invasion of 1592 until 1601 four years after the second invasion of 1597. It provides a daily record of the struggle for survival of a refugee yangban and his family during the war years as they evaded death or capture at the hands of the invading Japanese troops. The value of this diary rests not only in its rare accounts of the unfolding of the war from a civilian point of view, but also for the many insights it provides into the life of the Korean people during the war years. Not surprisingly, a preliminary reading reveals the overwhelming importance of filial piety, family relationships, and the reverence for ancestors demonstrated by the yangban class even during periods of extreme crisis, as well as the importance of mutual economic support among its members. This article, therefore, contributes to a deeper understanding of the economic and social conditions that prevailed in Choson Korea at the end of the sixteenth century. |
<|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:"Resident connection to nature and attitudes towards tourism: findings from three different rural nature tourism destinations in Poland."
Abstract:"Despite the growing literature arguing for the consideration of community perspectives in tourism destination governance, little is understood about how residents' connection to nature affects their perceptions of and responses to tourism. This is especially relevant for rural areas rich in nature as many of them have become refugees for urban dwellers seeking recreation during the COVID-19 pandemic. This study combines the Nature's Contributions to People framework and Weber's Theory of Formal and Substantive Rationality to shed light on how rural residents of three nature-based tourism destinations connect with nature and how this connection to nature affects perceptions of empowerment from tourism and ultimately support for tourism. Results provide credence to the importance of including measures of residents' connections to nature when examining attitudes towards tourism in nature areas with connections to nature having significant and positive influences on psychological empowerment and social empowerment at all three destinations and direct and positive effects on support for tourism across two of the three destinations. Furthermore, results suggest that understanding the role nature connection plays in how residents perceive changes within their community can help manage locally emerging conflicts within rural tourism-dependent communities.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [1];
Q6 = [1]. | abs09629 | 10.1080/09669582.2021.1995399 | Resident connection to nature and attitudes towards tourism: findings from three different rural nature tourism destinations in Poland | Despite the growing literature arguing for the consideration of community perspectives in tourism destination governance, little is understood about how residents' connection to nature affects their perceptions of and responses to tourism. This is especially relevant for rural areas rich in nature as many of them have become refugees for urban dwellers seeking recreation during the COVID-19 pandemic. This study combines the Nature's Contributions to People framework and Weber's Theory of Formal and Substantive Rationality to shed light on how rural residents of three nature-based tourism destinations connect with nature and how this connection to nature affects perceptions of empowerment from tourism and ultimately support for tourism. Results provide credence to the importance of including measures of residents' connections to nature when examining attitudes towards tourism in nature areas with connections to nature having significant and positive influences on psychological empowerment and social empowerment at all three destinations and direct and positive effects on support for tourism across two of the three destinations. Furthermore, results suggest that understanding the role nature connection plays in how residents perceive changes within their community can help manage locally emerging conflicts within rural tourism-dependent communities. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Border Justice: Migration and Accountability for Human Rights Violations."
Abstract:"This introductory Article sets out the premise of the Special Issue, the entrenched and pervasive nature of human rights violations in the context of migration control and the apparent lack of accountability for such violations. It sets out features of contemporary migration control practices and their legal governance that contribute to this phenomenon, namely the exceptional treatment of migration in international law; the limited scope of international refugee law; and the pervasive use of externalized, delegated migration controls, in particular by the EU and its Member States. The roots of the current condition are traced back to the containment practices that emerged at the end of the Cold War, with the 2015 crisis framed both as an illustration of the failures of containment, and a source of further stasis. Following an overview of the contributions that make up the Special Issue, this Article identifies five emergent themes, and suggests further lines of inquiry. These are: the promise and limits of strategic human rights limitations; the role of both international criminal law, and domestic (and regional) tort law in securing accountability; the turn to positive obligations to challenge entrenched features of containment; and the role of direct action in support of and solidarity with those challenging migration controls most directly, refugees and migrants themselves. Rather than offering panaceas, the Article concludes with the identification of further new challenges, notably the role of new technologies in further dissipating lines of accountability for decisions to exclude.."
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 = [5,6,4];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs11771 | 10.1017/glj.2020.27 | Border Justice: Migration and Accountability for Human Rights Violations | This introductory Article sets out the premise of the Special Issue, the entrenched and pervasive nature of human rights violations in the context of migration control and the apparent lack of accountability for such violations. It sets out features of contemporary migration control practices and their legal governance that contribute to this phenomenon, namely the exceptional treatment of migration in international law; the limited scope of international refugee law; and the pervasive use of externalized, delegated migration controls, in particular by the EU and its Member States. The roots of the current condition are traced back to the containment practices that emerged at the end of the Cold War, with the 2015 crisis framed both as an illustration of the failures of containment, and a source of further stasis. Following an overview of the contributions that make up the Special Issue, this Article identifies five emergent themes, and suggests further lines of inquiry. These are: the promise and limits of strategic human rights limitations; the role of both international criminal law, and domestic (and regional) tort law in securing accountability; the turn to positive obligations to challenge entrenched features of containment; and the role of direct action in support of and solidarity with those challenging migration controls most directly, refugees and migrants themselves. Rather than offering panaceas, the Article concludes with the identification of further new challenges, notably the role of new technologies in further dissipating lines of accountability for decisions to exclude. |
<|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:"Climatic change around the 4.2 ka event in coastal areas of the East China Sea and its potential influence on prehistoric Japanese people."
Abstract:"Climate change during the Holocene is thought to have had a significant impact on human migration and development. In Japan, the earliest prehistoric culture based on hunting and gathering began about 16,000 years ago (the Jomon era). At least 3000 years ago, people with paddy rice cultivation skills started to migrate from mainland China, causing an explosion of population growth, lifestyle changes, and changes to the level of civilisation (Yayoi era). To clarify the climatic changes that potentially led to the movement of the Yayoi people to Japan, we analysed the palaeotemperature changes recorded in coastal marine sediment cores obtained from the Zhejiang coast in China, where the first paddy rice cultivation occurred, and northern Kyushu Island, where it was introduced to Japan. The reconstructed temperature fluctuations over the past 7000 years from both sites were similar on the scale of hundreds to thousands of years. The cold periods that occurred approximately 300 and 4200 years ago, which are related to the Little Ice Age and 4.2 ka events, respectively, may have been caused by modulations of the East Asian summer monsoon. Our study suggests that enhanced coastal upwelling may have amplified the cold climate of the 4.2 ka event on the Zhejiang coast. Our results support the recently proposed hypothesis that climate change prompted the collapse of the Yangtze civilisation and the migration of paddy rice farmers to other parts of Asia, including Japan. In contrast, the Jomon people, who still survived mainly based on hunting and gathering at that time, might have avoided a major population collapse.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [1,2];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [1]. | abs06951 | 10.1016/j.palaeo.2022.111310 | Climatic change around the 4.2 ka event in coastal areas of the East China Sea and its potential influence on prehistoric Japanese people | Climate change during the Holocene is thought to have had a significant impact on human migration and development. In Japan, the earliest prehistoric culture based on hunting and gathering began about 16,000 years ago (the Jomon era). At least 3000 years ago, people with paddy rice cultivation skills started to migrate from mainland China, causing an explosion of population growth, lifestyle changes, and changes to the level of civilisation (Yayoi era). To clarify the climatic changes that potentially led to the movement of the Yayoi people to Japan, we analysed the palaeotemperature changes recorded in coastal marine sediment cores obtained from the Zhejiang coast in China, where the first paddy rice cultivation occurred, and northern Kyushu Island, where it was introduced to Japan. The reconstructed temperature fluctuations over the past 7000 years from both sites were similar on the scale of hundreds to thousands of years. The cold periods that occurred approximately 300 and 4200 years ago, which are related to the Little Ice Age and 4.2 ka events, respectively, may have been caused by modulations of the East Asian summer monsoon. Our study suggests that enhanced coastal upwelling may have amplified the cold climate of the 4.2 ka event on the Zhejiang coast. Our results support the recently proposed hypothesis that climate change prompted the collapse of the Yangtze civilisation and the migration of paddy rice farmers to other parts of Asia, including Japan. In contrast, the Jomon people, who still survived mainly based on hunting and gathering at that time, might have avoided a major population collapse. |
<|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 drought during the Hunnic incursions into central-east Europe in the 4th and 5th c. CE."
Abstract:"The Hunnic incursions into eastern and central Europe in the 4th and 5th c. CE have historically been considered one of the key factors in bringing the Roman Empire to an end. However, both the origins of the Huns and their impact on the late Roman provinces remain poorly understood. Here we provide a new, combined assessment of the archaeological, historical, and environmental evidence. Hunnic raids and warfare within the Roman provinces are most intensely attested for the first half of the 5th c. We propose that severe drought spells in the 430s to 450s CE disrupted the economic organization of the incomers and local provincial populations, requiring both to adopt strategies to buffer against economic challenges. We argue that the Huns' apparently inexplicable violence may have been one strategy for coping with climatic extremes within a wider context of the social and economic changes that occurred at the time.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [2,3,4];
Q3 = [];
Q4 = [7];
Q5 = [];
Q6 = [0]. | abs06443 | 10.1017/S1047759422000332 | The role of drought during the Hunnic incursions into central-east Europe in the 4th and 5th c. CE | The Hunnic incursions into eastern and central Europe in the 4th and 5th c. CE have historically been considered one of the key factors in bringing the Roman Empire to an end. However, both the origins of the Huns and their impact on the late Roman provinces remain poorly understood. Here we provide a new, combined assessment of the archaeological, historical, and environmental evidence. Hunnic raids and warfare within the Roman provinces are most intensely attested for the first half of the 5th c. We propose that severe drought spells in the 430s to 450s CE disrupted the economic organization of the incomers and local provincial populations, requiring both to adopt strategies to buffer against economic challenges. We argue that the Huns' apparently inexplicable violence may have been one strategy for coping with climatic extremes within a wider context of the social and economic changes that occurred at the time. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"FAMILY SEPARATION: THE POLICIES, PROCEDURES, AND CONSEQUENCES FOR REFUGEE BACKGROUND FAMILIES."
