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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:"EXTENT AND TIMING OF THE LAST GLACIAL MAXIMUM IN SOUTHWESTERN ALASKA."
Abstract:"A glacier complex composed of confluent alpine glaciers, island ice caps, and piedmont lobes covered much of the Alaska Peninsula and Kodiak Island during the last glacial maximum (LGM). Because this glacier complex formed the southeastern border of Beringia, its dynamics may have been important in the timing and feasibility of the northwest coast route for human migration into lower-latitude North America. Radiocarbon dates from stratigraphic sections on Kodiak Island and in the Bristol Bay lowlands bracket the LGM in southwestern Alaska between 23,000 and 14,700 yr B.P. Reconstruction of ice thickness based on glacier trimlines, moraines, and calculations of basal-shear stress depict the Alaska Peninsula Glacier Complex flowing to the outer edge of the continental shelf in the Gulf of Alaska. Equilibrium-line altitudes (ELAs) were 300 to 700 m lower than today and approached sea level on the southwestern Alaska Peninsula. In northeastern areas where ELAs were higher, bedrock topography largely controlled ice flow except where ice saddles bridged straits and inlets. (C) 1994 University of Washington.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs21972 | 10.1006/qres.1994.1063 | EXTENT AND TIMING OF THE LAST GLACIAL MAXIMUM IN SOUTHWESTERN ALASKA | A glacier complex composed of confluent alpine glaciers, island ice caps, and piedmont lobes covered much of the Alaska Peninsula and Kodiak Island during the last glacial maximum (LGM). Because this glacier complex formed the southeastern border of Beringia, its dynamics may have been important in the timing and feasibility of the northwest coast route for human migration into lower-latitude North America. Radiocarbon dates from stratigraphic sections on Kodiak Island and in the Bristol Bay lowlands bracket the LGM in southwestern Alaska between 23,000 and 14,700 yr B.P. Reconstruction of ice thickness based on glacier trimlines, moraines, and calculations of basal-shear stress depict the Alaska Peninsula Glacier Complex flowing to the outer edge of the continental shelf in the Gulf of Alaska. Equilibrium-line altitudes (ELAs) were 300 to 700 m lower than today and approached sea level on the southwestern Alaska Peninsula. In northeastern areas where ELAs were higher, bedrock topography largely controlled ice flow except where ice saddles bridged straits and inlets. (C) 1994 University of Washington. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Geospatial modeling of the impact of sea level rise on coastal communities: application of Richmond, British Columbia, Canada."
Abstract:"Sea Level Rise (SLR) above the Mean Sea Level (MSL) may pose a substantial risk to coastal regions. This research investigates the possible impact of climate change and sea level rise in coastal areas. It locally analyzes the impact of sea level rise on Richmond, British Columbia, Canada. A model of Potentially Inundated Areas, based on a digital elevation model (DEM) was created, manipulated and processed in ArcGIS. Through this model, the impact of sea level rise was assessed on the surface area, residential areas, and a number of buildings, the number of dwellings, road network, and population. After the susceptible areas were delineated, it was estimated that at worst case scenario of 4 m sea level rise will impact Richmond by losing 46 percent of its total surface area, 462 km of road network will be under water, 637 buildings will be affected, 15 Sq. km of residential areas will be under water, and 30,000 houses will be affected. As a result, 89,000 people in the city will be displaced.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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 = [14,22];
Q5 = [1];
Q6 = [1]. | abs02799 | 10.1007/s40808-016-0199-2 | Geospatial modeling of the impact of sea level rise on coastal communities: application of Richmond, British Columbia, Canada | Sea Level Rise (SLR) above the Mean Sea Level (MSL) may pose a substantial risk to coastal regions. This research investigates the possible impact of climate change and sea level rise in coastal areas. It locally analyzes the impact of sea level rise on Richmond, British Columbia, Canada. A model of Potentially Inundated Areas, based on a digital elevation model (DEM) was created, manipulated and processed in ArcGIS. Through this model, the impact of sea level rise was assessed on the surface area, residential areas, and a number of buildings, the number of dwellings, road network, and population. After the susceptible areas were delineated, it was estimated that at worst case scenario of 4 m sea level rise will impact Richmond by losing 46 percent of its total surface area, 462 km of road network will be under water, 637 buildings will be affected, 15 Sq. km of residential areas will be under water, and 30,000 houses will be affected. As a result, 89,000 people in the city will be displaced. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Youth sexual behaviour in a boomtown: implications for the control of sexually transmitted infections."
Abstract:"Background: Northeastern British Columbia, Canada, is undergoing rapid in-migration of young, primarily male, workers in response to the boom'' in the oil/gas industries. Chlamydia rates in the region exceed the provincial average by 32% (294.6 cases per 100 000 persons compared with 213.3). Evidence indicates that sociocultural and structural determinants of young people's sexual health are key to consider in the design of interventions. Objectives: To investigate how sociocultural and structural features related to the oil/gas boom are perceived to affect the sexual behaviour of youth in a Northeastern boomtown''. Methods: The study included ethnographic fieldwork (8 weeks) and in-depth interviews with 25 youth (ages 15 25 years) and 14 health/social service providers. Results: Participants identified four main ways in which the sociocultural and structural conditions created by the boom affect sexual behaviours, fuelling the spread of sexually transmitted infections (STIs): mobility of oil/gas workers; binge partying; high levels of disposable income and gendered power dynamics. Conclusions: The sociocultural and structural conditions that are fostered by a resource-extraction boom appear to exacerbate sexual health inequalities among youths who live and work in these rapidly urbanising, remote locales. To meet the needs of this population, we recommend STI prevention and testing service delivery models that incorporate STI testing outreach to oil/gas workers and condom distribution. Global, national and local STI control efforts should consider the realities and needs of similar subpopulations of young people.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [0];
Q6 = [0]. | abs04394 | 10.1136/sti.2007.027219 | Youth sexual behaviour in a boomtown: implications for the control of sexually transmitted infections | Background: Northeastern British Columbia, Canada, is undergoing rapid in-migration of young, primarily male, workers in response to the boom'' in the oil/gas industries. Chlamydia rates in the region exceed the provincial average by 32% (294.6 cases per 100 000 persons compared with 213.3). Evidence indicates that sociocultural and structural determinants of young people's sexual health are key to consider in the design of interventions. Objectives: To investigate how sociocultural and structural features related to the oil/gas boom are perceived to affect the sexual behaviour of youth in a Northeastern boomtown''. Methods: The study included ethnographic fieldwork (8 weeks) and in-depth interviews with 25 youth (ages 15 25 years) and 14 health/social service providers. Results: Participants identified four main ways in which the sociocultural and structural conditions created by the boom affect sexual behaviours, fuelling the spread of sexually transmitted infections (STIs): mobility of oil/gas workers; binge partying; high levels of disposable income and gendered power dynamics. Conclusions: The sociocultural and structural conditions that are fostered by a resource-extraction boom appear to exacerbate sexual health inequalities among youths who live and work in these rapidly urbanising, remote locales. To meet the needs of this population, we recommend STI prevention and testing service delivery models that incorporate STI testing outreach to oil/gas workers and condom distribution. Global, national and local STI control efforts should consider the realities and needs of similar subpopulations of young 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:"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:"'Leaving Dublin': Photographic portrayals of post-Celtic Tiger emigration - a sociological analysis."
Abstract:"This article analyses David Monahan's photographic portrait series of over 120 people before emigrating from post-Celtic Tiger Ireland, entitled 'Leaving Dublin'. As a digital series that circulates across multiple media channels, it moves beyond the tradition of documentary photography into a more hybrid aesthetic, political and media environment. As well as inserting these images in multiple circulatory platforms and replicable formats, the series disrupts the dominant visual culture of emigration by expressively recasting how it is seen and thought. This article argues that the highly stylised and unsentimental aesthetic adopted by Monahan pushes the images beyond the established visual culture of sentimental departure, visualising instead transnational and multicultural histories and politics through complex circuits of migration. As such, it highlights what Mieke Bal sees as the instability of migratory culture in the city landscape. At the same time, however, it re-enacts particular social distinctions and divisions. Just as new trajectories, relationalites and stories 'appear' as constitutive of Dublin and contemporary mobility, so also other trajectories, relationalities and mobilities are disappeared in ways that keep an exclusionary topography and politics of mobility in place. This is evident in the insistent and persistent separation between Irish asylum-seeking/immigration and emigration-focused digital photographic projects. So, although digitisation facilitates reflexive ways of communicating contemporary migration, and Monahan's project succeeds in forging subtle connections, it also re-enacts structured disconnection and forgetting.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs12535 | 10.1177/0038026118795087 | 'Leaving Dublin': Photographic portrayals of post-Celtic Tiger emigration - a sociological analysis | This article analyses David Monahan's photographic portrait series of over 120 people before emigrating from post-Celtic Tiger Ireland, entitled 'Leaving Dublin'. As a digital series that circulates across multiple media channels, it moves beyond the tradition of documentary photography into a more hybrid aesthetic, political and media environment. As well as inserting these images in multiple circulatory platforms and replicable formats, the series disrupts the dominant visual culture of emigration by expressively recasting how it is seen and thought. This article argues that the highly stylised and unsentimental aesthetic adopted by Monahan pushes the images beyond the established visual culture of sentimental departure, visualising instead transnational and multicultural histories and politics through complex circuits of migration. As such, it highlights what Mieke Bal sees as the instability of migratory culture in the city landscape. At the same time, however, it re-enacts particular social distinctions and divisions. Just as new trajectories, relationalites and stories 'appear' as constitutive of Dublin and contemporary mobility, so also other trajectories, relationalities and mobilities are disappeared in ways that keep an exclusionary topography and politics of mobility in place. This is evident in the insistent and persistent separation between Irish asylum-seeking/immigration and emigration-focused digital photographic projects. So, although digitisation facilitates reflexive ways of communicating contemporary migration, and Monahan's project succeeds in forging subtle connections, it also re-enacts structured disconnection and forgetting. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 perception among Muslim minorities of host European countries: influence of legal status and citizenship."
Abstract:"Until the middle of the twentieth century, Muslims living in European countries were mainly indigenous people, completely assimilated with the rest of the population. Both their religion and their representative organizations enjoyed legal recognition, sometimes centuries long. A significant influx of immigrants of Muslim origin to Europe began in the mid twentieth century and a need for legal regulations sanctioning the status of Muslims within largely Christian societies became apparent. Their situation in this respect differs from country to country, sometimes due to a lack of an organization that would represent all the Muslims in a particular country, sometimes because of legal technicalities. In some countries, it is not even possible for Muslim immigrants to become citizens. The legal situation of Islam and its adherents exerts an important influence on their attitude towards their new country of residence and towards Europe, as well as significantly influencing their loyalty.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs04462 | 10.1080/14781150701865221 | The perception among Muslim minorities of host European countries: influence of legal status and citizenship | Until the middle of the twentieth century, Muslims living in European countries were mainly indigenous people, completely assimilated with the rest of the population. Both their religion and their representative organizations enjoyed legal recognition, sometimes centuries long. A significant influx of immigrants of Muslim origin to Europe began in the mid twentieth century and a need for legal regulations sanctioning the status of Muslims within largely Christian societies became apparent. Their situation in this respect differs from country to country, sometimes due to a lack of an organization that would represent all the Muslims in a particular country, sometimes because of legal technicalities. In some countries, it is not even possible for Muslim immigrants to become citizens. The legal situation of Islam and its adherents exerts an important influence on their attitude towards their new country of residence and towards Europe, as well as significantly influencing their loyalty. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Food in Traumatic Times: Women, Foodways and 'Polishness' During a Wartime 'Odyssey'."