Abstract:"Family is the social unit fundamental to human flourishing. An almost universal consequence of refugee experiences is the destruction of the family unit. What is more, the nation States to which refugee families resettle, act to reconfigure, and separate family members through restrictive immigration policies. This article explores the mismatch between the conception of family from the perspective of people with refugee backgrounds and the policies of the Australian Government. In light of these findings, it presents the broad principles that should guide humanitarian resettlement and family reunion policies.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
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Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5,7];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [0]. | abs16104 | 10.1093/rsq/hdq045 | FAMILY SEPARATION: THE POLICIES, PROCEDURES, AND CONSEQUENCES FOR REFUGEE BACKGROUND FAMILIES | Family is the social unit fundamental to human flourishing. An almost universal consequence of refugee experiences is the destruction of the family unit. What is more, the nation States to which refugee families resettle, act to reconfigure, and separate family members through restrictive immigration policies. This article explores the mismatch between the conception of family from the perspective of people with refugee backgrounds and the policies of the Australian Government. In light of these findings, it presents the broad principles that should guide humanitarian resettlement and family reunion policies. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Undocumented adult migrants in Sweden: mental health and associated factors."
Abstract:"BackgroundUndocumented migrants (UMs) in Europe constitute a heterogeneous group. They are typically in a vulnerable and marginalised situation, since most of them have exhausted their options for gaining asylum and protection from war and persecution, many are traumatised and fear disclosure and deportation, and they typically lack basic social security. The present study investigates living conditions, access to human rights and mental health of UMs living in Sweden.MethodsA cross-sectional study with adult UMs was performed in the three largest cities in Sweden in 2014-2016. Sampling was done via informal networks. A socioeconomic questionnaire was constructed, and psychiatric symptoms were screened for using Beck's Depression Inventory II, Beck's Anxiety Inventory and the PTSD Checklist (PCL) for civilians. Trained field workers conducted the interviews. Descriptive statistics, chi-square tests and logistic regression models were used.ResultsA total number of 104 individuals participated. Preliminary findings show that 68% of respondents were suffering from either moderate or severe anxiety, 71% from either moderate or severe depression and 58% from PTSD. No statistically significant gender differences occurred, but age was statistically significant in relation to anxiety anddepression. The majority feared returning to their country of origin, for political reasons, due to war in progress there and/or because they belonged to a minority and feared harassment. Almost all had an unstable housing situation and were often forced to move. Fifty-seven percent experienced food insecurity.ConclusionThe psychosocial situation among UMs in Sweden, in addition to insecure living conditions without a guarantee of basic needs being met is stressful, and many UMs live in constant fear of disclosure and deportation, all of which has a detrimental effect of the mental health. It is important to understand both associated risk factors for ill-health and coping strategies in this vulnerable population in order try to reduce ongoing stress.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [5,6];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs12835 | 10.1186/s12889-018-6294-8 | Undocumented adult migrants in Sweden: mental health and associated factors | BackgroundUndocumented migrants (UMs) in Europe constitute a heterogeneous group. They are typically in a vulnerable and marginalised situation, since most of them have exhausted their options for gaining asylum and protection from war and persecution, many are traumatised and fear disclosure and deportation, and they typically lack basic social security. The present study investigates living conditions, access to human rights and mental health of UMs living in Sweden.MethodsA cross-sectional study with adult UMs was performed in the three largest cities in Sweden in 2014-2016. Sampling was done via informal networks. A socioeconomic questionnaire was constructed, and psychiatric symptoms were screened for using Beck's Depression Inventory II, Beck's Anxiety Inventory and the PTSD Checklist (PCL) for civilians. Trained field workers conducted the interviews. Descriptive statistics, chi-square tests and logistic regression models were used.ResultsA total number of 104 individuals participated. Preliminary findings show that 68% of respondents were suffering from either moderate or severe anxiety, 71% from either moderate or severe depression and 58% from PTSD. No statistically significant gender differences occurred, but age was statistically significant in relation to anxiety anddepression. The majority feared returning to their country of origin, for political reasons, due to war in progress there and/or because they belonged to a minority and feared harassment. Almost all had an unstable housing situation and were often forced to move. Fifty-seven percent experienced food insecurity.ConclusionThe psychosocial situation among UMs in Sweden, in addition to insecure living conditions without a guarantee of basic needs being met is stressful, and many UMs live in constant fear of disclosure and deportation, all of which has a detrimental effect of the mental health. It is important to understand both associated risk factors for ill-health and coping strategies in this vulnerable population in order try to reduce ongoing stress. |
<|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 Eritrean Military/National Service Programme: Slavery and the Notion of Persecution in Refugee Status Determination."
Abstract:"Despite the overwhelming evidence of human rights violations within the Eritrean Military/National Service Programme (MNSP), adjudication of asylum applications made by Eritreans remains a challenge. Narrow interpretations of slavery have created obstacles for protection under the 1951 Convention Relating to the Status of Refugees (1951 Refugee Convention). This article discusses MST and Others, the latest Country Guidance case on Eritrea issued by the UK Upper Tribunal Immigration and Asylum Chamber (UTIAC), and also the lead case E-5022/2017 of the Swiss Federal Administrative Court (FAC), which to a large extent replicated the UTIAC's approach. The article focuses on how slavery, servitude and forced labour under article 4 of the European Convention on Human Rights (ECHR) have been interpreted in the British and Swiss case-law. While both, the British and the Swiss Courts, had recourse to the European Court of Human Rights' (ECtHR) interpretation of article 4(1) ECHR (the right not to be subjected to slavery or servitude), they refused the applicability of international criminal law notions to this provision, and thus to the concept of persecution in article 1A(2) of the 1951 Refugee Convention. In doing so, the UTIAC and the FAC set unreasonable requirements to satisfy article 4(1) ECHR. Due to the very limited case-law pertaining to slavery by the ECtHR, the ECHR does not offer an appropriate framework for examining asylum applications of victims of slavery. It is therefore suggested that slavery cases are considered against a wider legal framework, which involves the examination of concepts developed by international criminal law (ICL). ICL has indeed developed a significant body of jurisprudence on the interpretation of the international law concept of slavery and its application to contemporary situations. The article contrasts the British and Swiss Courts' position to develop an interpretative approach that connects different areas of international law, including not only international refugee law and international human rights law (IHRL), but also ICL. If applied in line with the principle of systemic integration and according to the overall purposes of the 1951 Refugee Convention, this approach would yield consistent results. Ultimately, this article seeks to assist asylum decision-makers and practitioners in the interpretation and application of the refugee definition to asylum applications of persons from Eritrea.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [5,6];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs05786 | 10.3390/laws10020028 | The Eritrean Military/National Service Programme: Slavery and the Notion of Persecution in Refugee Status Determination | Despite the overwhelming evidence of human rights violations within the Eritrean Military/National Service Programme (MNSP), adjudication of asylum applications made by Eritreans remains a challenge. Narrow interpretations of slavery have created obstacles for protection under the 1951 Convention Relating to the Status of Refugees (1951 Refugee Convention). This article discusses MST and Others, the latest Country Guidance case on Eritrea issued by the UK Upper Tribunal Immigration and Asylum Chamber (UTIAC), and also the lead case E-5022/2017 of the Swiss Federal Administrative Court (FAC), which to a large extent replicated the UTIAC's approach. The article focuses on how slavery, servitude and forced labour under article 4 of the European Convention on Human Rights (ECHR) have been interpreted in the British and Swiss case-law. While both, the British and the Swiss Courts, had recourse to the European Court of Human Rights' (ECtHR) interpretation of article 4(1) ECHR (the right not to be subjected to slavery or servitude), they refused the applicability of international criminal law notions to this provision, and thus to the concept of persecution in article 1A(2) of the 1951 Refugee Convention. In doing so, the UTIAC and the FAC set unreasonable requirements to satisfy article 4(1) ECHR. Due to the very limited case-law pertaining to slavery by the ECtHR, the ECHR does not offer an appropriate framework for examining asylum applications of victims of slavery. It is therefore suggested that slavery cases are considered against a wider legal framework, which involves the examination of concepts developed by international criminal law (ICL). ICL has indeed developed a significant body of jurisprudence on the interpretation of the international law concept of slavery and its application to contemporary situations. The article contrasts the British and Swiss Courts' position to develop an interpretative approach that connects different areas of international law, including not only international refugee law and international human rights law (IHRL), but also ICL. If applied in line with the principle of systemic integration and according to the overall purposes of the 1951 Refugee Convention, this approach would yield consistent results. Ultimately, this article seeks to assist asylum decision-makers and practitioners in the interpretation and application of the refugee definition to asylum applications of persons from Eritrea. |
<|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:"On Genuine and Illegitimate Refugees: New Boundaries Drawn by Discriminatory Legislation and Practice in the Field of Humanitarian Reception in Germany."
Abstract:"A high number of legal changes accompanied the increase of people seeking asylum in Germany throughout the 18th legislative period from 2013-2017. These changes have transformed the field of humanitarian reception in Germany, especially along the axes of citizenship, integration performance and deviation from administrative and legal rules. Half of the legal measures from this period have led to differential rights for different groups of asylum seekers according to one of these three axes. The axis of citizenship has also structured the development of administrative procedures referred to as integrated refugee management which was established to speed up asylum seeking processes, classifying persons applying for a humanitarian residence visa in Germany into four clusters. This categorization, too, led to different entitlements regarding the admittance to state-financed German courses and integration measures focussed on education and the labour market. In this article I employ the notion of differential inclusion (Mezzadra & Neilson, 2012) to analyze these legal and administrative changes. I show that they have reshaped the substructures impacting the lives of those categorized as genuine and illegitimate refugees and thus redrawn the boundaries and created hierarchies among those seeking humanitarian protection in Germany.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5];
Q3 = [1];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs07185 | 10.17645/si.v6i3.1506 | On Genuine and Illegitimate Refugees: New Boundaries Drawn by Discriminatory Legislation and Practice in the Field of Humanitarian Reception in Germany | A high number of legal changes accompanied the increase of people seeking asylum in Germany throughout the 18th legislative period from 2013-2017. These changes have transformed the field of humanitarian reception in Germany, especially along the axes of citizenship, integration performance and deviation from administrative and legal rules. Half of the legal measures from this period have led to differential rights for different groups of asylum seekers according to one of these three axes. The axis of citizenship has also structured the development of administrative procedures referred to as integrated refugee management which was established to speed up asylum seeking processes, classifying persons applying for a humanitarian residence visa in Germany into four clusters. This categorization, too, led to different entitlements regarding the admittance to state-financed German courses and integration measures focussed on education and the labour market. In this article I employ the notion of differential inclusion (Mezzadra & Neilson, 2012) to analyze these legal and administrative changes. I show that they have reshaped the substructures impacting the lives of those categorized as genuine and illegitimate refugees and thus redrawn the boundaries and created hierarchies among those seeking humanitarian protection in Germany. |
<|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 'chorus of execration'? Enoch Powell's 'rivers of blood' forty years on."
Abstract:"Enoch Powell's 'rivers of blood' speech, delivered forty years ago, in April 1968, had a significant impact on British politics. Commentators are divided between those who have defended Powell's remarks and those who have condemned them. Hillman evaluates the responses, and reassesses the speech. He focuses on five key issues: Powell's motives; whether the speech was racist and/or racialist; the relationship between the speech and Conservative Party policies; Powell's electoral impact; and his forecasts with regard to numbers of people with minority ethnic backgrounds within the population.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [0]. | abs04435 | 10.1080/00313220701805927 | A 'chorus of execration'? Enoch Powell's 'rivers of blood' forty years on | Enoch Powell's 'rivers of blood' speech, delivered forty years ago, in April 1968, had a significant impact on British politics. Commentators are divided between those who have defended Powell's remarks and those who have condemned them. Hillman evaluates the responses, and reassesses the speech. He focuses on five key issues: Powell's motives; whether the speech was racist and/or racialist; the relationship between the speech and Conservative Party policies; Powell's electoral impact; and his forecasts with regard to numbers of people with minority ethnic backgrounds within the 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:"ACTION, FREEDOM, AND EDUCATION: REFUGEES AND A NEW BEGINNING."
Abstract:"In the mid-2000s, large numbers of refugees from North Africa and the Middle East sought to reach Europe to escape persecution, war, and famine. Images of children, women, and men in inhumane conditions attempting to reach themainland began to circulate worldwide. This phenomenon culminated in 2015 with the worst immigration crisis in Europe since the end of World War II. In this study, Vasco d'Agnese draws on Hannah Arendt's work to demonstrate that refugees, in embarking on their often excruciating journeys, represent the paradigm of acting, natality, and a new beginning, features that, for Arendt, characterize the human experience. Starting from this premise, d'Agnese presents two refugee stories and attempts to foreground their intrinsically educational nature with two aims. The first is that engaging with these stories may help transform the traditional view of refugees as vulnerable, suffering, and needy, and instead promote a view that acknowledges refugees' actions, their agency, and that does justice to the strength, determination, and resiliency they demonstrate in taking the actions they do. The second aim is to show how the renewal of natality represented by such stories serves as a foundation for a different engagement with education. If, as Arendt argues, education is first and foremost about preserving natality, the renewal of natality seen in these refugee stories is one of the best educational examples we may find. In refugee stories, the natality of education is, in a profound sense, actualized.."
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]. | abs11536 | gen.2020.39966162 | ACTION, FREEDOM, AND EDUCATION: REFUGEES AND A NEW BEGINNING | In the mid-2000s, large numbers of refugees from North Africa and the Middle East sought to reach Europe to escape persecution, war, and famine. Images of children, women, and men in inhumane conditions attempting to reach themainland began to circulate worldwide. This phenomenon culminated in 2015 with the worst immigration crisis in Europe since the end of World War II. In this study, Vasco d'Agnese draws on Hannah Arendt's work to demonstrate that refugees, in embarking on their often excruciating journeys, represent the paradigm of acting, natality, and a new beginning, features that, for Arendt, characterize the human experience. Starting from this premise, d'Agnese presents two refugee stories and attempts to foreground their intrinsically educational nature with two aims. The first is that engaging with these stories may help transform the traditional view of refugees as vulnerable, suffering, and needy, and instead promote a view that acknowledges refugees' actions, their agency, and that does justice to the strength, determination, and resiliency they demonstrate in taking the actions they do. The second aim is to show how the renewal of natality represented by such stories serves as a foundation for a different engagement with education. If, as Arendt argues, education is first and foremost about preserving natality, the renewal of natality seen in these refugee stories is one of the best educational examples we may find. In refugee stories, the natality of education is, in a profound sense, actualized. |
<|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:"'I remember little. Almost nothing'. Participatory theatre as a means to access subjugated memories."
Abstract:"The article presents and discusses the interdisciplinary, collaborative and participatory research project Bie(z) over dotenki. Thematically, the project is devoted to the history of the so-called bie(z) over dotenstwo - a migration of people from eastern Poland during the First World War, forced by the retreating Russian Army, when the Germans broke through the eastern frontline in 1915. The stories of those refugees, among whom were a number of Rus' peasants, and within that group, women with children (the term bie(z) over dotenki signifies female war refugees), make up a crucial part of the regional history that has been largely absent from public knowledge and historical discourse. Methodologically, the project is based on participatory theatre that engages non-artists both as content providers, and on-stage performers. Theatrical practice has been used to collect the marginalised memories of bie(z) over dotenstwo (as they are often kept and transmitted within family circles), and present them to the wider public in the form of theatrical performance. The project has also resulted in a theoretical concept of the assemblage of memory, inspired by and grounded in the creative process, which is briefly sketched out at the end of the article.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs11103 | 10.1177/1750698020982047 | 'I remember little. Almost nothing'. Participatory theatre as a means to access subjugated memories | The article presents and discusses the interdisciplinary, collaborative and participatory research project Bie(z) over dotenki. Thematically, the project is devoted to the history of the so-called bie(z) over dotenstwo - a migration of people from eastern Poland during the First World War, forced by the retreating Russian Army, when the Germans broke through the eastern frontline in 1915. The stories of those refugees, among whom were a number of Rus' peasants, and within that group, women with children (the term bie(z) over dotenki signifies female war refugees), make up a crucial part of the regional history that has been largely absent from public knowledge and historical discourse. Methodologically, the project is based on participatory theatre that engages non-artists both as content providers, and on-stage performers. Theatrical practice has been used to collect the marginalised memories of bie(z) over dotenstwo (as they are often kept and transmitted within family circles), and present them to the wider public in the form of theatrical performance. The project has also resulted in a theoretical concept of the assemblage of memory, inspired by and grounded in the creative process, which is briefly sketched out at the end of the article. |
<|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:"Monitoring SARS-CoV-2 in the Wastewater and Rivers of Tapachula, a Migratory Hub in Southern Mexico."
Abstract:"The COVID-19 pandemic has been monitored by applying different strategies, including SARS-CoV-2 detection with clinical testing or through wastewater-based epidemiology (WBE). We used the latter approach to follow SARS-CoV-2 dispersion in Tapachula city, located in Mexico's tropical southern border region. Tapachula is a dynamic entry point for people seeking asylum in Mexico or traveling to the USA. Clinical testing facilities for SARS-CoV-2 monitoring are limited in the city. A total of eighty water samples were collected from urban and suburban rivers and sewage and a wastewater treatment plant over 4 months in Tapachula. We concentrated viral particles with a PEG-8000-based method, performed RNA extraction, and detected SARS-CoV-2 particles through RT-PCR. We considered the pepper mild mottle virus as a fecal water pollution biomarker and analytical control. SARS-CoV-2 viral loads (N1 and N2 markers) were quantified and correlated with official regional statistics of COVID-19 bed occupancy and confirmed cases (r > 91%). Our results concluded that WBE proved a valuable tool for tracing and tracking the COVID-19 pandemic in tropical countries with similar water temperatures (21-29 degrees C). Monitoring SARS-CoV-2 through urban and suburban river water sampling would be helpful in places lacking a wastewater treatment plant or water bodies with sewage discharges.."