Abstract:"In this article I explore the pivotal role of food in holding together, projecting and re-imagining a lost world and identity in the context of extreme trauma and dislocation. I do this through the story of seven women deported by the Soviet Union from the eastern borderlands of Poland in 1940, who experienced an 'odyssey' through Russia, the Middle East, and Africa which ended in London in the late 1940s. I explore how for them, their success in approximating 'proper' food in this context acted as a kind of barometer indicating their success in maintaining identity, social life and kinship. In this traumatic context the connection between the way in which food is prepared and consumed and the maintenance of social and kin structure comes through very clearly, including in particular the role of bread as the central food symbolising 'proper' life. The nature of kinship as not only centred on the family which eats 'proper meals' together but as something 'nested' and culminating symbolically in the imagined community of the Polish nation is demonstrated in the consumption of food in larger-scale contexts, in army and refugee camps and in other communal contexts during the war and afterwards in the UK. I explore how snack foods, on the other hand, served to generate ` identity extensions' through eating new foods with people outside the Polish community. Finally, I explore the way in which food reflects the sometimes uneasy sense of identity experienced by younger deportees and second generation Poles in the UK, including the creation of new kinds of identity which are both founded in and expressed through new, hybrid ways of eating.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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];
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Q4 = [0];
Q5 = [];
Q6 = [0]. | abs15957 | 10.1080/07409710.2012.715969 | Food in Traumatic Times: Women, Foodways and 'Polishness' During a Wartime 'Odyssey' | In this article I explore the pivotal role of food in holding together, projecting and re-imagining a lost world and identity in the context of extreme trauma and dislocation. I do this through the story of seven women deported by the Soviet Union from the eastern borderlands of Poland in 1940, who experienced an 'odyssey' through Russia, the Middle East, and Africa which ended in London in the late 1940s. I explore how for them, their success in approximating 'proper' food in this context acted as a kind of barometer indicating their success in maintaining identity, social life and kinship. In this traumatic context the connection between the way in which food is prepared and consumed and the maintenance of social and kin structure comes through very clearly, including in particular the role of bread as the central food symbolising 'proper' life. The nature of kinship as not only centred on the family which eats 'proper meals' together but as something 'nested' and culminating symbolically in the imagined community of the Polish nation is demonstrated in the consumption of food in larger-scale contexts, in army and refugee camps and in other communal contexts during the war and afterwards in the UK. I explore how snack foods, on the other hand, served to generate ` identity extensions' through eating new foods with people outside the Polish community. Finally, I explore the way in which food reflects the sometimes uneasy sense of identity experienced by younger deportees and second generation Poles in the UK, including the creation of new kinds of identity which are both founded in and expressed through new, hybrid ways of eating. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Quantifying water storage within the north of Lake Naivasha using sonar remote sensing and Landsat satellite data."
Abstract:"Endorheic freshwater lakes can be vital water resources for sustaining large populations. However, their land-locked nature can lead to overexploitation and long-term sediment accumulation, reducing water storage and quality. Lake Naivasha supports a rapidly expanding population and agricultural industry. Therefore, maintaining good water storage and quality within this endorheic lake is crucial for the Kenyan economy and population. The lake has a long history of level fluctuations and the region is considered to be suffering from a chronic imbalance between water supply and demand. This study quantifies the sediment deposition rate and its impact on Lake Naivasha's water levels and volume, using inexpensive remote sensing techniques that could be easily replicated for future monitoring. Evidence of sedimentation in the northern area averaging 23 mm yr(-1) was identified, which is likely annually displacing between 40.2 - 576 x10(3) m(3) of water. The volume displaced each year is equivalent to the water required to sustain between 40 - 1152 people. These results imply that current abstraction management, based purely upon lake level readings that govern a 'traffic lights' system, are detrimental to the long-term survival of the lake. The results also imply that lake health is decreasing. We recommend that future monitoring of this water resource and all endorheic lakes consider measurements of available water volume in combination with lake level data using the remote sensing methods we describe. (C) 2021 European Regional Centre for Ecohydrology of the Polish Academy of Sciences. Published by Elsevier B.V. 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]. | abs00705 | 10.1016/j.ecohyd.2021.07.011 | Quantifying water storage within the north of Lake Naivasha using sonar remote sensing and Landsat satellite data | Endorheic freshwater lakes can be vital water resources for sustaining large populations. However, their land-locked nature can lead to overexploitation and long-term sediment accumulation, reducing water storage and quality. Lake Naivasha supports a rapidly expanding population and agricultural industry. Therefore, maintaining good water storage and quality within this endorheic lake is crucial for the Kenyan economy and population. The lake has a long history of level fluctuations and the region is considered to be suffering from a chronic imbalance between water supply and demand. This study quantifies the sediment deposition rate and its impact on Lake Naivasha's water levels and volume, using inexpensive remote sensing techniques that could be easily replicated for future monitoring. Evidence of sedimentation in the northern area averaging 23 mm yr(-1) was identified, which is likely annually displacing between 40.2 - 576 x10(3) m(3) of water. The volume displaced each year is equivalent to the water required to sustain between 40 - 1152 people. These results imply that current abstraction management, based purely upon lake level readings that govern a 'traffic lights' system, are detrimental to the long-term survival of the lake. The results also imply that lake health is decreasing. We recommend that future monitoring of this water resource and all endorheic lakes consider measurements of available water volume in combination with lake level data using the remote sensing methods we describe. (C) 2021 European Regional Centre for Ecohydrology of the Polish Academy of Sciences. Published by Elsevier B.V. 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:"Differences in the Use of Primary Care Services Between Spanish National and Immigrant Patients."
Abstract:"Knowing what real use is made of health services by immigrant population is of great interest. The objectives are to analyze the use of primary care services by immigrants compared to Spanish nationals and to analyze these differences in relation to geographic origin. Retrospective observational study of all primary care visits made in 26 urban health centers. Main variable: total number of health centre visits/year. Dependent variables: type of clinician requested; type of attention, and origin of immigrants. The independent variable was nationality. Statistics were obtained from the electronic medical records. The 4,933,521 appointments made in 2007 were analyzed for a reference population of 594,145 people (11.15 % immigrants). The adjusted annual frequency for nationals was 8.3, versus whereas 4.6 for immigrants. The immigrant population makes less use of primary care services than national population. This is evident for all age groups and regardless of the immigrants' countries of origin. This result is important when planning health care resources for immigrant 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 = [0];
Q6 = [1]. | abs20550 | 10.1007/s10903-012-9647-x | Differences in the Use of Primary Care Services Between Spanish National and Immigrant Patients | Knowing what real use is made of health services by immigrant population is of great interest. The objectives are to analyze the use of primary care services by immigrants compared to Spanish nationals and to analyze these differences in relation to geographic origin. Retrospective observational study of all primary care visits made in 26 urban health centers. Main variable: total number of health centre visits/year. Dependent variables: type of clinician requested; type of attention, and origin of immigrants. The independent variable was nationality. Statistics were obtained from the electronic medical records. The 4,933,521 appointments made in 2007 were analyzed for a reference population of 594,145 people (11.15 % immigrants). The adjusted annual frequency for nationals was 8.3, versus whereas 4.6 for immigrants. The immigrant population makes less use of primary care services than national population. This is evident for all age groups and regardless of the immigrants' countries of origin. This result is important when planning health care resources for immigrant 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:"Integrating supply chains for emergencies and ongoing operations in UNHCR."
Abstract:"Humanitarian organizations (HOs) often base their warehouse locations on individuals' experience and knowledge rather than on decision-support tools. Many HOs run separate supply chains for emergency response and ongoing operations. Based on reviews of humanitarian network design literature combined with an in-depth case study of United Nations High Commissioner for Refugees (UNHCR), this paper presents a warehouse location model for joint prepositioning that incorporates political and security situation factors. Although accessibility, co-location, security, and human resources are crucial to the practice of humanitarian operations management, such contextual factors have not been included in existing network optimization models before. We found that when quantified, and modeled, such factors are important determinants of network configuration. In addition, our results suggest that joint prepositioning for emergency response and ongoing operations allows for expansion of the global warehouse network, and reducing cost and response time. (C) 2016 Elsevier B.V. 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]. | abs14816 | 10.1016/j.jom.2016.05.009 | Integrating supply chains for emergencies and ongoing operations in UNHCR | Humanitarian organizations (HOs) often base their warehouse locations on individuals' experience and knowledge rather than on decision-support tools. Many HOs run separate supply chains for emergency response and ongoing operations. Based on reviews of humanitarian network design literature combined with an in-depth case study of United Nations High Commissioner for Refugees (UNHCR), this paper presents a warehouse location model for joint prepositioning that incorporates political and security situation factors. Although accessibility, co-location, security, and human resources are crucial to the practice of humanitarian operations management, such contextual factors have not been included in existing network optimization models before. We found that when quantified, and modeled, such factors are important determinants of network configuration. In addition, our results suggest that joint prepositioning for emergency response and ongoing operations allows for expansion of the global warehouse network, and reducing cost and response time. (C) 2016 Elsevier B.V. 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:"Migration to the Maya Biosphere Reserve, Guatemala: Why place matters."
Abstract:"Most migration research examines international migration or urbanization. Yet understudied rural migrants are of critical concern for environmental conservation and rural sustainable development. Despite the fact that a relatively small number of all migrants settle remote rural frontiers, these are the agents responsible for perhaps most of the tropical deforestation on the planet. Further, rural migrants are among the most destitute people worldwide in terms of economic and human development. While some research has investigated deforestation resulting from frontier migration and frontier development, this article explores the necessary antecedent to tropical deforestation and poverty in agricultural frontiers: emigration from origin areas. The data come from a 2000 survey with community leaders and key informants in 16 municipios (municipalities) of migrant origin to the Maya Biosphere Reserve (MBR), Peten, Guatemala. A common denominator among communities of migration origin to the Peten frontier was unequal resource access, usually land. Nevertheless, factors driving resource scarcity were widely variable. Land degradation, land consolidation, and population growth prevailed in some communities but not in others. Despite similar exposure to community and regional level push factors, most people in the sampled communities did not emigrate, suggesting that any one or combination of factors is not necessarily sufficient for emigration.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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];
Q3 = [];
Q4 = [15,16];
Q5 = [1];
Q6 = [0]. | abs19239 | 10.17730/humo.67.1.lvk2584002111374 | Migration to the Maya Biosphere Reserve, Guatemala: Why place matters | Most migration research examines international migration or urbanization. Yet understudied rural migrants are of critical concern for environmental conservation and rural sustainable development. Despite the fact that a relatively small number of all migrants settle remote rural frontiers, these are the agents responsible for perhaps most of the tropical deforestation on the planet. Further, rural migrants are among the most destitute people worldwide in terms of economic and human development. While some research has investigated deforestation resulting from frontier migration and frontier development, this article explores the necessary antecedent to tropical deforestation and poverty in agricultural frontiers: emigration from origin areas. The data come from a 2000 survey with community leaders and key informants in 16 municipios (municipalities) of migrant origin to the Maya Biosphere Reserve (MBR), Peten, Guatemala. A common denominator among communities of migration origin to the Peten frontier was unequal resource access, usually land. Nevertheless, factors driving resource scarcity were widely variable. Land degradation, land consolidation, and population growth prevailed in some communities but not in others. Despite similar exposure to community and regional level push factors, most people in the sampled communities did not emigrate, suggesting that any one or combination of factors is not necessarily sufficient for emigration. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 multi-layer network of human mobility."
Abstract:"Recent availability of geo-localized data capturing individual human activity together with the statistical data on international migration opened up unprecedented opportunities for a study on global mobility. In this paper, we consider it from the perspective of a multi-layer complex network, built using a combination of three datasets: Twitter, Flickr and official migration data. Those datasets provide different, but equally important insights on the global mobility - while the first two highlight short-term visits of people from one country to another, the last one - migration - shows the long-term mobility perspective, when people relocate for good. The main purpose of the paper is to emphasize importance of this multi-layer approach capturing both aspects of human mobility at the same time. On the one hand, we show that although the general properties of different layers of the global mobility network are similar, there are important quantitative differences among them. On the other hand, we demonstrate that consideration of mobility from a multi-layer perspective can reveal important global spatial patterns in a way more consistent with those observed in other available relevant sources of international connections, in comparison to the spatial structure inferred from each network layer taken separately.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [6];
Q3 = [2];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs10417 | 10.1080/13658816.2017.1301455 | Global multi-layer network of human mobility | Recent availability of geo-localized data capturing individual human activity together with the statistical data on international migration opened up unprecedented opportunities for a study on global mobility. In this paper, we consider it from the perspective of a multi-layer complex network, built using a combination of three datasets: Twitter, Flickr and official migration data. Those datasets provide different, but equally important insights on the global mobility - while the first two highlight short-term visits of people from one country to another, the last one - migration - shows the long-term mobility perspective, when people relocate for good. The main purpose of the paper is to emphasize importance of this multi-layer approach capturing both aspects of human mobility at the same time. On the one hand, we show that although the general properties of different layers of the global mobility network are similar, there are important quantitative differences among them. On the other hand, we demonstrate that consideration of mobility from a multi-layer perspective can reveal important global spatial patterns in a way more consistent with those observed in other available relevant sources of international connections, in comparison to the spatial structure inferred from each network layer taken separately. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 contact and encounter in asylum seeker reception: the Utrecht Refugee Launchpad."