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]. | abs09102 | 10.1007/s12560-022-09523-2 | Monitoring SARS-CoV-2 in the Wastewater and Rivers of Tapachula, a Migratory Hub in Southern Mexico | The COVID-19 pandemic has been monitored by applying different strategies, including SARS-CoV-2 detection with clinical testing or through wastewater-based epidemiology (WBE). We used the latter approach to follow SARS-CoV-2 dispersion in Tapachula city, located in Mexico's tropical southern border region. Tapachula is a dynamic entry point for people seeking asylum in Mexico or traveling to the USA. Clinical testing facilities for SARS-CoV-2 monitoring are limited in the city. A total of eighty water samples were collected from urban and suburban rivers and sewage and a wastewater treatment plant over 4 months in Tapachula. We concentrated viral particles with a PEG-8000-based method, performed RNA extraction, and detected SARS-CoV-2 particles through RT-PCR. We considered the pepper mild mottle virus as a fecal water pollution biomarker and analytical control. SARS-CoV-2 viral loads (N1 and N2 markers) were quantified and correlated with official regional statistics of COVID-19 bed occupancy and confirmed cases (r > 91%). Our results concluded that WBE proved a valuable tool for tracing and tracking the COVID-19 pandemic in tropical countries with similar water temperatures (21-29 degrees C). Monitoring SARS-CoV-2 through urban and suburban river water sampling would be helpful in places lacking a wastewater treatment plant or water bodies with sewage discharges. |
<|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 heavy burden of democracy: Where is salvation? Democracy between perspective and prohibited."
Abstract:"This report seeks to discuss the threats to liberal democracy and explore how to devise a new path towards democratic transition and the challenges faced: civil war, sectarian and religious conflicts, ethnic and national tensions, international terrorism and regional wars, and societal violence. The impact on democratic transformation, especially the sense of threat, whether literal or theoretical, led to the tendency of demagogic towards a populist outlook in pluralistic societies, generating reactions across other societies suffering from external alienation and internal tyranny. The world is currently faced with the decline of the core values of the concept of democracy at the global level which has led us to the following questions: the principle of the rule of law, peaceful trading of power, human rights, the principles of equality and sovereignty. The populists attempt to exploit the ideas of the stereotypical, especially on hatred of the other, and the xenophobia against foreigners when faced with the wave of asylum and migration seekers, diminishing freedoms and citizenship rights, coupled with the rejection of economic globalization, to the implementation of a protectionist policy. Victories such as Brexit or Donald Trump's in the United States have brought forward scenes of fear and hatred of 'the other', encouraging intolerance and extremism. This led to a rise in policies against foreigners, migration, terrorism, Islam and protectionist economics. This report will look at a future beyond traditional democracy, discovering what the next stage in democracy will be, in terms of the survival of society, raising problematic questions: Is democracy, by virtue of their dynamics, able to respond to the changing realities, and whether it can renew itself and overcome some of its issues to invent new methods and literature?."
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]. | abs11754 | 10.1177/0191453720916905 | The heavy burden of democracy: Where is salvation? Democracy between perspective and prohibited | This report seeks to discuss the threats to liberal democracy and explore how to devise a new path towards democratic transition and the challenges faced: civil war, sectarian and religious conflicts, ethnic and national tensions, international terrorism and regional wars, and societal violence. The impact on democratic transformation, especially the sense of threat, whether literal or theoretical, led to the tendency of demagogic towards a populist outlook in pluralistic societies, generating reactions across other societies suffering from external alienation and internal tyranny. The world is currently faced with the decline of the core values of the concept of democracy at the global level which has led us to the following questions: the principle of the rule of law, peaceful trading of power, human rights, the principles of equality and sovereignty. The populists attempt to exploit the ideas of the stereotypical, especially on hatred of the other, and the xenophobia against foreigners when faced with the wave of asylum and migration seekers, diminishing freedoms and citizenship rights, coupled with the rejection of economic globalization, to the implementation of a protectionist policy. Victories such as Brexit or Donald Trump's in the United States have brought forward scenes of fear and hatred of 'the other', encouraging intolerance and extremism. This led to a rise in policies against foreigners, migration, terrorism, Islam and protectionist economics. This report will look at a future beyond traditional democracy, discovering what the next stage in democracy will be, in terms of the survival of society, raising problematic questions: Is democracy, by virtue of their dynamics, able to respond to the changing realities, and whether it can renew itself and overcome some of its issues to invent new methods and literature? |
<|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:"Historical Roots of Generalized Trust in Polish Society."
Abstract:"The article analyses how historical events shape generalized trust in contemporary Polish society. The analysis consists of a set of logistic regression models. The impact of historical variables is controlled for age, sex, education and the size of the municipality. This is the first quantitative study on Poland that links historical events with the current levels of trust among Polish citizens. The common knowledge is that the Partitions of Poland had negative impact on trust. Literature on the topic hints that historical demographics should play a role too. The findings suggest that Partitions had little impact with only Greater Poland and Pomerania having lower levels of generalized trust. Historical literacy rate and the presence of Ukrainian or Belarusian population are negatively associated with generalized trust while the abrupt migrations after the World War I are positively associated. The rapid character of migration is supposed to positively impact generalized trust by forcing individuals to cooperate and rely on people with whom they have no personal ties.."
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]. | abs03338 | 10.2478/ijme-2014-0046 | Historical Roots of Generalized Trust in Polish Society | The article analyses how historical events shape generalized trust in contemporary Polish society. The analysis consists of a set of logistic regression models. The impact of historical variables is controlled for age, sex, education and the size of the municipality. This is the first quantitative study on Poland that links historical events with the current levels of trust among Polish citizens. The common knowledge is that the Partitions of Poland had negative impact on trust. Literature on the topic hints that historical demographics should play a role too. The findings suggest that Partitions had little impact with only Greater Poland and Pomerania having lower levels of generalized trust. Historical literacy rate and the presence of Ukrainian or Belarusian population are negatively associated with generalized trust while the abrupt migrations after the World War I are positively associated. The rapid character of migration is supposed to positively impact generalized trust by forcing individuals to cooperate and rely on people with whom they have no personal ties. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"We All Bantu - We Have Each Other: Preservation of Social Capital Strengths during Forced Migration."
Abstract:"Somali Bantu began arriving with refugee status in the United States in 2003, moving into a foreign culture without familial connections to the community and without the financial resources and human capital skills needed to participate effectively in a US context. This resulted in significant challenges for the Bantu and local resettlement agencies. One form of capital they possess within their own communities is social capital. Social capital theories were used to examine to what degree Somali Bantu social capital changed across settings including Somalia, Kenyan refugee camps, and in one US city. Interviews with 11 members of the Somali Bantu community were analyzed in a qualitative study using constructivist grounded theory methods. The results reveal that Somali Bantu social support systems have in some ways remained intact but in other ways have been disrupted by constraints imposed by the environment they now live within. Few are able to bridge to the broader community and are relied on heavily to share their knowledge of American systems. Results provide an example of how social network patterns can influence participation in everyday occupations and how particular occupations based on prior social support systems can be modified to fit within new socio-cultural 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 = [4,6];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs15788 | 10.1080/14427591.2013.786647 | We All Bantu - We Have Each Other: Preservation of Social Capital Strengths during Forced Migration | Somali Bantu began arriving with refugee status in the United States in 2003, moving into a foreign culture without familial connections to the community and without the financial resources and human capital skills needed to participate effectively in a US context. This resulted in significant challenges for the Bantu and local resettlement agencies. One form of capital they possess within their own communities is social capital. Social capital theories were used to examine to what degree Somali Bantu social capital changed across settings including Somalia, Kenyan refugee camps, and in one US city. Interviews with 11 members of the Somali Bantu community were analyzed in a qualitative study using constructivist grounded theory methods. The results reveal that Somali Bantu social support systems have in some ways remained intact but in other ways have been disrupted by constraints imposed by the environment they now live within. Few are able to bridge to the broader community and are relied on heavily to share their knowledge of American systems. Results provide an example of how social network patterns can influence participation in everyday occupations and how particular occupations based on prior social support systems can be modified to fit within new socio-cultural 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:"Population Exchange and its Impact on Literacy, Occupation and Gender - Evidence from the Partition of India."
Abstract:"How do large scale, involuntary migrations and population exchanges affect sending and receiving communities? We examine the case of the partition of India in which approximately 17 million people moved within four years, resulting in one of the largest and most rapid population exchanges in human history. We find large effects due to the migration on a district's educational, occupational, and gender composition. Due to higher education levels amongst migrants, districts with 10 per cent greater inflows saw their literacy rates increase by 3 percentage points, while a 10 per cent increase in outflows reduced literacy by 1.2 percentage points. Due to disparities in the amount of land vacated by migrants, Indian districts with 10 per cent greater inflows saw a decline of 11 per centin agricultural occupations. Districts that experienced high inflows and outflows also experienced changes in gender composition. While the partition, driven along religious lines, increased religious homogenization within communities, our results suggest that this was accompanied by increased educational and occupational differences within religious groups. We conclude that these compositional effects, in addition to an aggregate population impact, are probably features of involuntary migrations and population exchanges and, as in the case of India, Pakistan, and Bangladesh, can have important long-term consequences.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [2];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs20397 | 10.1111/imig.12039 | Population Exchange and its Impact on Literacy, Occupation and Gender - Evidence from the Partition of India | How do large scale, involuntary migrations and population exchanges affect sending and receiving communities? We examine the case of the partition of India in which approximately 17 million people moved within four years, resulting in one of the largest and most rapid population exchanges in human history. We find large effects due to the migration on a district's educational, occupational, and gender composition. Due to higher education levels amongst migrants, districts with 10 per cent greater inflows saw their literacy rates increase by 3 percentage points, while a 10 per cent increase in outflows reduced literacy by 1.2 percentage points. Due to disparities in the amount of land vacated by migrants, Indian districts with 10 per cent greater inflows saw a decline of 11 per centin agricultural occupations. Districts that experienced high inflows and outflows also experienced changes in gender composition. While the partition, driven along religious lines, increased religious homogenization within communities, our results suggest that this was accompanied by increased educational and occupational differences within religious groups. We conclude that these compositional effects, in addition to an aggregate population impact, are probably features of involuntary migrations and population exchanges and, as in the case of India, Pakistan, and Bangladesh, can have important long-term consequences. |
<|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:"Adaptive capacity of small-scale coffee farmers to climate change impacts in the Soconusco region of Chiapas, Mexico."
Abstract:"This paper identifies conditions of social vulnerability and climate-related disaster risk in the Huehuetan River basin, Chiapas, Mexico and analyses the capacity of small coffee producers to adapt to hydrometeorological hazards. Small-scale farmers in the basin use various strategies to adapt to the impacts of such hazards and to confront the deterioration of their livelihoods, including diversifying the varieties of coffee they cultivate, diversifying their sources of income, and emigration. Analysis of these strategies suggests that high levels of poverty, coffee monoculture, food insecurity, and instability in sources of employment and income combine to limit the flexibility and stability of population's adaptive capacity. The strategies employed by local people have allowed for short-term subsistence but offer little chance of long-term sustainability. Conditions do not appear to reduce social vulnerability and, in fact, undermine local resilience that would reduce damage and risks from extreme climate events. The impacts of climate change are placing the region's small farmers in a very vulnerable situation from which it may be difficult to escape, without the implementation of social reform predicated on greater justice and social equality, which will require political will. This case illustrates the challenges that must be addressed in order to overcome the social inequalities that prevent small-farmer communities from reducing their vulnerability in the face of climate-(or non-climate-) related risks.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [1,2];
Q3 = [];
Q4 = [];
Q5 = [1];
Q6 = [0]. | abs03161 | 10.1080/17565529.2014.900472 | Adaptive capacity of small-scale coffee farmers to climate change impacts in the Soconusco region of Chiapas, Mexico | This paper identifies conditions of social vulnerability and climate-related disaster risk in the Huehuetan River basin, Chiapas, Mexico and analyses the capacity of small coffee producers to adapt to hydrometeorological hazards. Small-scale farmers in the basin use various strategies to adapt to the impacts of such hazards and to confront the deterioration of their livelihoods, including diversifying the varieties of coffee they cultivate, diversifying their sources of income, and emigration. Analysis of these strategies suggests that high levels of poverty, coffee monoculture, food insecurity, and instability in sources of employment and income combine to limit the flexibility and stability of population's adaptive capacity. The strategies employed by local people have allowed for short-term subsistence but offer little chance of long-term sustainability. Conditions do not appear to reduce social vulnerability and, in fact, undermine local resilience that would reduce damage and risks from extreme climate events. The impacts of climate change are placing the region's small farmers in a very vulnerable situation from which it may be difficult to escape, without the implementation of social reform predicated on greater justice and social equality, which will require political will. This case illustrates the challenges that must be addressed in order to overcome the social inequalities that prevent small-farmer communities from reducing their vulnerability in the face of climate-(or non-climate-) related risks. |
<|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:"Public Health Significance of Population Mobility and Change."
Abstract:"Population change occurs in 4 aspects: quantitative, qualitative, spatial, and temporal. Quantitatively we are faced with a national and worldwide population increase which in itself will necessitate considerable increase in public health facilities and personnel. Qualitatively, not only are people healthier and better educated, but there is a relative and absolute increase at both ends of the life span. This points to increase in maternal and child health needs and to the necessity of increasing attention to chronic diseases and preparation for advanced age to minimize senility and dependence in old age. Tremendous spatial changes with vast public health implications are occurring as a result of forced and voluntary migration, increasing urbanization and suburbanization. Finally, temporal changes, an ebb and flow of population, due to increased tourism and the increased use of migrant labor, give rise to still other public health problems. It is crucial that the numbers, types, training and distribution of public health personnel and services be re-evaluated carefully at this time if the problems of the near future are to be met adequately.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [0];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [0]. | abs20970 | 10.2105/AJPH.45.12.1558 | Public Health Significance of Population Mobility and Change | Population change occurs in 4 aspects: quantitative, qualitative, spatial, and temporal. Quantitatively we are faced with a national and worldwide population increase which in itself will necessitate considerable increase in public health facilities and personnel. Qualitatively, not only are people healthier and better educated, but there is a relative and absolute increase at both ends of the life span. This points to increase in maternal and child health needs and to the necessity of increasing attention to chronic diseases and preparation for advanced age to minimize senility and dependence in old age. Tremendous spatial changes with vast public health implications are occurring as a result of forced and voluntary migration, increasing urbanization and suburbanization. Finally, temporal changes, an ebb and flow of population, due to increased tourism and the increased use of migrant labor, give rise to still other public health problems. It is crucial that the numbers, types, training and distribution of public health personnel and services be re-evaluated carefully at this time if the problems of the near future are to be met adequately. |
<|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:"Displacement & Domesticity Since 1945: Refugees, Migrants and Expats Making Homes, Following the EAHN's Sixth Thematic Conference (Brussels, 27-28 March 2019)."
Abstract:"In the recent history of globalisation and mass human displacement, the practical and epistemological tools of architecture play a role in revealing the multi-faceted relationship between migration and home. The goal of the European Architectural History Network's sixth thematic conference was to illuminate and critically reflect on the conceptual role and socio-material expressions of domesticity employed in response to displacement in contemporary history, beginning with the year 1945. Many of the papers reflected a deep interest in the processes involved in thinking, building and preserving home as well as the growing importance of interdisciplinary and cross-cultural collaborations. Inspired by this, we seek to prompt ways, especially from within the architectural discipline and community, to conceive of alternative epistemological and heuristic frameworks for integrating interdisciplinary knowledge.."
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 = [0];
Q6 = [0]. | abs11562 | 10.5334/ah.517 | Displacement & Domesticity Since 1945: Refugees, Migrants and Expats Making Homes, Following the EAHN's Sixth Thematic Conference (Brussels, 27-28 March 2019) | In the recent history of globalisation and mass human displacement, the practical and epistemological tools of architecture play a role in revealing the multi-faceted relationship between migration and home. The goal of the European Architectural History Network's sixth thematic conference was to illuminate and critically reflect on the conceptual role and socio-material expressions of domesticity employed in response to displacement in contemporary history, beginning with the year 1945. Many of the papers reflected a deep interest in the processes involved in thinking, building and preserving home as well as the growing importance of interdisciplinary and cross-cultural collaborations. Inspired by this, we seek to prompt ways, especially from within the architectural discipline and community, to conceive of alternative epistemological and heuristic frameworks for integrating interdisciplinary knowledge. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Social Well-Being Among Colombian and Peruvian Immigrants in Northern Chile."
Abstract:"In recent years, northern Chile has received a large number of immigrants attracted mainly by mining and related services. The last population census revealed that 70.5 % of foreigners in Chile came from South America, and were mainly Peruvians (30.5 %), Argentines (16.8 %), and Colombians (8.1 %). The aim of this cross-sectional study is to describe the social well-being levels reported by Colombian and Peruvian immigrants in northern Chile, as well as their connection to socio-demographic and relational factors. The Spanish version of the Scale of Social Well-being (Keyes in Soc Psychol Q 61:121-140, 1998) was administered to 431 men and women over 18 years old, with a minimum residence of 6 months in the city of Antofagasta. The highest-rated aspect was Social Contribution, and the lowest-rated aspect was Social Acceptance. The relational variables that show statistically significant differences in both populations relate to who the subject lives with, the degree of contact that the subject has with people from Chile, and the subject's relationship status. There are no differences that indicate a higher level of social well-being in one population more than the other; however, it appears that the Peruvian population has a greater perception of Social Coherence, while Colombians show a greater perception of Social Contribution.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [3];
Q3 = [2];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs02533 | 10.1007/s10903-016-0416-0 | Social Well-Being Among Colombian and Peruvian Immigrants in Northern Chile | In recent years, northern Chile has received a large number of immigrants attracted mainly by mining and related services. The last population census revealed that 70.5 % of foreigners in Chile came from South America, and were mainly Peruvians (30.5 %), Argentines (16.8 %), and Colombians (8.1 %). The aim of this cross-sectional study is to describe the social well-being levels reported by Colombian and Peruvian immigrants in northern Chile, as well as their connection to socio-demographic and relational factors. The Spanish version of the Scale of Social Well-being (Keyes in Soc Psychol Q 61:121-140, 1998) was administered to 431 men and women over 18 years old, with a minimum residence of 6 months in the city of Antofagasta. The highest-rated aspect was Social Contribution, and the lowest-rated aspect was Social Acceptance. The relational variables that show statistically significant differences in both populations relate to who the subject lives with, the degree of contact that the subject has with people from Chile, and the subject's relationship status. There are no differences that indicate a higher level of social well-being in one population more than the other; however, it appears that the Peruvian population has a greater perception of Social Coherence, while Colombians show a greater perception of Social Contribution. |
<|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:"Adapting a transdiagnostic digital mental health intervention for use among immigrant and refugee youth in Seattle: a human-centered design approach."