Abstract:"The Utrecht Refugee Launchpad was an experiment at city-level to create a more inclusive form of asylum seeker reception. The initiative used co-housing, bringing together young, local tenants with asylum seekers to improve social integration and local relations. This article examines the nature of social contact, and considers the value of relationships developed between asylum seekers and tenants, using qualitative data from interviews and participant observation. Our findings demonstrate the importance of context, as we show that the remote logics of the national asylum system imposed spatial and temporal limitations on the co-housing model to generate 'adjacent' and transient living. However, at times -through both accident and design- contact was developed with more ease: when there was an equal ratio, similarities between populations, low numbers (of around 80 people in total), access to shared space, and high commitment to the project's 'disposition to friendliness'. While we conclude that relationships proved ephemeral rather than sustained, the initiative nevertheless held promise by enabling asylum seekers brief escapes from landscapes of indifference encountered during reception. Recognising how wider institutional contexts impact on the development of contact however helps innovations like these to achieve a greater potential for transforming relationships and values in urban space.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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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Q4 = [0];
Q5 = [];
Q6 = [0]. | abs05962 | 10.1186/s40878-020-00187-0 | Social contact and encounter in asylum seeker reception: the Utrecht Refugee Launchpad | The Utrecht Refugee Launchpad was an experiment at city-level to create a more inclusive form of asylum seeker reception. The initiative used co-housing, bringing together young, local tenants with asylum seekers to improve social integration and local relations. This article examines the nature of social contact, and considers the value of relationships developed between asylum seekers and tenants, using qualitative data from interviews and participant observation. Our findings demonstrate the importance of context, as we show that the remote logics of the national asylum system imposed spatial and temporal limitations on the co-housing model to generate 'adjacent' and transient living. However, at times -through both accident and design- contact was developed with more ease: when there was an equal ratio, similarities between populations, low numbers (of around 80 people in total), access to shared space, and high commitment to the project's 'disposition to friendliness'. While we conclude that relationships proved ephemeral rather than sustained, the initiative nevertheless held promise by enabling asylum seekers brief escapes from landscapes of indifference encountered during reception. Recognising how wider institutional contexts impact on the development of contact however helps innovations like these to achieve a greater potential for transforming relationships and values in urban space. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Pastoral Abandonment, Shrub Proliferation and Landscape Changes: A Case Study from Gorkha, Nepal."
Abstract:"Seminatural grasslands have long been shaped and maintained by human-induced fire and grazing regimes in order to utilise extensive land areas, not suitable for intensive cultivation, for the production of protein for human consumption. Changes in either management regimes have great implications for vegetation cover and composition. In this context, we qualitatively examined 18 grasslands used by transhumance agro-pastoralists in western Gorkha, Nepal, to 1) show that the pastoral landscape is undergoing change due to shrub and tree encroachment; 2) understand the role of change in grazing and fire regimes in shrub encroachment dynamics; and 3) discuss management practices and policy implications of shrub control. In this region, grassland abandonment and livestock population decline have been the overriding land-use change trend over the last four decades brought on by out-migration of local people from these marginal areas. Our results revealed that Berberis shrub encroachment started approximately three decades ago and attained a problematic cover approximately 15 to 20 years ago. The shrub encroachment drivers are discussed in the context of changed fire and grazing practices. We underscore the necessity of management intervention to maintain the services provided by these seminatural systems; and suggest synergistic application of burning, weeding and grazing, rather than sporadic single treatment.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [1]. | abs03427 | 10.1080/01426397.2013.773299 | Pastoral Abandonment, Shrub Proliferation and Landscape Changes: A Case Study from Gorkha, Nepal | Seminatural grasslands have long been shaped and maintained by human-induced fire and grazing regimes in order to utilise extensive land areas, not suitable for intensive cultivation, for the production of protein for human consumption. Changes in either management regimes have great implications for vegetation cover and composition. In this context, we qualitatively examined 18 grasslands used by transhumance agro-pastoralists in western Gorkha, Nepal, to 1) show that the pastoral landscape is undergoing change due to shrub and tree encroachment; 2) understand the role of change in grazing and fire regimes in shrub encroachment dynamics; and 3) discuss management practices and policy implications of shrub control. In this region, grassland abandonment and livestock population decline have been the overriding land-use change trend over the last four decades brought on by out-migration of local people from these marginal areas. Our results revealed that Berberis shrub encroachment started approximately three decades ago and attained a problematic cover approximately 15 to 20 years ago. The shrub encroachment drivers are discussed in the context of changed fire and grazing practices. We underscore the necessity of management intervention to maintain the services provided by these seminatural systems; and suggest synergistic application of burning, weeding and grazing, rather than sporadic single treatment. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Design issues for a big city immunization registry."
Abstract:"New York is the nation's largest city with a birth cohort of more than 130,000 and nearly 2 million children aged 18 years and under. Its sheer size has important implications for registry design, as do the poverty, cultural diversity, and mobility of the population, as well as large numbers of special groups, such as homeless people and recent immigrants. The size and diversity of the provider population also have consequences for immunization registry planning. The private sector is heavily represented-about 55% of the immunizations are given by physicians in private practice, voluntary hospitals, and private clinics. Public and private providers practice in a variety of settings and span all levels of technologic sophistication. This article addresses the ways in which New York City's technical registry design and implementation plan have responded to local requirements and constraints. Topics covered include decisions about roles and responsibilities of central registry reporting and retrieving information, child identifiers collected and match strategies, and policy decisions about security and confidentiality. It is instructive to examine the process and rationale for New York City's design decisions, as well as the decisions themselves. Some of the decisions may in fact be generalizable to other large systems; some of the rejected alternatives may be appropriate under a different set of constraints. The entire decision process demonstrates how a group of planners took a general concept (an immunization registry) and modified it in the course of bringing it to the threshold of implementation, in the summer of 1996.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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 = [0]. | abs05060 | 10.1016/S0749-3797(18)30109-0 | Design issues for a big city immunization registry | New York is the nation's largest city with a birth cohort of more than 130,000 and nearly 2 million children aged 18 years and under. Its sheer size has important implications for registry design, as do the poverty, cultural diversity, and mobility of the population, as well as large numbers of special groups, such as homeless people and recent immigrants. The size and diversity of the provider population also have consequences for immunization registry planning. The private sector is heavily represented-about 55% of the immunizations are given by physicians in private practice, voluntary hospitals, and private clinics. Public and private providers practice in a variety of settings and span all levels of technologic sophistication. This article addresses the ways in which New York City's technical registry design and implementation plan have responded to local requirements and constraints. Topics covered include decisions about roles and responsibilities of central registry reporting and retrieving information, child identifiers collected and match strategies, and policy decisions about security and confidentiality. It is instructive to examine the process and rationale for New York City's design decisions, as well as the decisions themselves. Some of the decisions may in fact be generalizable to other large systems; some of the rejected alternatives may be appropriate under a different set of constraints. The entire decision process demonstrates how a group of planners took a general concept (an immunization registry) and modified it in the course of bringing it to the threshold of implementation, in the summer of 1996. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Recruits in Slovenski Branci: Reasons for joining."
Abstract:"The present paper is part of a larger research project that looked at the reality of the paramilitary phenomenon in Eastern Europe (Slovakia), in particular at the influence of the so-called refugee crisis on the creation and maintenance of paramilitary groups in the country. This paper introduces the Slovenski Branci (Slovak Recruits) unit as a case study of the motivations of recruits to engage in paramilitary activities. The recruits' reasons, as well as the attraction of violence and the perceived need for social defense will be studied here. With respect to methodology, the analysis is conducted from the point of view of cultural criminology. The research question for this paper is Why have recruits in Slovenski Branci decided to join the paramilitary group?. Overall, the reasons given by the recruits for participating in paramilitary activities can be divided into the need to defend the homeland against perceived invaders, based on nationalism and ontological insecurity, and the attractiveness of militarism for the people involved in the group.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [0]. | abs12777 | gen.2019.71955646 | Recruits in Slovenski Branci: Reasons for joining | The present paper is part of a larger research project that looked at the reality of the paramilitary phenomenon in Eastern Europe (Slovakia), in particular at the influence of the so-called refugee crisis on the creation and maintenance of paramilitary groups in the country. This paper introduces the Slovenski Branci (Slovak Recruits) unit as a case study of the motivations of recruits to engage in paramilitary activities. The recruits' reasons, as well as the attraction of violence and the perceived need for social defense will be studied here. With respect to methodology, the analysis is conducted from the point of view of cultural criminology. The research question for this paper is Why have recruits in Slovenski Branci decided to join the paramilitary group?. Overall, the reasons given by the recruits for participating in paramilitary activities can be divided into the need to defend the homeland against perceived invaders, based on nationalism and ontological insecurity, and the attractiveness of militarism for the people involved in the group. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Cutaneous Leishmaniasis in the Metropolitan City of Multan, Pakistan, a Neglected Tropical Disease."
Abstract:"Cutaneous leishmaniasis is a vector-borne infection caused by flagellated parasitic protozoans in the genus Leishmania. Promastigotes are the infective stage, which are transmitted by the bite of female sand flies of the genera Phlebotomus or Lutzomyia. Three clinical forms of Leishmania infection are recognized in humans, and they are caused by different Leishmania species. They are cutaneous leishmaniasis (CL), mucocutaneous leishmaniasis (ML), and visceral leishmaniasis (VL). Up to 2 million cases of leishmaniasis are reported annually worldwide. In Pakistan, CL is widely distributed in endemic areas. In the current study, a survey was conducted to investigate the occurrence of CL in an endemic area of the metropolitan city of Multan, Pakistan. The material for diagnosis of CL was obtained from 461 patients from 239 clinical laboratories and health care centers in Multan. Of these patients, 42.9% (198 of 461) having positive findings of amastigotes in Giemsa stained tissue impression smears. The distribution of CL skin lesions was highly variable. Most patients (76.2%) had a single lesion. Most CL lesions were found on a single hand (23.7%). The prevalence of two CL lesions per patient was 21.7%, while three or more positive CL lesions were observed in 2.0% of patients. The 198 CL-positive patients ranged in age 10-40 yr old, 101 were males, and 97 were females. Logistic regression analysis of leishmaniasis versus age and gender showed that both the age and gender had a significant (P < 0.05) effect on the occurrence of infection. Outbreaks of CL were reported in 14 of the 68 Union Councils of Multan.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs12998 | 10.1093/jme/tjy003 | Cutaneous Leishmaniasis in the Metropolitan City of Multan, Pakistan, a Neglected Tropical Disease | Cutaneous leishmaniasis is a vector-borne infection caused by flagellated parasitic protozoans in the genus Leishmania. Promastigotes are the infective stage, which are transmitted by the bite of female sand flies of the genera Phlebotomus or Lutzomyia. Three clinical forms of Leishmania infection are recognized in humans, and they are caused by different Leishmania species. They are cutaneous leishmaniasis (CL), mucocutaneous leishmaniasis (ML), and visceral leishmaniasis (VL). Up to 2 million cases of leishmaniasis are reported annually worldwide. In Pakistan, CL is widely distributed in endemic areas. In the current study, a survey was conducted to investigate the occurrence of CL in an endemic area of the metropolitan city of Multan, Pakistan. The material for diagnosis of CL was obtained from 461 patients from 239 clinical laboratories and health care centers in Multan. Of these patients, 42.9% (198 of 461) having positive findings of amastigotes in Giemsa stained tissue impression smears. The distribution of CL skin lesions was highly variable. Most patients (76.2%) had a single lesion. Most CL lesions were found on a single hand (23.7%). The prevalence of two CL lesions per patient was 21.7%, while three or more positive CL lesions were observed in 2.0% of patients. The 198 CL-positive patients ranged in age 10-40 yr old, 101 were males, and 97 were females. Logistic regression analysis of leishmaniasis versus age and gender showed that both the age and gender had a significant (P < 0.05) effect on the occurrence of infection. Outbreaks of CL were reported in 14 of the 68 Union Councils of Multan. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"What Is Social Inclusion? Insights From Interventions With Youth Across Migration Systems."