Abstract:"Lay Summary Digital mental health interventions like apps and online mental health tools show promise in addressing mental health needs. This study adapted the STARS (Sustainable Technology for Adolescents to Reduce Stress) digital mental health intervention for use among youth and young adults from immigrant and refugee communities in Seattle, Washington. In our study, we adapted the intervention in a way that prioritizes the preferences of the intended end user. Modifications occurred in cycles: each time modifications resulted in a new version, the version was presented to a group of participants for their feedback and further modifications. Modifications in the final version included adapting language to less resemble digital phishing scams; naming the chatbot and adopting a corresponding avatar; changing existing emojis and adding additional media types; shortening the length of individual text sections as well as deleting redundant language; allowing the user to choose content catered to teenagers or to adults; and giving users options to skip parts of modules or to engage with additional material. The modified STARS intervention shows promise for engagement with immigrant and refugee youth in Seattle and can be examined for clinical effectiveness. Digital mental health interventions show promise in addressing mental health needs, especially among youth and marginalized communities. This study adapted the World Health Organization -developed STARS (Sustainable Technology for Adolescents to Reduce Stress) digital mental health intervention for use among youth and young adults aged 14-25 from immigrant and refugee communities in Seattle, Washington. Human-centered design methods centered around qualitative semi-structured interviews were used to contextually and culturally adapt the intervention and prioritize the needs and preferences of the intended end user. Intervention prototypes were modified and then presented to the target groups in iterative cycles until saturation was achieved. Qualitative interviews occurred in three iterations of five participants each. Modifications were documented according to the Framework for Reporting Adaptations and Modifications-Expanded (FRAME) implementation science framework. Modifications aligned with the FRAME process elements: (a) tailoring/refining, which included adapting language to less resemble digital phishing scams; (b) changes in packaging or materials, which included naming the chatbot and adopting a corresponding avatar; (c) adding/removing, which included changing existing emojis and adding additional media types including graphics interchange format images, pictures, and voice memos; (d) shortening/condensing, which included shortening the length of individual text sections as well as deleting redundant language; (e) lengthening/extending, which included allowing the user to choose to receive content catered to teenagers or to adults; and (f) loosening structure, including giving users opt."
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]. | abs08191 | 10.1093/tbm/ibad041 | Adapting a transdiagnostic digital mental health intervention for use among immigrant and refugee youth in Seattle: a human-centered design approach | Lay Summary Digital mental health interventions like apps and online mental health tools show promise in addressing mental health needs. This study adapted the STARS (Sustainable Technology for Adolescents to Reduce Stress) digital mental health intervention for use among youth and young adults from immigrant and refugee communities in Seattle, Washington. In our study, we adapted the intervention in a way that prioritizes the preferences of the intended end user. Modifications occurred in cycles: each time modifications resulted in a new version, the version was presented to a group of participants for their feedback and further modifications. Modifications in the final version included adapting language to less resemble digital phishing scams; naming the chatbot and adopting a corresponding avatar; changing existing emojis and adding additional media types; shortening the length of individual text sections as well as deleting redundant language; allowing the user to choose content catered to teenagers or to adults; and giving users options to skip parts of modules or to engage with additional material. The modified STARS intervention shows promise for engagement with immigrant and refugee youth in Seattle and can be examined for clinical effectiveness. Digital mental health interventions show promise in addressing mental health needs, especially among youth and marginalized communities. This study adapted the World Health Organization -developed STARS (Sustainable Technology for Adolescents to Reduce Stress) digital mental health intervention for use among youth and young adults aged 14-25 from immigrant and refugee communities in Seattle, Washington. Human-centered design methods centered around qualitative semi-structured interviews were used to contextually and culturally adapt the intervention and prioritize the needs and preferences of the intended end user. Intervention prototypes were modified and then presented to the target groups in iterative cycles until saturation was achieved. Qualitative interviews occurred in three iterations of five participants each. Modifications were documented according to the Framework for Reporting Adaptations and Modifications-Expanded (FRAME) implementation science framework. Modifications aligned with the FRAME process elements: (a) tailoring/refining, which included adapting language to less resemble digital phishing scams; (b) changes in packaging or materials, which included naming the chatbot and adopting a corresponding avatar; (c) adding/removing, which included changing existing emojis and adding additional media types including graphics interchange format images, pictures, and voice memos; (d) shortening/condensing, which included shortening the length of individual text sections as well as deleting redundant language; (e) lengthening/extending, which included allowing the user to choose to receive content catered to teenagers or to adults; and (f) loosening structure, including giving users options to skip parts of modules or to engage with additional material. The modified STARS intervention shows promise for engagement with immigrant and refugee youth in Seattle and can be examined for clinical effectiveness. Adaptations increased the relevance of content to the intended end user, expanded options for personalization and customization of the user experience, and utilized language that was age appropriate, engaging, and did not invoke feelings of stigma or distrust. Adaptations of digital mental health interventions should focus on modifications that maximize acceptability and appropriateness to intended audiences. (a) Digital mental health interventions like apps and online mental health tools show promise in addressing mental health needs. (b) Our study adapted a digital mental health intervention called STARS (Sustainable Technology for Adolescents to Reduce Stress) for use among youth and young adults from immigrant and refugee communities. (c) The modified STARS intervention shows promise for engagement with immigrant and refugee youth in Seattle and can be examined for clinical effectiveness. |
<|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:"Mortality in the offspring of individuals living along the radioactively contaminated Techa River: a descriptive analysis."
Abstract:"From 1949 onwards, radioactive waste was released into the Techa River in the southern Urals and the population living along the river was exposed to ionising radiation. Relocation of these people did not start until several years later, causing many individuals to be exposed to substantial doses from internal and external radiation. The identification and follow-up of the exposed individuals started more than 40 years ago and is still continuing. The Techa River offspring cohort (TROC) that has recently been established, comprises 10,459 children born to at least one parent living along the Techa River during the period 1950-1992. Of these children, 3,897 were born during the period of highest release, i.e. between 1950 and 1956 and might thus have been exposed in utero. A total of 1,103 individuals have since died mainly due to infectious and respiratory diseases, injury and poisoning. Only 25 cases were identified as having died of a malignant condition. The radioactive contamination of the Techa River in the southern Urals gives a unique possibility to study the adverse effects of protracted exposure to ionising radiation in a large well-described cohort. The Techa River offspring cohort will make it possible to study the effects on those exposed in utero or early in life and the follow-up of the cohort in the future is, therefore, of great importance. Comparisons with other cohorts of humans exposed early in life, will increase our knowledge in this field of research.."
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]. | abs04926 | 10.1007/s004110000074 | Mortality in the offspring of individuals living along the radioactively contaminated Techa River: a descriptive analysis | From 1949 onwards, radioactive waste was released into the Techa River in the southern Urals and the population living along the river was exposed to ionising radiation. Relocation of these people did not start until several years later, causing many individuals to be exposed to substantial doses from internal and external radiation. The identification and follow-up of the exposed individuals started more than 40 years ago and is still continuing. The Techa River offspring cohort (TROC) that has recently been established, comprises 10,459 children born to at least one parent living along the Techa River during the period 1950-1992. Of these children, 3,897 were born during the period of highest release, i.e. between 1950 and 1956 and might thus have been exposed in utero. A total of 1,103 individuals have since died mainly due to infectious and respiratory diseases, injury and poisoning. Only 25 cases were identified as having died of a malignant condition. The radioactive contamination of the Techa River in the southern Urals gives a unique possibility to study the adverse effects of protracted exposure to ionising radiation in a large well-described cohort. The Techa River offspring cohort will make it possible to study the effects on those exposed in utero or early in life and the follow-up of the cohort in the future is, therefore, of great importance. Comparisons with other cohorts of humans exposed early in life, will increase our knowledge in this field of research. |
<|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 Human Cost of Anthropogenic Global Warming: Semi-Quantitative Prediction and the 1,000-Tonne Rule."