Abstract:"Social inclusion is a goal of 21st-century education and social welfare, yet research with violently displaced youth leaves gaps in its meaning. Social inclusion, a societal aim, lacks the perspectives of youth at its center. Given the pressures and power relations involved in learning how young people think and feel about social injustices and the support they need, developmental researchers must find innovative ways to study youth experiences and intentions in relation to environments, especially environments that threaten young lives. Emerging research highlights how displaced youth, peers along their journeys, and adults guiding supportive interventions make audible the meaning of social inclusion. Policy paradigms would benefit from research on sense-making in interventions rather than from emphasizing behavioral assessments and assimilation to local norms, as implied by social 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 = [];
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Q6 = [0]. | abs09650 | 10.1177/23727322211033001 | What Is Social Inclusion? Insights From Interventions With Youth Across Migration Systems | Social inclusion is a goal of 21st-century education and social welfare, yet research with violently displaced youth leaves gaps in its meaning. Social inclusion, a societal aim, lacks the perspectives of youth at its center. Given the pressures and power relations involved in learning how young people think and feel about social injustices and the support they need, developmental researchers must find innovative ways to study youth experiences and intentions in relation to environments, especially environments that threaten young lives. Emerging research highlights how displaced youth, peers along their journeys, and adults guiding supportive interventions make audible the meaning of social inclusion. Policy paradigms would benefit from research on sense-making in interventions rather than from emphasizing behavioral assessments and assimilation to local norms, as implied by social 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:"'Impious Easterners': Can Oxygen and Strontium Isotopes Serve as Indicators of Provenance in Early Medieval European Cemetery Populations?."
Abstract:"Considerable debate persists concerning the origins of those involved in the adventus Saxonum: the arrival of Germanic peoples in Britain during the fifth century AD. This question was investigated using oxygen and strontium isotope ratios obtained from archaeological dental samples from individuals in the 'Migration Period' cemetery, Ringlemere, Kent (n = 7) and three continental European sites (n = 17). Results demonstrated that strontium alone is unable to distinguish between individuals from south-east England and north-west Europe. Although Sr-87/Sr-86 values from Ringlemere fell within local biosphere parameters and suggest a spatially and temporally related group, delta O-18 values were inconsistent with origins in eastern England or on the North German plain. Results from the European sites negate past climate change as an explanation. It is possible that culturally mediated behaviour has obscured geographical relationships. Further work to characterize water sources and human delta O-18 values in the putative European homelands is required.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
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Q5 = [0];
Q6 = [1]. | abs03812 | 10.1179/1461957112Y.0000000001 | 'Impious Easterners': Can Oxygen and Strontium Isotopes Serve as Indicators of Provenance in Early Medieval European Cemetery Populations? | Considerable debate persists concerning the origins of those involved in the adventus Saxonum: the arrival of Germanic peoples in Britain during the fifth century AD. This question was investigated using oxygen and strontium isotope ratios obtained from archaeological dental samples from individuals in the 'Migration Period' cemetery, Ringlemere, Kent (n = 7) and three continental European sites (n = 17). Results demonstrated that strontium alone is unable to distinguish between individuals from south-east England and north-west Europe. Although Sr-87/Sr-86 values from Ringlemere fell within local biosphere parameters and suggest a spatially and temporally related group, delta O-18 values were inconsistent with origins in eastern England or on the North German plain. Results from the European sites negate past climate change as an explanation. It is possible that culturally mediated behaviour has obscured geographical relationships. Further work to characterize water sources and human delta O-18 values in the putative European homelands is required. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 CRITICAL APPRAISAL OF THE UNRWA-USA FRAMEWORK FOR COOPERATION (2021-2022) REGARDING PALESTINIAN REFUGEES."
Abstract:"Recently, issues related to Palestinian refugees have been diminishing in support due to multiple attempts made by the United States and Israel, which include measures to restrict the activities of the United Nations Relief and Works Agency for Palestinian Refugees (UNRWA). These attempts escalated when former US President Donald Trump announced a complete suspension of funding for the UNRWA in 2018, plunging the Agency into an unusual financial crisis that harmed the assistance to refugees in its operation areas. However, the current US President Joe Biden announced his intention to resume funding for the UNRWA and, in July 2021, signed a cooperation framework known as framework agreement but its terms and details were widely rejected by the Palestinians and the general public because of political and security reasons. According to the Agreement, individuals receiving military training under the UNRWA programmes are not eligible for UNRWA health or educational assistance. The framework agreement between the US and the UNRWA tries to change UNRWA's operating mandate without the authorisation of the United Nations General Assembly. Therefore, this article follows a doctrinal analytical approach to both the framework agreement and the UNRWA's operational mandate. It also critically appraises this Agreement in light of international humanitarian law and verifies its impact on the human rights of both beneficiaries and UNRWA workers, including rights to education and freedom of speech. This article concludes that the Agreement violates the norms of public international law by switching the Agency's missions and avoiding the need for an important decision-making process.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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 = [];
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Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
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Q6 = [0]. | abs09458 | gen.2022.56485762 | A CRITICAL APPRAISAL OF THE UNRWA-USA FRAMEWORK FOR COOPERATION (2021-2022) REGARDING PALESTINIAN REFUGEES | Recently, issues related to Palestinian refugees have been diminishing in support due to multiple attempts made by the United States and Israel, which include measures to restrict the activities of the United Nations Relief and Works Agency for Palestinian Refugees (UNRWA). These attempts escalated when former US President Donald Trump announced a complete suspension of funding for the UNRWA in 2018, plunging the Agency into an unusual financial crisis that harmed the assistance to refugees in its operation areas. However, the current US President Joe Biden announced his intention to resume funding for the UNRWA and, in July 2021, signed a cooperation framework known as framework agreement but its terms and details were widely rejected by the Palestinians and the general public because of political and security reasons. According to the Agreement, individuals receiving military training under the UNRWA programmes are not eligible for UNRWA health or educational assistance. The framework agreement between the US and the UNRWA tries to change UNRWA's operating mandate without the authorisation of the United Nations General Assembly. Therefore, this article follows a doctrinal analytical approach to both the framework agreement and the UNRWA's operational mandate. It also critically appraises this Agreement in light of international humanitarian law and verifies its impact on the human rights of both beneficiaries and UNRWA workers, including rights to education and freedom of speech. This article concludes that the Agreement violates the norms of public international law by switching the Agency's missions and avoiding the need for an important decision-making process. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Knowledge About Early Diagnosis of Breast Cancer, and Breast Cancer Risks Among Syrian Immigrants and Turkish Citizens: A Comparative, Cross-Sectional Study."
Abstract:"Objective: Cancer affects people regardless of being native or immigrants from developing countries. The most common form of cancer amongst displaced and immigrant women is breast cancer. This study provided a cultural comparison of early diagnosis, screening and breast cancer risks among Syrian immigrants and Turkish citizens in Turkey.Materials and Methods: The study was performed with a descriptive, comparative and cross-sectional design with 589 women (Turkish=302, Syrian=287). A Personal Information Form and Breast Cancer Risk Assessment Form were used for data collection.Results: The knowledge of Syrian immigrant women and behavior regarding breast self-examination, clinical breast examination, and screening with a mammogram were significantly lower than those of Turkish women (p<0.05). In addition, Syrian women's information about general breast cancer early diagnosis and screening was poorer. However, the mean breast cancer risk score was higher in Turkish women (p<0.05).Conclusion: The data highlighted the importance of understanding locally specific barriers to breast cancer screening among immigrants and developing national programs to increase cancer education as a means of prevention.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
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Q6 = [1]. | abs08213 | 10.4274/ejbh.galenos.2023.2023-1-6 | Knowledge About Early Diagnosis of Breast Cancer, and Breast Cancer Risks Among Syrian Immigrants and Turkish Citizens: A Comparative, Cross-Sectional Study | Objective: Cancer affects people regardless of being native or immigrants from developing countries. The most common form of cancer amongst displaced and immigrant women is breast cancer. This study provided a cultural comparison of early diagnosis, screening and breast cancer risks among Syrian immigrants and Turkish citizens in Turkey.Materials and Methods: The study was performed with a descriptive, comparative and cross-sectional design with 589 women (Turkish=302, Syrian=287). A Personal Information Form and Breast Cancer Risk Assessment Form were used for data collection.Results: The knowledge of Syrian immigrant women and behavior regarding breast self-examination, clinical breast examination, and screening with a mammogram were significantly lower than those of Turkish women (p<0.05). In addition, Syrian women's information about general breast cancer early diagnosis and screening was poorer. However, the mean breast cancer risk score was higher in Turkish women (p<0.05).Conclusion: The data highlighted the importance of understanding locally specific barriers to breast cancer screening among immigrants and developing national programs to increase cancer education as a means of prevention. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Diverging interpretations of humanitarian exceptions: assisting rejected asylum seekers in Norway."
Abstract:"This study explores the tension between regulations aimed at hindering the mobility of irregular migrants in Europe and the individuals who identify with humanitarian ideals and assist rejected asylum seekers. Drawing on legal document analysis and qualitative interviews with individuals who have supported rejected asylum seekers from Afghanistan, this study analyses how the term 'humanitarian assistance' is interpreted both legally and socially in the Norwegian context. Although Norway has implemented a humanitarian exception from criminal liability for humanitarian assistance to irregular migrants, the concept of humanitarian assistance is narrowly interpreted as life-saving assistance provided by publicly known formal organisations. This is in contrast with the broader understanding of humanitarian assistance maintained by the respondents, who understand the term as support beyond mere physical survival and which includes upholding human rights. It is shown that even though respondents align themselves with international human rights and humanitarian motives, they might still be prosecuted by the EU and national legislation. It is argued that the criminalisation of acts that are commonly deemed as morally right and humanitarian challenges fundamental principles of the use of punishment as a tool to prohibit harm in society.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
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Q3 = [];
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Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
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Q6 = [0]. | abs09775 | 10.1080/1369183X.2021.1965469 | Diverging interpretations of humanitarian exceptions: assisting rejected asylum seekers in Norway | This study explores the tension between regulations aimed at hindering the mobility of irregular migrants in Europe and the individuals who identify with humanitarian ideals and assist rejected asylum seekers. Drawing on legal document analysis and qualitative interviews with individuals who have supported rejected asylum seekers from Afghanistan, this study analyses how the term 'humanitarian assistance' is interpreted both legally and socially in the Norwegian context. Although Norway has implemented a humanitarian exception from criminal liability for humanitarian assistance to irregular migrants, the concept of humanitarian assistance is narrowly interpreted as life-saving assistance provided by publicly known formal organisations. This is in contrast with the broader understanding of humanitarian assistance maintained by the respondents, who understand the term as support beyond mere physical survival and which includes upholding human rights. It is shown that even though respondents align themselves with international human rights and humanitarian motives, they might still be prosecuted by the EU and national legislation. It is argued that the criminalisation of acts that are commonly deemed as morally right and humanitarian challenges fundamental principles of the use of punishment as a tool to prohibit harm in society. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Facilitating Access to Higher Education for People Seeking Asylum in Australia: Institutional and Community Responses."
Abstract:"Higher education remains unattainable for many people seeking asylum in Australia, where temporary visa status renders individuals ineligible for a range of government services including assistance with financing tertiary study. Many universities have responded by offering scholarships and other essential supports; however, our research indicates the challenges associated with studying while living on a temporary visa can affect the success of educational assistance. Here we highlight the importance of scholarships and other supports for facilitating access to tertiary study, particularly given the continuation of restrictive government policies, and identify the need for people seeking asylum to inform institutional and community responses.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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];
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Q5 = [1];
Q6 = [0]. | abs06084 | 10.25071/1920-7336.40658 | Facilitating Access to Higher Education for People Seeking Asylum in Australia: Institutional and Community Responses | Higher education remains unattainable for many people seeking asylum in Australia, where temporary visa status renders individuals ineligible for a range of government services including assistance with financing tertiary study. Many universities have responded by offering scholarships and other essential supports; however, our research indicates the challenges associated with studying while living on a temporary visa can affect the success of educational assistance. Here we highlight the importance of scholarships and other supports for facilitating access to tertiary study, particularly given the continuation of restrictive government policies, and identify the need for people seeking asylum to inform institutional and community responses. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 experiences of the older adults who are brought to live in shelter homes in Karachi, Pakistan: a qualitative study."
Abstract:"Background The traditional joint family system in a culturally diverse Pakistani society shows great respect and care for older population by the families and their generations. However, in the recent years the phenomenon of population ageing in Pakistan is rapidly increasing due to demographic shift influencing life expectancy, along with changes in socio-cultural values. This transition has resulted in institutionalization of the elderly as an emerging shelter alternative. The aim of this study was to explore the experiences of the elderly people and to identify the reason which compelled them to reside in these shelter homes. Method A qualitative methodology, with a descriptive exploratory design, was adopted for the study. A purposive sample of 14 elderly males and females were selected, from two different shelter homes in Karachi, Pakistan. Semi-structured interviews were audio recorded and transcribed. Content analysis was done to extract the themes and comprehend the data. Results Content analysis revealed five major themes: the circumstances of leaving home, experiences, and challenges to wellbeing before entering the care facility, coping with challenges, and decision to live in a shelter home. The analysis discovered that the elderly were experiencing lack of physical, psychological, emotional, and financial support from their family and children. It also indicated that migration of children for better career and employment opportunities, entrance of women into the workforce, and insensitive behaviour of children, left the senior citizens neglected and helpless. The findings also uncovered the challenges of unemployment and family disputes that the elderly had to face made them dependent, distressed, helpless, and lonely resulting in both their apparently willing and forceful decision to reside in shelter homes. Conclusion The findings point to need for further investigation of the identified areas in this study through qualitative and quantitative researches. There is a dire need for increasing public awareness through the social, electronic, and print media, and providing capacity building training to HCPs for the care of the elderly. The lobbying group can act as a catalyst in persuading the government officials for the execution of a policy on retirement, day care and subsidized provision of health services for the betterment of the elderly.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs01735 | 10.1186/s12877-019-1376-8 | Exploring the experiences of the older adults who are brought to live in shelter homes in Karachi, Pakistan: a qualitative study | Background The traditional joint family system in a culturally diverse Pakistani society shows great respect and care for older population by the families and their generations. However, in the recent years the phenomenon of population ageing in Pakistan is rapidly increasing due to demographic shift influencing life expectancy, along with changes in socio-cultural values. This transition has resulted in institutionalization of the elderly as an emerging shelter alternative. The aim of this study was to explore the experiences of the elderly people and to identify the reason which compelled them to reside in these shelter homes. Method A qualitative methodology, with a descriptive exploratory design, was adopted for the study. A purposive sample of 14 elderly males and females were selected, from two different shelter homes in Karachi, Pakistan. Semi-structured interviews were audio recorded and transcribed. Content analysis was done to extract the themes and comprehend the data. Results Content analysis revealed five major themes: the circumstances of leaving home, experiences, and challenges to wellbeing before entering the care facility, coping with challenges, and decision to live in a shelter home. The analysis discovered that the elderly were experiencing lack of physical, psychological, emotional, and financial support from their family and children. It also indicated that migration of children for better career and employment opportunities, entrance of women into the workforce, and insensitive behaviour of children, left the senior citizens neglected and helpless. The findings also uncovered the challenges of unemployment and family disputes that the elderly had to face made them dependent, distressed, helpless, and lonely resulting in both their apparently willing and forceful decision to reside in shelter homes. Conclusion The findings point to need for further investigation of the identified areas in this study through qualitative and quantitative researches. There is a dire need for increasing public awareness through the social, electronic, and print media, and providing capacity building training to HCPs for the care of the elderly. The lobbying group can act as a catalyst in persuading the government officials for the execution of a policy on retirement, day care and subsidized provision of health services for the betterment of the elderly. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 Cannot Let Them Die: Undocumented Immigrants and Media Framing of Health Deservingness in the United States."
Abstract:"Based on a systematic qualitative analysis of articles published by The New York Times (2009-2017), this article presents the main media frames that support the access to government-sponsored health care by undocumented immigrants, just before and after passage of the U.S. Affordable Care Act in 2010. Under the umbrella of selective inclusion, this study highlights a compassionate frame that conveys sympathy toward severely ill, undocumented immigrants. This approach is reinforced by a cost-control frame that underlines the economic benefits of providing health care to the undocumented immigrant population in the United States. Supported by both humane and market-based approaches, these frames make a compelling case for the inclusion of particular groups into the U.S. health care safety net. Ultimately, these findings contribute to our understanding of the media framing of undocumented immigrants' right to health care on the basis of deservingness.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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 = [0]. | abs20084 | 10.1177/1049732319830426 | We Cannot Let Them Die: Undocumented Immigrants and Media Framing of Health Deservingness in the United States | Based on a systematic qualitative analysis of articles published by The New York Times (2009-2017), this article presents the main media frames that support the access to government-sponsored health care by undocumented immigrants, just before and after passage of the U.S. Affordable Care Act in 2010. Under the umbrella of selective inclusion, this study highlights a compassionate frame that conveys sympathy toward severely ill, undocumented immigrants. This approach is reinforced by a cost-control frame that underlines the economic benefits of providing health care to the undocumented immigrant population in the United States. Supported by both humane and market-based approaches, these frames make a compelling case for the inclusion of particular groups into the U.S. health care safety net. Ultimately, these findings contribute to our understanding of the media framing of undocumented immigrants' right to health care on the basis of deservingness. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"MANAGING DEVELOPMENT OF A RAPIDLY GROWING AFRICAN CITY: A CASE OF GABORONE, BOTSWANA."
Abstract:"Urban development in the last four decades has brought a complete change to the urban image of Gaborone. Its original savannah landscape and surrounding green complexion has changed by cumulative impacts of numerous factors involved in creation of a contemporary settlement, from a small village to the capital city of Botswana. The concept of a garden city was introduced immediately after the country gained its independence from the British in 1966. Building on the legacy of garden city, it was assumed that the new town will continue to shape and gain recognition as an urban oasis. However, this was not the case and Gaborone became the fastest growing urban laboratory in Sub-Saharan Africa, portraying intensive diffusion and adoption of imported urban models (WARD, 1999). The spectacular population increase from only 7,000 people in 1966 to almost 200,000 in 2001, and urban sprawling were inevitable. This enlargement was fuelled by rural-urban migration owing to the administrative and economic status of Botswana's new capital, as well as, due to intensive urbanization, industrialization and transportation based on individual car use. Even in the latest city development plan (GoB, 2001) less attention has been paid to the role of green networks and areas, and their contribution to many ecological and societal values. Today, Gaborone is facing the challenge of the typical problems of mega-cities, such as environmental degradation, urban sprawl. The research project DIMSUD is dedicated to identify ways toward sustainable urban development, starting with an analysis of challenges, and continuing with the tasks for urban planning and opportunities for sustainable urban 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:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [1];
Q6 = [0]. | abs04656 | gen.2006.92181577 | MANAGING DEVELOPMENT OF A RAPIDLY GROWING AFRICAN CITY: A CASE OF GABORONE, BOTSWANA | Urban development in the last four decades has brought a complete change to the urban image of Gaborone. Its original savannah landscape and surrounding green complexion has changed by cumulative impacts of numerous factors involved in creation of a contemporary settlement, from a small village to the capital city of Botswana. The concept of a garden city was introduced immediately after the country gained its independence from the British in 1966. Building on the legacy of garden city, it was assumed that the new town will continue to shape and gain recognition as an urban oasis. However, this was not the case and Gaborone became the fastest growing urban laboratory in Sub-Saharan Africa, portraying intensive diffusion and adoption of imported urban models (WARD, 1999). The spectacular population increase from only 7,000 people in 1966 to almost 200,000 in 2001, and urban sprawling were inevitable. This enlargement was fuelled by rural-urban migration owing to the administrative and economic status of Botswana's new capital, as well as, due to intensive urbanization, industrialization and transportation based on individual car use. Even in the latest city development plan (GoB, 2001) less attention has been paid to the role of green networks and areas, and their contribution to many ecological and societal values. Today, Gaborone is facing the challenge of the typical problems of mega-cities, such as environmental degradation, urban sprawl. The research project DIMSUD is dedicated to identify ways toward sustainable urban development, starting with an analysis of challenges, and continuing with the tasks for urban planning and opportunities for sustainable urban 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:"In Search of the Third Eye, When the Two Others Are Shamefacedly Shut? Comment on Are Sexual and Reproductive Health Policies Designed for All? Vulnerable Groups in Policy Documents of Four European Countries and Their Involvement in Policy Development."
Abstract:"Ivanova et al explored how vulnerable groups and principles of human rights are incorporated into national sexual and reproductive health (SRH) policies in 4 countries. They adapted the EquiFrame of Amin and colleagues of 2011, to SRH vulnerable groups which we believe could now be used for analysis of national SRH polices beyond those 4 countries. Although we fully agree with the authors' two main findings that vulnerable groups and human rights' principles are not sufficiently integrated in SRH policies nor granted the possibility to participate in the process of development in those four countries, we do believe that these shortcomings are not limited to those countries only nor to the identified vulnerable groups either. We are convinced that the issue of SRH as such is still framed within a very limited logic for all with vulnerable groups being perceived as an extra threat or an extra burden.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
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Q4 = [];
Q5 = [];
Q6 = [0]. | abs14859 | 10.15171/ijhpm.2016.16 | In Search of the Third Eye, When the Two Others Are Shamefacedly Shut? Comment on Are Sexual and Reproductive Health Policies Designed for All? Vulnerable Groups in Policy Documents of Four European Countries and Their Involvement in Policy Development | Ivanova et al explored how vulnerable groups and principles of human rights are incorporated into national sexual and reproductive health (SRH) policies in 4 countries. They adapted the EquiFrame of Amin and colleagues of 2011, to SRH vulnerable groups which we believe could now be used for analysis of national SRH polices beyond those 4 countries. Although we fully agree with the authors' two main findings that vulnerable groups and human rights' principles are not sufficiently integrated in SRH policies nor granted the possibility to participate in the process of development in those four countries, we do believe that these shortcomings are not limited to those countries only nor to the identified vulnerable groups either. We are convinced that the issue of SRH as such is still framed within a very limited logic for all with vulnerable groups being perceived as an extra threat or an extra burden. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Supporting Muslim refugee youth during displacement: Implications for international school psychologists."
Abstract:"School psychologists around the world have an important role in advocating for refugee youth, including Muslim refugees who experience increased risk for mental health issues due to discrimination. There are few studies, however, that have examined the resiliency factors that impact Muslim refugee youth's well-being. This qualitative research study investigated these factors through the voices of humanitarian workers who are the primary source of support for these youth during displacement. Humanitarian workers (N = 28) were recruited using snowball sampling through organizations that serve refugee youth and families during displacement. Using a recursive thematic process, we identified four main themes associated with risk factors: (1) gender norm expectations, (2) challenges in help-seeking, (3) unsafe climate and limited resources, and (4) challenges in collaborating with family. We also identified two main themes of protective factors: (1) faith and culture, and (2) family, peer, and community connections. We discussed these themes in the context of school psychological practice and provided specific recommendations for international school psychologists who support Muslim refugee students.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs11074 | 10.1177/0143034320987280 | Supporting Muslim refugee youth during displacement: Implications for international school psychologists | School psychologists around the world have an important role in advocating for refugee youth, including Muslim refugees who experience increased risk for mental health issues due to discrimination. There are few studies, however, that have examined the resiliency factors that impact Muslim refugee youth's well-being. This qualitative research study investigated these factors through the voices of humanitarian workers who are the primary source of support for these youth during displacement. Humanitarian workers (N = 28) were recruited using snowball sampling through organizations that serve refugee youth and families during displacement. Using a recursive thematic process, we identified four main themes associated with risk factors: (1) gender norm expectations, (2) challenges in help-seeking, (3) unsafe climate and limited resources, and (4) challenges in collaborating with family. We also identified two main themes of protective factors: (1) faith and culture, and (2) family, peer, and community connections. We discussed these themes in the context of school psychological practice and provided specific recommendations for international school psychologists who support Muslim refugee students. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 change and regional development in China: Insights based on the 2000 census."
Abstract:"The People's Republic of China conducted its fifth population census in November 2000. This paper draws from that census and recent data to examine national and regional demographic changes in China over the past two decades. Nationally, the impact of fertility decline on rates of population growth, age composition, and household size is investigated. Regional population trends include the rising population share of the eastern region as a result of population growth due to migration and in response to the widening economic gap between coastal and interior China. Demographic differentials between the eastern region and the rest of China (i.e., in proportion of working-age population, household size, sex ratio, and levels of urbanization and educational attainment) suggest that migration is playing an increasingly important role in shaping regional population distribution and that the acceleration of uneven regional development poses a major challenge to policy makers.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs04851 | 10.2747/1538-7216.43.6.425 | Population change and regional development in China: Insights based on the 2000 census | The People's Republic of China conducted its fifth population census in November 2000. This paper draws from that census and recent data to examine national and regional demographic changes in China over the past two decades. Nationally, the impact of fertility decline on rates of population growth, age composition, and household size is investigated. Regional population trends include the rising population share of the eastern region as a result of population growth due to migration and in response to the widening economic gap between coastal and interior China. Demographic differentials between the eastern region and the rest of China (i.e., in proportion of working-age population, household size, sex ratio, and levels of urbanization and educational attainment) suggest that migration is playing an increasingly important role in shaping regional population distribution and that the acceleration of uneven regional development poses a major challenge to policy makers. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Mobility equity in a globalized world: Reducing inequalities in the sustainable development agenda."