Abstract:"Greenhouse-gas emissions are indirectly causing future deaths by multiple mechanisms. For example, reduced food and water supplies will exacerbate hunger, disease, violence, and migration. How will anthropogenic global warming (AGW) affect global mortality due to poverty around and beyond 2100? Roughly, how much burned fossil carbon corresponds to one future death? What are the psychological, medical, political, and economic implications? Predicted death tolls are crucial for policy formulation, but uncertainty increases with temporal distance from the present and estimates may be biased. Order-of-magnitude estimates should refer to literature from diverse relevant disciplines. The carbon budget for 2 degrees C AGW (roughly 10(12) tonnes carbon) will indirectly cause roughly 10(9) future premature deaths (10% of projected maximum global population), spread over one to two centuries. This zeroth-order prediction is relative and in addition to existing preventable death rates. It lies between likely best- and worst-case scenarios of roughly 3 x 10(8) and 3 x 10(9), corresponding to plus/minus one standard deviation on a logarithmic scale in a Gaussian probability distribution. It implies that one future premature death is caused every time roughly 1,000 (300-3,000) tonnes of carbon are burned. Therefore, any fossil-fuel project that burns millions of tons of carbon is probably indirectly killing thousands of future people. The prediction may be considered valid, accounting for multiple indirect links between AGW and death rates in a top-down approach, but unreliable due to the uncertainty of climate change feedback and interactions between physical, biological, social, and political climate impacts (e.g., ecological cascade effects and co-extinction). Given universal agreement on the value of human lives, a death toll of this unprecedented magnitude must be avoided at all costs. As a clear political message, the 1,000-tonne rule can be used to defend human rights, especially in developing countries, and to clarify that climate change is primarily a human rights issue.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [1];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [1]. | abs01870 | 10.3389/fpsyg.2019.02323 | The Human Cost of Anthropogenic Global Warming: Semi-Quantitative Prediction and the 1,000-Tonne Rule | Greenhouse-gas emissions are indirectly causing future deaths by multiple mechanisms. For example, reduced food and water supplies will exacerbate hunger, disease, violence, and migration. How will anthropogenic global warming (AGW) affect global mortality due to poverty around and beyond 2100? Roughly, how much burned fossil carbon corresponds to one future death? What are the psychological, medical, political, and economic implications? Predicted death tolls are crucial for policy formulation, but uncertainty increases with temporal distance from the present and estimates may be biased. Order-of-magnitude estimates should refer to literature from diverse relevant disciplines. The carbon budget for 2 degrees C AGW (roughly 10(12) tonnes carbon) will indirectly cause roughly 10(9) future premature deaths (10% of projected maximum global population), spread over one to two centuries. This zeroth-order prediction is relative and in addition to existing preventable death rates. It lies between likely best- and worst-case scenarios of roughly 3 x 10(8) and 3 x 10(9), corresponding to plus/minus one standard deviation on a logarithmic scale in a Gaussian probability distribution. It implies that one future premature death is caused every time roughly 1,000 (300-3,000) tonnes of carbon are burned. Therefore, any fossil-fuel project that burns millions of tons of carbon is probably indirectly killing thousands of future people. The prediction may be considered valid, accounting for multiple indirect links between AGW and death rates in a top-down approach, but unreliable due to the uncertainty of climate change feedback and interactions between physical, biological, social, and political climate impacts (e.g., ecological cascade effects and co-extinction). Given universal agreement on the value of human lives, a death toll of this unprecedented magnitude must be avoided at all costs. As a clear political message, the 1,000-tonne rule can be used to defend human rights, especially in developing countries, and to clarify that climate change is primarily a human rights issue. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Targeting population groups with heavier burden of hepatocellular carcinoma incidence: A nationwide descriptive epidemiological study in Sweden."
Abstract:"Contemporary European studies examining associations between socioeconomic status and hepatocellular carcinoma (HCC) incidence are scarce. We aimed to target population groups with a heavier burden of HCC by assessing associations of individual-level sociodemographic variables and neighbourhood deprivation with all-stage and stage-specific HCC incidence rates (IR). Patient and population data stratified by calendar year (2012-2018), sex, age (5-year groups), household income (low, medium and high), country of birth (Nordic, non-Nordic) and neighbourhood deprivation (national quintiles Q1-Q5) were retrieved from Swedish registers. HCC stages were defined by Barcelona Clinic Liver Cancer stages 0 to A (early-stage) and B to D (late-stage). IR (per 100 000 person-years) were estimated by Poisson regression models. Men had four times higher IR than women. IRs increased markedly with lower household income as well as with neighbourhood deprivation. Seven times higher IR was observed among people with a low household income living in the most deprived neighbourhoods (IR 3.90, 95% confidence interval [CI] 3.28-4.64) compared to people with a high household income living in the least deprived neighbourhoods (IR 0.58, 95% CI 0.46-0.74). The gradient across income categories was more pronounced for late-stage than early-stage HCC. IR reached 30 (per 100 000 person-years) for people in the age span 60 to 79 years with low income and 20 for 60 to 79 year old people living in the most deprived neighbourhoods (regardless of income). Men with low household income and/or living in the most deprived neighbourhoods might be considered as primary targets in studies evaluating the cost-effectiveness of screening for early-stage HCC detection.."
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]. | abs00639 | 10.1002/ijc.33993 | Targeting population groups with heavier burden of hepatocellular carcinoma incidence: A nationwide descriptive epidemiological study in Sweden | Contemporary European studies examining associations between socioeconomic status and hepatocellular carcinoma (HCC) incidence are scarce. We aimed to target population groups with a heavier burden of HCC by assessing associations of individual-level sociodemographic variables and neighbourhood deprivation with all-stage and stage-specific HCC incidence rates (IR). Patient and population data stratified by calendar year (2012-2018), sex, age (5-year groups), household income (low, medium and high), country of birth (Nordic, non-Nordic) and neighbourhood deprivation (national quintiles Q1-Q5) were retrieved from Swedish registers. HCC stages were defined by Barcelona Clinic Liver Cancer stages 0 to A (early-stage) and B to D (late-stage). IR (per 100 000 person-years) were estimated by Poisson regression models. Men had four times higher IR than women. IRs increased markedly with lower household income as well as with neighbourhood deprivation. Seven times higher IR was observed among people with a low household income living in the most deprived neighbourhoods (IR 3.90, 95% confidence interval [CI] 3.28-4.64) compared to people with a high household income living in the least deprived neighbourhoods (IR 0.58, 95% CI 0.46-0.74). The gradient across income categories was more pronounced for late-stage than early-stage HCC. IR reached 30 (per 100 000 person-years) for people in the age span 60 to 79 years with low income and 20 for 60 to 79 year old people living in the most deprived neighbourhoods (regardless of income). Men with low household income and/or living in the most deprived neighbourhoods might be considered as primary targets in studies evaluating the cost-effectiveness of screening for early-stage HCC detection. |
<|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:"Quality of healthcare for children with severe acute malnutrition in a refugee setting: cross-sectional study in West Nile Region, Uganda."
Abstract:"Objectives 5.0million annual deaths in low-income and middle-income countries are due to poor quality of care (QOC). We evaluated the QOC provided to malnourished children in West Nile Region in Uganda. Design Cross-sectional study. Setting West Nile Region, an area hosting over one million refugees. Participants Among 148 facilities providing nutritional services, 30 randomly selected facilities (20%) and the records of 1467 children with severe acute malnutrition (100% of those attending the 30 facilities during last year) were assessed. Outcomes The national Nutrition Service Delivery Assessment (NSDA) tool was used to assess capacity areas related to QOC. Case management, data quality and health outcomes were assessed from official health records. Multivariate analysis was performed to explore factors significantly associated with better cure rates. Results Of 305 NSDA scores allocated to 30 participating centres, 201 (65.9%) were 'good' or 'excellent'. However, 20 (66.7%) facilities had 'poor' 'quality improvement mechanisms' and 13 (43.3%) had 'poor' 'human resources'. Overall data quality in official records was poor, while recorded quality of case management was overall fair. Average cure rate was significantly lower than international Sphere standards (50.4% vs 75%p<0.001) with a higher default rate (23.2% vs 15%p<0.001). Large heterogeneity among facilities was detected for all indicators. Refugee-hosting and non-refugee-hosting facilities had a similar cure rate (47.1% vs 52.1%) though transfer rates were higher for those hosting refugees (21.5% vs 1.9%, p<0.001) despite better 'equipment and supplies'. 'Good/excellent' 'equipment' and 'store management' were significantly associated with better cure rates in outpatient therapeutic centres (+55.9, p<0.001; +65.4, p=0.041, respectively) in multivariate analysis. Conclusions Though most NSDA capacity areas were rated good or excellent, health outcomes of malnourished children in West Nile Region, both in refugee-hosting and non-refugee-hosting facilities, are significantly below international standards. Effective and sustainable approaches to improve malnourished child health outcomes are needed.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [0];
Q6 = [1]. | abs12011 | 10.1136/bmjopen-2019-034738 | Quality of healthcare for children with severe acute malnutrition in a refugee setting: cross-sectional study in West Nile Region, Uganda | Objectives 5.0million annual deaths in low-income and middle-income countries are due to poor quality of care (QOC). We evaluated the QOC provided to malnourished children in West Nile Region in Uganda. Design Cross-sectional study. Setting West Nile Region, an area hosting over one million refugees. Participants Among 148 facilities providing nutritional services, 30 randomly selected facilities (20%) and the records of 1467 children with severe acute malnutrition (100% of those attending the 30 facilities during last year) were assessed. Outcomes The national Nutrition Service Delivery Assessment (NSDA) tool was used to assess capacity areas related to QOC. Case management, data quality and health outcomes were assessed from official health records. Multivariate analysis was performed to explore factors significantly associated with better cure rates. Results Of 305 NSDA scores allocated to 30 participating centres, 201 (65.9%) were 'good' or 'excellent'. However, 20 (66.7%) facilities had 'poor' 'quality improvement mechanisms' and 13 (43.3%) had 'poor' 'human resources'. Overall data quality in official records was poor, while recorded quality of case management was overall fair. Average cure rate was significantly lower than international Sphere standards (50.4% vs 75%p<0.001) with a higher default rate (23.2% vs 15%p<0.001). Large heterogeneity among facilities was detected for all indicators. Refugee-hosting and non-refugee-hosting facilities had a similar cure rate (47.1% vs 52.1%) though transfer rates were higher for those hosting refugees (21.5% vs 1.9%, p<0.001) despite better 'equipment and supplies'. 'Good/excellent' 'equipment' and 'store management' were significantly associated with better cure rates in outpatient therapeutic centres (+55.9, p<0.001; +65.4, p=0.041, respectively) in multivariate analysis. Conclusions Though most NSDA capacity areas were rated good or excellent, health outcomes of malnourished children in West Nile Region, both in refugee-hosting and non-refugee-hosting facilities, are significantly below international standards. Effective and sustainable approaches to improve malnourished child health outcomes are needed. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"How Does the Sense of Closeness to God Affect Attitudes toward Refugees in Turkey? Multiculturalism and Social Contact as Mediators and National Belonging as Moderator."
Abstract:"Turkey has been the country hosting the highest number of refugees globally with the immigration of Syrians after the civil war in Syria. There have been no major problems between Turks and Syrians in the past ten years. Although Syrians have a financial burden of 71 billion USD to the Turkish state, Turkish society has not reacted significantly due to common religious, cultural, and humanitarian values. This study was conducted with 1743 individuals of different age groups, and it tried to understand the effect of Turkish society's spirituality in attitudes and behaviors towards Syrian refugees. This relationship was investigated with regard to whether the multiculturalism and contact frequency acted as mediators and national belonging acted as moderator. Gender, age, education, family income, marital status, and whether participants have Syrian neighbors were used as control variables. As a result of the analysis, it was found that the spirituality of the Turkish people was associated with their attitudes towards Syrian refugees, with the mediator effect being multiculturalism and social contact and the moderator effect being national belonging in this relationship.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,6];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs09800 | 10.3390/rel12080568 | How Does the Sense of Closeness to God Affect Attitudes toward Refugees in Turkey? Multiculturalism and Social Contact as Mediators and National Belonging as Moderator | Turkey has been the country hosting the highest number of refugees globally with the immigration of Syrians after the civil war in Syria. There have been no major problems between Turks and Syrians in the past ten years. Although Syrians have a financial burden of 71 billion USD to the Turkish state, Turkish society has not reacted significantly due to common religious, cultural, and humanitarian values. This study was conducted with 1743 individuals of different age groups, and it tried to understand the effect of Turkish society's spirituality in attitudes and behaviors towards Syrian refugees. This relationship was investigated with regard to whether the multiculturalism and contact frequency acted as mediators and national belonging acted as moderator. Gender, age, education, family income, marital status, and whether participants have Syrian neighbors were used as control variables. As a result of the analysis, it was found that the spirituality of the Turkish people was associated with their attitudes towards Syrian refugees, with the mediator effect being multiculturalism and social contact and the moderator effect being national belonging in this relationship. |
<|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:"Global human capital or cash cows? Redressing the uncertain status of internationally mobile students under international law."
Abstract:"As the COVID-19 pandemic spread around the globe, many millions of students found themselves trapped in foreign countries, far from home, with situations degenerating quickly. Despite the significant contribution these students make to the gross domestic product of host countries through student fees and participation in local labour markets, these temporary migrants were often excluded from any significant government supports. The plight of these (predominantly young) foreign scholars and trainees begs the question of the role international law does or should play in ensuring their security and wellbeing in disaster settings. This paper critically examines the protective reach for students of existing civil and human rights instruments, including conventions by the United Nations Educational, Scientific and Cultural Organization (UNESCO) and the International Labour Organization (ILO). In identifying gaps and unmet needs in the legal regimes, its aim is to open discussion about the value of creating binding standards to address the unique needs and predicaments of foreign students. Just as many of the world's most significant international instruments were created in response to global conflicts and disasters, the authors argue that COVID-19 presents the world with a real opportunity to reflect meaningfully on who has been left behind in the struggle to survive this truly global disaster. Internationally mobile students are particularly worthy of consideration because of the human capital they represent.."
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]. | abs09521 | gen.2021.64715105 | Global human capital or cash cows? Redressing the uncertain status of internationally mobile students under international law | As the COVID-19 pandemic spread around the globe, many millions of students found themselves trapped in foreign countries, far from home, with situations degenerating quickly. Despite the significant contribution these students make to the gross domestic product of host countries through student fees and participation in local labour markets, these temporary migrants were often excluded from any significant government supports. The plight of these (predominantly young) foreign scholars and trainees begs the question of the role international law does or should play in ensuring their security and wellbeing in disaster settings. This paper critically examines the protective reach for students of existing civil and human rights instruments, including conventions by the United Nations Educational, Scientific and Cultural Organization (UNESCO) and the International Labour Organization (ILO). In identifying gaps and unmet needs in the legal regimes, its aim is to open discussion about the value of creating binding standards to address the unique needs and predicaments of foreign students. Just as many of the world's most significant international instruments were created in response to global conflicts and disasters, the authors argue that COVID-19 presents the world with a real opportunity to reflect meaningfully on who has been left behind in the struggle to survive this truly global disaster. Internationally mobile students are particularly worthy of consideration because of the human capital they represent. |
<|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:"Estimates of female genital mutilation/cutting in the Netherlands: a comparison between a nationwide survey in midwifery practices and extrapolation-model."
Abstract:"BackgroundOwing to migration, female genital mutilation or cutting (FGM/C) has become a growing concern in host countries in which FGM/C is not familiar. There is a need for reliable estimates of FGM/C prevalence to inform medical and public health policy. We aimed to advance methodology for estimating the prevalence of FGM/C in diaspora by determining the prevalence of FGM/C among women giving birth in the Netherlands.MethodsTwo methods were applied to estimate the prevalence of FGM/C in women giving birth: (I) direct estimation of FGM/C was performed through a nationwide survey of all midwifery practices in the Netherlands and (II) the extrapolation model was adopted for indirect estimation of FGM/C, by applying population-based-survey data on FGM/C in country of origin to migrant women who gave birth in 2018 in the Netherlands.ResultsA nationwide survey among primary care midwifery practices that provided care for 57.5% of all deliveries in 2018 in the Netherlands, reported 523 cases of FGM/C, constituting FGM/C prevalence of 0.54%. The indirect estimation of FGM/C in an extrapolation-model resulted in an estimated prevalence of 1.55%. Possible reasons for the difference in FGM/C prevalence between direct- and indirect estimation include that the midwives were not being able to recognize, record or classify FGM/C, referral to an obstetrician before assessing FGM/C status of women and selective responding to the survey. Also, migrants might differ from people in their country of origin in terms of acculturation toward discontinuation of the practice. This may have contributed to the higher indirect-estimation of FGM/C compared to direct estimation of FGM/C.ConclusionsThe current study has provided insight into direct estimation of FGM/C through a survey of midwifery practices in the Netherlands. Evidence based on midwifery practices data can be regarded as a minimum benchmark for actual prevalence among the subpopulation of women who gave birth in a given year.."
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]. | abs19985 | 10.1186/s12889-020-09151-0 | Estimates of female genital mutilation/cutting in the Netherlands: a comparison between a nationwide survey in midwifery practices and extrapolation-model | BackgroundOwing to migration, female genital mutilation or cutting (FGM/C) has become a growing concern in host countries in which FGM/C is not familiar. There is a need for reliable estimates of FGM/C prevalence to inform medical and public health policy. We aimed to advance methodology for estimating the prevalence of FGM/C in diaspora by determining the prevalence of FGM/C among women giving birth in the Netherlands.MethodsTwo methods were applied to estimate the prevalence of FGM/C in women giving birth: (I) direct estimation of FGM/C was performed through a nationwide survey of all midwifery practices in the Netherlands and (II) the extrapolation model was adopted for indirect estimation of FGM/C, by applying population-based-survey data on FGM/C in country of origin to migrant women who gave birth in 2018 in the Netherlands.ResultsA nationwide survey among primary care midwifery practices that provided care for 57.5% of all deliveries in 2018 in the Netherlands, reported 523 cases of FGM/C, constituting FGM/C prevalence of 0.54%. The indirect estimation of FGM/C in an extrapolation-model resulted in an estimated prevalence of 1.55%. Possible reasons for the difference in FGM/C prevalence between direct- and indirect estimation include that the midwives were not being able to recognize, record or classify FGM/C, referral to an obstetrician before assessing FGM/C status of women and selective responding to the survey. Also, migrants might differ from people in their country of origin in terms of acculturation toward discontinuation of the practice. This may have contributed to the higher indirect-estimation of FGM/C compared to direct estimation of FGM/C.ConclusionsThe current study has provided insight into direct estimation of FGM/C through a survey of midwifery practices in the Netherlands. Evidence based on midwifery practices data can be regarded as a minimum benchmark for actual prevalence among the subpopulation of women who gave birth in a given year. |
<|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:"Do Work Permits Work? The Impacts of Formal Labor Market Integration of Syrian Refugees in Jordan."
Abstract:"The integration of refugees into host countries' formal labor markets is increasingly recommended as a durable solution to forced migration. Yet, this policy response is a contentious political topic with little empirical evidence, especially in low- and middle-income host countries available to support policy. This article examines the impacts of integrating Syrian refugees into Jordan's formal labor market. We use robust greedy one-to-one propensity score matching on comprehensive high-quality data from almost 75,000 Syrian refugee households collected between 2017 and 2019 to generate novel evidence on the socio-economic benefits of refugee labor market integration. Our findings show that the ability to access formal jobs, reflected by holding a work permit, is significantly associated with increased refugee income, strengthens food security, and reduces protection needs and child labor. These findings contribute to a better and knowledge-based understanding of a prominent policy response for forced migrants.."
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]. | abs08096 | 10.1093/jrs/fead064 | Do Work Permits Work? The Impacts of Formal Labor Market Integration of Syrian Refugees in Jordan | The integration of refugees into host countries' formal labor markets is increasingly recommended as a durable solution to forced migration. Yet, this policy response is a contentious political topic with little empirical evidence, especially in low- and middle-income host countries available to support policy. This article examines the impacts of integrating Syrian refugees into Jordan's formal labor market. We use robust greedy one-to-one propensity score matching on comprehensive high-quality data from almost 75,000 Syrian refugee households collected between 2017 and 2019 to generate novel evidence on the socio-economic benefits of refugee labor market integration. Our findings show that the ability to access formal jobs, reflected by holding a work permit, is significantly associated with increased refugee income, strengthens food security, and reduces protection needs and child labor. These findings contribute to a better and knowledge-based understanding of a prominent policy response for forced migrants. |
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