Abstract:"Human mobility and inequality have determined one another throughout modern history, from the effects of labour migration to processes of urbanisation. The Sustainable Development Goals now offer an opportunity to re-examine this complex relationship in a globalized world. Drawing on major research evidence and key debates, this review article proposes a framework of mobility equity as part of SDG 10, which foresees the reduction of inequalities within and among countries by 2030. The main question addressed is how forms of social, human and digital mobility, including migration, can contribute to reduced inequalities and positive development outcomes. The reviewed research underpins the need for an approach that prioritizes equality of opportunity over equality of outcomes. Mobility equity offers such an approach and rests on two main foundations: people's equal capacity and freedom to be mobile in empowering ways, and the equal and inclusive regulation of mobility in all its forms, including human, social and digital mobility. The approach goes beyond income inequality and migrants' remittances to incorporate the differential mobility capacities among people in different contexts. This includes categorically excluded groups such as refugees, racialized minorities, and lower castes, but also tens of millions of workers in the global digital economy. As part of a special issue on new SDG Perspectives, the article provides new ideas for thinking about research and policy-making within the wider inequality-mobility nexus of global development. (C) 2018 Elsevier Ltd. 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 = [1];
Q2 = [];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [0]. | abs18228 | 10.1016/j.worlddev.2018.08.005 | Mobility equity in a globalized world: Reducing inequalities in the sustainable development agenda | Human mobility and inequality have determined one another throughout modern history, from the effects of labour migration to processes of urbanisation. The Sustainable Development Goals now offer an opportunity to re-examine this complex relationship in a globalized world. Drawing on major research evidence and key debates, this review article proposes a framework of mobility equity as part of SDG 10, which foresees the reduction of inequalities within and among countries by 2030. The main question addressed is how forms of social, human and digital mobility, including migration, can contribute to reduced inequalities and positive development outcomes. The reviewed research underpins the need for an approach that prioritizes equality of opportunity over equality of outcomes. Mobility equity offers such an approach and rests on two main foundations: people's equal capacity and freedom to be mobile in empowering ways, and the equal and inclusive regulation of mobility in all its forms, including human, social and digital mobility. The approach goes beyond income inequality and migrants' remittances to incorporate the differential mobility capacities among people in different contexts. This includes categorically excluded groups such as refugees, racialized minorities, and lower castes, but also tens of millions of workers in the global digital economy. As part of a special issue on new SDG Perspectives, the article provides new ideas for thinking about research and policy-making within the wider inequality-mobility nexus of global development. (C) 2018 Elsevier Ltd. 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:"Asylum, Refugee Protection and the European Response to Syrian Migration."
Abstract:"The recent increase in migration to the European Union raised many concerns for the EU, for Member States and for the individual. Much of the discussion hitherto has been focused on the EU from a state perspective and has been concerned with the policies proposed and adopted to address and limit inward movement of peoples. One issue that has not received requisite attention is that of the meaning of 'protection' from the individual claimant's point of view. This article reflects on the Syrian migration of 2015 and 2016 and the implications of a triumph of realpolitik-that is, state sovereignty-over a generous, meaningful and humane approach to asylum.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs07236 | 10.1093/jhuman/hux016 | Asylum, Refugee Protection and the European Response to Syrian Migration | The recent increase in migration to the European Union raised many concerns for the EU, for Member States and for the individual. Much of the discussion hitherto has been focused on the EU from a state perspective and has been concerned with the policies proposed and adopted to address and limit inward movement of peoples. One issue that has not received requisite attention is that of the meaning of 'protection' from the individual claimant's point of view. This article reflects on the Syrian migration of 2015 and 2016 and the implications of a triumph of realpolitik-that is, state sovereignty-over a generous, meaningful and humane approach to asylum. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 European Commission and the Configuration of Internal European Union Borders: Direct and Indirect Contribution."
Abstract:"This article examines the European Commission's contribution to the configuration of internal European Union borders. The focus is on several policy areas related to free movement of people. It engages with the literature examining the tools used by the Commission in influencing the EU decision-making process. It also looks into the studies summarizing the developments in EU migration that show the restrained manoeuvring space the Commission has in the policy areas. Building on these, the discursive techniques that are likely to be used in Commission articulations are conceptualized. The analysis of Commission documents shows that in the common visa policy and the common European asylum system (CEAS), the Commission has configured borders indirectly. In distinction, in the fields of intra-Community border controls and movement for work purposes of highly skilled third country nationals (TCNs), the Commission has managed to play a leadership role and to significantly and directly challenge the underlying logic upon which these policies are based.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs15725 | 10.1111/j.1468-5965.2012.02311.x | The European Commission and the Configuration of Internal European Union Borders: Direct and Indirect Contribution | This article examines the European Commission's contribution to the configuration of internal European Union borders. The focus is on several policy areas related to free movement of people. It engages with the literature examining the tools used by the Commission in influencing the EU decision-making process. It also looks into the studies summarizing the developments in EU migration that show the restrained manoeuvring space the Commission has in the policy areas. Building on these, the discursive techniques that are likely to be used in Commission articulations are conceptualized. The analysis of Commission documents shows that in the common visa policy and the common European asylum system (CEAS), the Commission has configured borders indirectly. In distinction, in the fields of intra-Community border controls and movement for work purposes of highly skilled third country nationals (TCNs), the Commission has managed to play a leadership role and to significantly and directly challenge the underlying logic upon which these policies are based. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Intercontinental differences in overweight of adopted Koreans in the United States and Europe."
Abstract:"A greater proportion of the United States (US) population is overweight or obese (with BMI over 25 kg/m(2)) relative to all Western European populations, and it might be expected that migrants to either the US or Western Europe would develop patterns of overweight and obesity that reflect this difference. This paper examines the effects of obesogenic environments on Asians by reporting differences in rates of overweight (which is taken to include obesity in this analysis) among 261 adult South Koreans, which had been adopted in early-life into white middle class families living in the US and in Western European Nations. Data collected during an international adoption survey carried out for the Korean government in 2008 were analyzed. The prevalence of overweight of adopted Koreans raised in the US significantly exceeds the level among adopted Koreans in Europe by 11.3%. These intercontinental differences are statistically significant after controlling for sex, current age, age of adoption, and education. This paper supports the view that life-style factors are more detrimental for the weight status of people in the US than in Western Europe. Crown Copyright (C) 2012 Published by Elsevier B.V. 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]. | abs20543 | 10.1016/j.ehb.2012.09.001 | Intercontinental differences in overweight of adopted Koreans in the United States and Europe | A greater proportion of the United States (US) population is overweight or obese (with BMI over 25 kg/m(2)) relative to all Western European populations, and it might be expected that migrants to either the US or Western Europe would develop patterns of overweight and obesity that reflect this difference. This paper examines the effects of obesogenic environments on Asians by reporting differences in rates of overweight (which is taken to include obesity in this analysis) among 261 adult South Koreans, which had been adopted in early-life into white middle class families living in the US and in Western European Nations. Data collected during an international adoption survey carried out for the Korean government in 2008 were analyzed. The prevalence of overweight of adopted Koreans raised in the US significantly exceeds the level among adopted Koreans in Europe by 11.3%. These intercontinental differences are statistically significant after controlling for sex, current age, age of adoption, and education. This paper supports the view that life-style factors are more detrimental for the weight status of people in the US than in Western Europe. Crown Copyright (C) 2012 Published by Elsevier B.V. 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:"Model reproduces individual, group and collective dynamics of human contact networks."
Abstract:"Empirical data on the dynamics of human face-to-face interactions across a variety of social venues have recently revealed a number of context-independent structural and temporal properties of human contact networks. This universality suggests that some basic mechanisms may be responsible for the unfolding of human interactions in the physical space. Here we discuss a simple model that reproduces the empirical distributions for the individual, group and collective dynamics of face-to-face contact networks. The model describes agents that move randomly in a two-dimensional space and tend to stop when meeting 'attractive' peers, and reproduces accurately the empirical distributions. (C) 2016 Elsevier B.V. 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]. | abs13954 | 10.1016/j.socnet.2016.06.002 | Model reproduces individual, group and collective dynamics of human contact networks | Empirical data on the dynamics of human face-to-face interactions across a variety of social venues have recently revealed a number of context-independent structural and temporal properties of human contact networks. This universality suggests that some basic mechanisms may be responsible for the unfolding of human interactions in the physical space. Here we discuss a simple model that reproduces the empirical distributions for the individual, group and collective dynamics of face-to-face contact networks. The model describes agents that move randomly in a two-dimensional space and tend to stop when meeting 'attractive' peers, and reproduces accurately the empirical distributions. (C) 2016 Elsevier B.V. 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:"Traces of human migrations in Helicobacter pylori populations."
Abstract:"Helicobacter pylori, a chronic gastric pathogen of human beings, can be divided into seven populations and subpopulations with distinct geographical distributions. These modern populations derive their gene pools from ancestral populations that arose in Africa, Central Asia, and East Asia. Subsequent spread can be attributed to human migratory fluxes such as the prehistoric colonization of Polynesia and the Americas, the neolithic introduction of farming to Europe, the Bantu expansion within Africa, and the stave trade.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [5,6];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [0]. | abs21641 | 10.1126/science.1080857 | Traces of human migrations in Helicobacter pylori populations | Helicobacter pylori, a chronic gastric pathogen of human beings, can be divided into seven populations and subpopulations with distinct geographical distributions. These modern populations derive their gene pools from ancestral populations that arose in Africa, Central Asia, and East Asia. Subsequent spread can be attributed to human migratory fluxes such as the prehistoric colonization of Polynesia and the Americas, the neolithic introduction of farming to Europe, the Bantu expansion within Africa, and the stave trade. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 hospitalization after injury: older women are displacing young men."
Abstract:"Objective: To evaluate trends in hospitalization after injuries in the USA. Design: National Hospital Discharge Survey data from 1979 to 2000 were evaluated annually by age group, sex, injury severity score (ISS), length of stay, and discharge destination. Setting and subjects: National probability sample of hospitalized patients. Interventions: None. Main outcome measures: Incidence, duration, outcome, and population based rates of hospital admission after injuries. Results: The number of young males admitted to hospitals after injuries has decreased dramatically; older females are now the group most frequently admitted. Total days in the hospital have decreased in all age groups, but have declined less in the older population than in the younger population; furthermore, most patients aged 65 and over were formerly discharged home, but now most are discharged to long term care facilities. Overall hospitalization rates after injury have decreased in all age groups, but have declined less in the older population; furthermore, male and female hospitalization rates for serious injury (ISS at least 9, excluding isolated hip fracture) are decreasing in younger age groups while increasing in older age groups. Conclusions: Older patients comprise a growing proportion of injuries requiring hospitalization. Trauma systems must address this change, and preventing injuries in older people is increasingly important.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs04813 | 10.1136/ip.9.3.214 | Trends in hospitalization after injury: older women are displacing young men | Objective: To evaluate trends in hospitalization after injuries in the USA. Design: National Hospital Discharge Survey data from 1979 to 2000 were evaluated annually by age group, sex, injury severity score (ISS), length of stay, and discharge destination. Setting and subjects: National probability sample of hospitalized patients. Interventions: None. Main outcome measures: Incidence, duration, outcome, and population based rates of hospital admission after injuries. Results: The number of young males admitted to hospitals after injuries has decreased dramatically; older females are now the group most frequently admitted. Total days in the hospital have decreased in all age groups, but have declined less in the older population than in the younger population; furthermore, most patients aged 65 and over were formerly discharged home, but now most are discharged to long term care facilities. Overall hospitalization rates after injury have decreased in all age groups, but have declined less in the older population; furthermore, male and female hospitalization rates for serious injury (ISS at least 9, excluding isolated hip fracture) are decreasing in younger age groups while increasing in older age groups. Conclusions: Older patients comprise a growing proportion of injuries requiring hospitalization. Trauma systems must address this change, and preventing injuries in older people is increasingly important. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 and Longer-Distance Commuting in Rural England."
Abstract:"Champion T., Coombes M. and Brown D. L. Migration and longer-distance commuting in rural England, Regional Studies. This paper examines whether recent in-migrants to rural settlements in England commute further to work than the longer-term residents of these places, and whether commuting distance differs according to the type of move and the geographical context of their home. The study is based on data from the Individual Controlled Access Microdata Sample (CAMS) of the 2001 Census of Population. It is found that recent in-migrants are much more likely than longer-term residents to commute at least 20km. Using binary logistic regression so as to allow for socio-demographic differences between people, it is shown that the likelihood of longer-distance commuting was highest for people who had moved home by between 15 and 99km and for people moving from the largest cities.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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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Q4 = [];
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Q5 = [1];
Q6 = [1]. | abs20739 | 10.1080/00343400802070902 | Migration and Longer-Distance Commuting in Rural England | Champion T., Coombes M. and Brown D. L. Migration and longer-distance commuting in rural England, Regional Studies. This paper examines whether recent in-migrants to rural settlements in England commute further to work than the longer-term residents of these places, and whether commuting distance differs according to the type of move and the geographical context of their home. The study is based on data from the Individual Controlled Access Microdata Sample (CAMS) of the 2001 Census of Population. It is found that recent in-migrants are much more likely than longer-term residents to commute at least 20km. Using binary logistic regression so as to allow for socio-demographic differences between people, it is shown that the likelihood of longer-distance commuting was highest for people who had moved home by between 15 and 99km and for people moving from the largest cities. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Inclusive Settlement of Young Asylum Seekers in a Rural Region: The Role of Informal Support and Mentoring."
Abstract:"In the last ten years, the settlement and integration of refugee families and asylum seekers have represented some of the main challenges faced by European territories. People in need of international protection can face challenges in being settled and integrated into rural areas where it is often difficult to find co-ethnic support networks. This case study provides relevant data on how the settlement of young asylum seekers is carried out in the main town of a rural area in Catalunya. It explores the impact of a mentoring programme which consists of providing informal support to newcomers in language acquisition (Catalan), as well as inclusion in the job market and social capital. We interviewed almost all participants of that programme in this rural area, gathering in-depth interviews with mentees (with eight young asylum seekers) and two discussion groups with their mentors (living in the main town of the region). Our findings showed that whereas the main objectives of the programme are providing linguistic support, social capital and inclusion to the job market, mentoring is more focused on providing emotional support and cultivating a sense of belonging. Various outcomes will be discussed which consider the types of support that were present in mentoring relationships and how bonding and bridging social capital were fostered, namely the elements that can promote a more inclusive and welcoming rural community.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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];
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Q4 = [0];
Q5 = [];
Q6 = [0]. | abs05805 | 10.3390/su13095132 | Inclusive Settlement of Young Asylum Seekers in a Rural Region: The Role of Informal Support and Mentoring | In the last ten years, the settlement and integration of refugee families and asylum seekers have represented some of the main challenges faced by European territories. People in need of international protection can face challenges in being settled and integrated into rural areas where it is often difficult to find co-ethnic support networks. This case study provides relevant data on how the settlement of young asylum seekers is carried out in the main town of a rural area in Catalunya. It explores the impact of a mentoring programme which consists of providing informal support to newcomers in language acquisition (Catalan), as well as inclusion in the job market and social capital. We interviewed almost all participants of that programme in this rural area, gathering in-depth interviews with mentees (with eight young asylum seekers) and two discussion groups with their mentors (living in the main town of the region). Our findings showed that whereas the main objectives of the programme are providing linguistic support, social capital and inclusion to the job market, mentoring is more focused on providing emotional support and cultivating a sense of belonging. Various outcomes will be discussed which consider the types of support that were present in mentoring relationships and how bonding and bridging social capital were fostered, namely the elements that can promote a more inclusive and welcoming rural community. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Effects of Income and Dental Insurance Coverage on Need for Dental Care in Canada."
Abstract:"Objective: To estimate the strength of the associations among income, dental insurance coverage and need for dental care (both urgent and nonurgent) in Canada. Methods: Multinomial logistic models were fit to data from the 2009 Canadian Health Measures Survey to test unadjusted associations among household income, dental insurance coverage and the need for urgent and nonurgent dental care. Adjusted associations, controlling for socio-demographic variables (age, sex, immigration status, education and province of residence) and oral health habits (brushing, flossing and visits to the dentist) were also evaluated. Results: In the unadjusted model, need for treatment was lower among people with dental insurance than among those without insurance coverage (for urgent treatment: odds ratio [OR] 0.76, 95% confidence interval [CI] 0.66-0.89; for nonurgent treatment: OR 0.59, 95% CI 0.50-0.70). In addition, there was an income gradient, whereby people with higher income had less need for dental treatment (for urgent treatment: OR 0.99, 95% CI 0.99-1.00; for nonurgent treatment: OR 0.99, 95% CI 0.98-0.99). Controlling for socio-demographic and oral health variables decreased the magnitude of the association between dental insurance coverage and need for treatment (for urgent treatment: OR 0.80, 95% CI 0.68-0.95; for nonurgent treatment: OR 0.76, 95% CI 0.63-0.92). An interaction term between dental coverage and income was significant in relation to the need for nonurgent treatment: among lower-income individuals, having insurance slightly decreased the odds of needing nonurgent treatment, with this decrease in odds becoming greater for middle-income earners and even greater for high-income earners. Conclusion: Income-related inequality in need for dental care exists even in the presence of dental insurance coverage and good dental hygiene habits. These findings highlight the need for increased access to dental care for low-income populations and families living in poverty.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
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Q5 = [1];
Q6 = [1]. | abs03373 | gen.2014.42046599 | Effects of Income and Dental Insurance Coverage on Need for Dental Care in Canada | Objective: To estimate the strength of the associations among income, dental insurance coverage and need for dental care (both urgent and nonurgent) in Canada. Methods: Multinomial logistic models were fit to data from the 2009 Canadian Health Measures Survey to test unadjusted associations among household income, dental insurance coverage and the need for urgent and nonurgent dental care. Adjusted associations, controlling for socio-demographic variables (age, sex, immigration status, education and province of residence) and oral health habits (brushing, flossing and visits to the dentist) were also evaluated. Results: In the unadjusted model, need for treatment was lower among people with dental insurance than among those without insurance coverage (for urgent treatment: odds ratio [OR] 0.76, 95% confidence interval [CI] 0.66-0.89; for nonurgent treatment: OR 0.59, 95% CI 0.50-0.70). In addition, there was an income gradient, whereby people with higher income had less need for dental treatment (for urgent treatment: OR 0.99, 95% CI 0.99-1.00; for nonurgent treatment: OR 0.99, 95% CI 0.98-0.99). Controlling for socio-demographic and oral health variables decreased the magnitude of the association between dental insurance coverage and need for treatment (for urgent treatment: OR 0.80, 95% CI 0.68-0.95; for nonurgent treatment: OR 0.76, 95% CI 0.63-0.92). An interaction term between dental coverage and income was significant in relation to the need for nonurgent treatment: among lower-income individuals, having insurance slightly decreased the odds of needing nonurgent treatment, with this decrease in odds becoming greater for middle-income earners and even greater for high-income earners. Conclusion: Income-related inequality in need for dental care exists even in the presence of dental insurance coverage and good dental hygiene habits. These findings highlight the need for increased access to dental care for low-income populations and families living in poverty. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"The making of an abuser."
Abstract:"This paper investigates how it is that a child has become an abuser, and by what means that process may be deconstructed. We know that abusers generally have a childhood history of abuse, though not necessarily sexual. Since not all children who have been traumatised repeat those patterns, and inflict abuse on others, then something must have happened for these particular children in response to their abuse. The author elaborates the view that there is no such thing, to paraphrase Winnicott, as 'an abused child' - no such child, that is, separate from the world of the relationships that formed him. He draws on the conceptualisation by Bentovim of an interlocking set of roles described as a 'trauma organised system'; this notion reflects the fact that the child is a product not just of his specifically traumatic experiences but of a milieu in which power and control is exerted by someone who has typically succeeded in neutralising any caring function in a family in order to bring about the exploitation of a child. Clinical material is presented from the intensive psychotherapy of a nine-year-old boy, who happened also to be a refugee, for whom abusive family dynamics dominated his internal world. He was found to have identified with the abuser, his own father, in order to escape the pain of his victim self and was threatening to act this out in the treatment, making the therapist into a victim. Management of the treatment setting by the inclusion of a benign parental figure enabled the acting out to be contained. Symbolisation of the child's inner conflicts became possible through play. As the abuser self was contained so the child's victim experiences could be processed. The conclusion is drawn that engaging therapeutically with the residues of trauma from the beginning of treatment is essential in working with young people who have abused.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs15045 | 10.1080/0075417X.2016.1238143 | The making of an abuser | This paper investigates how it is that a child has become an abuser, and by what means that process may be deconstructed. We know that abusers generally have a childhood history of abuse, though not necessarily sexual. Since not all children who have been traumatised repeat those patterns, and inflict abuse on others, then something must have happened for these particular children in response to their abuse. The author elaborates the view that there is no such thing, to paraphrase Winnicott, as 'an abused child' - no such child, that is, separate from the world of the relationships that formed him. He draws on the conceptualisation by Bentovim of an interlocking set of roles described as a 'trauma organised system'; this notion reflects the fact that the child is a product not just of his specifically traumatic experiences but of a milieu in which power and control is exerted by someone who has typically succeeded in neutralising any caring function in a family in order to bring about the exploitation of a child. Clinical material is presented from the intensive psychotherapy of a nine-year-old boy, who happened also to be a refugee, for whom abusive family dynamics dominated his internal world. He was found to have identified with the abuser, his own father, in order to escape the pain of his victim self and was threatening to act this out in the treatment, making the therapist into a victim. Management of the treatment setting by the inclusion of a benign parental figure enabled the acting out to be contained. Symbolisation of the child's inner conflicts became possible through play. As the abuser self was contained so the child's victim experiences could be processed. The conclusion is drawn that engaging therapeutically with the residues of trauma from the beginning of treatment is essential in working with young people who have abused. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Tracking Human Mobility Using WiFi Signals."
Abstract:"We study six months of human mobility data, including WiFi and GPS traces recorded with high temporal resolution, and find that time series of WiFi scans contain a strong latent location signal. In fact, due to inherent stability and low entropy of human mobility, it is possible to assign location to WiFi access points based on a very small number of GPS samples and then use these access points as location beacons. Using just one GPS observation per day per person allows us to estimate the location of, and subsequently use, WiFi access points to account for 80% of mobility across a population. These results reveal a great opportunity for using ubiquitous WiFi routers for high-resolution outdoor positioning, but also significant privacy implications of such side-channel location tracking.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs10043 | 10.1371/journal.pone.0130824 | Tracking Human Mobility Using WiFi Signals | We study six months of human mobility data, including WiFi and GPS traces recorded with high temporal resolution, and find that time series of WiFi scans contain a strong latent location signal. In fact, due to inherent stability and low entropy of human mobility, it is possible to assign location to WiFi access points based on a very small number of GPS samples and then use these access points as location beacons. Using just one GPS observation per day per person allows us to estimate the location of, and subsequently use, WiFi access points to account for 80% of mobility across a population. These results reveal a great opportunity for using ubiquitous WiFi routers for high-resolution outdoor positioning, but also significant privacy implications of such side-channel location tracking. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"(Some) refugees welcome: When is differentiating between refugees unlawful discrimination?."
Abstract:"Europe's extraordinary response to those fleeing the Russian invasion of Ukraine in February 2022 has prompted many criticisms of Europe's treatment of other refugees, and indeed people of colour and members of ethnic minorities fleeing Ukraine. While stark, this differentiated response in not unusual: The global refugee regime treats different refugees differently, as a matter of course. Refugees often encounter racialized migration controls, and systems which privilege some refugees over others. The article seeks to clarify when these practices violate the international legal prohibitions on discrimination on grounds of race and nationality. To do so, it focuses on race discrimination in general international human rights law, clarifying the interaction between general human rights principles and instruments, and the specialist instrument in the field, the International Convention on the Elimination of all Forms of Racial Discrimination. We identify how differences in treatment on grounds of nationality may engage the prohibition on race discrimination both directly (in particular when nationality equates to national origin) or indirectly. Concerning nationality discrimination, the article focuses in particular on the added value of Article 3 of the 1951 Convention on the Status of Refugees, which obliges states to 'apply the provisions of this Convention to refugees without discrimination as to race, religion or country of origin.' We examine Article 3 both within the overall scheme of the Refugee Convention and as a source to guide interpretation of international human rights norms.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs05494 | 10.1177/13582291221116476 | (Some) refugees welcome: When is differentiating between refugees unlawful discrimination? | Europe's extraordinary response to those fleeing the Russian invasion of Ukraine in February 2022 has prompted many criticisms of Europe's treatment of other refugees, and indeed people of colour and members of ethnic minorities fleeing Ukraine. While stark, this differentiated response in not unusual: The global refugee regime treats different refugees differently, as a matter of course. Refugees often encounter racialized migration controls, and systems which privilege some refugees over others. The article seeks to clarify when these practices violate the international legal prohibitions on discrimination on grounds of race and nationality. To do so, it focuses on race discrimination in general international human rights law, clarifying the interaction between general human rights principles and instruments, and the specialist instrument in the field, the International Convention on the Elimination of all Forms of Racial Discrimination. We identify how differences in treatment on grounds of nationality may engage the prohibition on race discrimination both directly (in particular when nationality equates to national origin) or indirectly. Concerning nationality discrimination, the article focuses in particular on the added value of Article 3 of the 1951 Convention on the Status of Refugees, which obliges states to 'apply the provisions of this Convention to refugees without discrimination as to race, religion or country of origin.' We examine Article 3 both within the overall scheme of the Refugee Convention and as a source to guide interpretation of international human rights norms. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 development and maturation of humanitarian psychology."
Abstract:"Humanitarian psychological support as an organized field is relatively young. Pioneers in the field were involved primarily in providing psychological support to refugees and internally displaced persons in conflict and nonconflict situations. This article describes basic principles for the design of psychological support programs and interventions. The International Federation of Red Cross and Red Crescent Societies (IFRC) began a psychological support program in 1991. The IFRC chose psychological first aid as its model for implementation in developing countries. Psychological first aid fits all the principles for psychological support program design and is adapted to individual communities. The first generation of psychological support programs differed dramatically depending on the countries in which they were developed. A second generation of psychological support programs evolved in response to the earthquake/tsunami of December 26, 2004. The Inter-Agency Standing Committee international guidelines consolidated the advances of second-generation programs and provided a clear indication of the wide acceptance of the importance of psychological support. A glimpse is provided of the third generation of psychological support programs, and an admonition is made for a more empirical evaluation of the effectiveness of interventions.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
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Q6 = [0]. | abs16650 | 10.1037/0003-066X.62.8.932 | The development and maturation of humanitarian psychology | Humanitarian psychological support as an organized field is relatively young. Pioneers in the field were involved primarily in providing psychological support to refugees and internally displaced persons in conflict and nonconflict situations. This article describes basic principles for the design of psychological support programs and interventions. The International Federation of Red Cross and Red Crescent Societies (IFRC) began a psychological support program in 1991. The IFRC chose psychological first aid as its model for implementation in developing countries. Psychological first aid fits all the principles for psychological support program design and is adapted to individual communities. The first generation of psychological support programs differed dramatically depending on the countries in which they were developed. A second generation of psychological support programs evolved in response to the earthquake/tsunami of December 26, 2004. The Inter-Agency Standing Committee international guidelines consolidated the advances of second-generation programs and provided a clear indication of the wide acceptance of the importance of psychological support. A glimpse is provided of the third generation of psychological support programs, and an admonition is made for a more empirical evaluation of the effectiveness of interventions. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Flowing sense of place: Perceptions of host city impacting on city attachment of rural-urban migrants in China."
Abstract:"The increasing population mobility in the context of globalization has greatly reshaped people's cognition and sentiment toward their places of residence. China has witnessed an unprecedented surge in internal migration from rural to urban areas since the mid-1980 s. However, limited by multiple barriers, rural-urban migrants in China face predicaments in establishing a psychological bond with their host cities. This study develops a conceptual framework that links rural-urban migrants' urban experiences and attitudes toward both original and urban lifestyles to their city attachment. Using a nationwide survey and structural equation modeling, this study finds that (1) while willingness of social interaction with urban locals has a positive effect on the urban attachment of rural-urban migrants, perceived social exclusion depresses the urban attachment of rural-urban migrants. (2) Loyalty to one's original lifestyle is not significantly associated with the urban attachment of rural-urban migrants, whereas preference for the urban lifestyle is positively associated with the urban attachment of rural-urban migrants. (3) Willingness of social interaction with urban locals and perceived social exclusion can affect the urban attachment of ruralurban migrants by influencing their attitudes toward the urban lifestyle. (4) perceived social exclusion is positively related to loyalty to the original lifestyle for rural-urban migrants from cities located in northern area of China, while it is negatively related to loyalty to the original lifestyle for rural-urban migrants from cities located in the central and southern areas. Our study broadens the research on the urban attachment of rural-urban migrants and suggests that migrants' experiences in the host society and attitudes toward the lifestyle of the host society are significant in shaping their place attachment to the host society. Furthermore, the process by which rural-urban migrants form meaningful relations with the city can occur through the influence of urban experiences on attitudes toward the urban lifestyle.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs19743 | 10.1016/j.ijintrel.2022.04.003 | Flowing sense of place: Perceptions of host city impacting on city attachment of rural-urban migrants in China | The increasing population mobility in the context of globalization has greatly reshaped people's cognition and sentiment toward their places of residence. China has witnessed an unprecedented surge in internal migration from rural to urban areas since the mid-1980 s. However, limited by multiple barriers, rural-urban migrants in China face predicaments in establishing a psychological bond with their host cities. This study develops a conceptual framework that links rural-urban migrants' urban experiences and attitudes toward both original and urban lifestyles to their city attachment. Using a nationwide survey and structural equation modeling, this study finds that (1) while willingness of social interaction with urban locals has a positive effect on the urban attachment of rural-urban migrants, perceived social exclusion depresses the urban attachment of rural-urban migrants. (2) Loyalty to one's original lifestyle is not significantly associated with the urban attachment of rural-urban migrants, whereas preference for the urban lifestyle is positively associated with the urban attachment of rural-urban migrants. (3) Willingness of social interaction with urban locals and perceived social exclusion can affect the urban attachment of ruralurban migrants by influencing their attitudes toward the urban lifestyle. (4) perceived social exclusion is positively related to loyalty to the original lifestyle for rural-urban migrants from cities located in northern area of China, while it is negatively related to loyalty to the original lifestyle for rural-urban migrants from cities located in the central and southern areas. Our study broadens the research on the urban attachment of rural-urban migrants and suggests that migrants' experiences in the host society and attitudes toward the lifestyle of the host society are significant in shaping their place attachment to the host society. Furthermore, the process by which rural-urban migrants form meaningful relations with the city can occur through the influence of urban experiences on attitudes toward the urban lifestyle. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Modelling the propagation of infectious disease via transportation networks."
Abstract:"The dynamics of human mobility have been known to play a critical role in the spread of infectious diseases like COVID-19. In this paper, we present a simple compact way to model the transmission of infectious disease through transportation networks using widely available aggregate mobility data in the form of a zone-level origin-destination (OD) travel flow matrix. A key feature of our model is that it not only captures the propagation of infection via direct connections between zones (first-order effects) as in most existing studies but also transmission effects that are due to subsequent interactions in the remainder of the system (higher-order effects). We demonstrate the importance of capturing higher-order effects in a simulation study. We then apply our model to study the first wave of COVID-19 infections in (i) Italy, and, (ii) the New York Tri-State area. We use daily data on mobility between Italian provinces (province-level OD data) and between Tri-State Area counties (county-level OD data), and daily reported caseloads at the same geographical levels. Our empirical results indicate substantial predictive power, particularly during the early stages of the outbreak. Our model forecasts at least 85% of the spatial variation in observed weekly COVID-19 cases. Most importantly, our model delivers crucial metrics to identify target areas for intervention.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs06967 | 10.1038/s41598-022-24866-3 | Modelling the propagation of infectious disease via transportation networks | The dynamics of human mobility have been known to play a critical role in the spread of infectious diseases like COVID-19. In this paper, we present a simple compact way to model the transmission of infectious disease through transportation networks using widely available aggregate mobility data in the form of a zone-level origin-destination (OD) travel flow matrix. A key feature of our model is that it not only captures the propagation of infection via direct connections between zones (first-order effects) as in most existing studies but also transmission effects that are due to subsequent interactions in the remainder of the system (higher-order effects). We demonstrate the importance of capturing higher-order effects in a simulation study. We then apply our model to study the first wave of COVID-19 infections in (i) Italy, and, (ii) the New York Tri-State area. We use daily data on mobility between Italian provinces (province-level OD data) and between Tri-State Area counties (county-level OD data), and daily reported caseloads at the same geographical levels. Our empirical results indicate substantial predictive power, particularly during the early stages of the outbreak. Our model forecasts at least 85% of the spatial variation in observed weekly COVID-19 cases. Most importantly, our model delivers crucial metrics to identify target areas for intervention. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Management of refugee crisis in Albania during the 1999 Kosovo conflict."
Abstract:"The report presents key data on Kosovo refugees in Albania during the 1999 crisis in Kosovo. In a three-month period, from March through May 1999, Albania received, accommodated, and cared for 479,223 officially registered refugees from Kosovo (FR Yugoslavia). Many foreign governmental and nongovernmental organizations helped the Albanian government during the crisis. The Government cooperated with the organizations through Government Commission, which appointed a Special Coordinator to the Emergency Management Group that coordinated factors and actions in the field. A Health Desk was established by the Emergency Management Group to provide all overview of the health impact of the crisis upon refugees and domestic Albanian population. There were no serious outbreaks of infectious diseases, but the Health Desk registered 2,165 cases of diarrhea without and 14 cases of diarrhea with blood in the stool. Scabies and lice affected around 4% of the refugees. After the refugees returned to Kosovo, Emergency Management Group continued to coordinate the work oil the rehabilitation of the refugee-affected areas. in this phase, humanitarian emergency work served as a bridge between emergency activities and normal 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:
Q1 = [1];
Q2 = [4];
Q3 = [2];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs17852 | gen.2002.39406982 | Management of refugee crisis in Albania during the 1999 Kosovo conflict | The report presents key data on Kosovo refugees in Albania during the 1999 crisis in Kosovo. In a three-month period, from March through May 1999, Albania received, accommodated, and cared for 479,223 officially registered refugees from Kosovo (FR Yugoslavia). Many foreign governmental and nongovernmental organizations helped the Albanian government during the crisis. The Government cooperated with the organizations through Government Commission, which appointed a Special Coordinator to the Emergency Management Group that coordinated factors and actions in the field. A Health Desk was established by the Emergency Management Group to provide all overview of the health impact of the crisis upon refugees and domestic Albanian population. There were no serious outbreaks of infectious diseases, but the Health Desk registered 2,165 cases of diarrhea without and 14 cases of diarrhea with blood in the stool. Scabies and lice affected around 4% of the refugees. After the refugees returned to Kosovo, Emergency Management Group continued to coordinate the work oil the rehabilitation of the refugee-affected areas. in this phase, humanitarian emergency work served as a bridge between emergency activities and normal 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:"Venues and Filters in Managed Migration Policy: The Case of the United Kingdom."
Abstract:"The United Kingdom, like many developed world economies, has witnessed unprecedented immigration since the early 1990s. Also in line with other developed world economies, the United Kingdom has adopted a managed migration policy paradigm. The paper argues that the operation of this paradigm is best understood with reference to two key concepts: migration policy venues and migration policy filters. In terms of the former, the paper argues that managed migration policy is associated with outward, upward, and downward rescaling and commensurate venue growth and diversification. In terms of the latter, the paper argues that six policy filters (legal, geographical, credential, transfer-based, monetary, and humanitarian) are commonly used to determine legitimate forms of migration but that one (the geographical filter) has been particularly prominent within the United Kingdom's managed migration policy paradigm.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [0]. | abs13553 | 10.1111/imre.12189 | Venues and Filters in Managed Migration Policy: The Case of the United Kingdom | The United Kingdom, like many developed world economies, has witnessed unprecedented immigration since the early 1990s. Also in line with other developed world economies, the United Kingdom has adopted a managed migration policy paradigm. The paper argues that the operation of this paradigm is best understood with reference to two key concepts: migration policy venues and migration policy filters. In terms of the former, the paper argues that managed migration policy is associated with outward, upward, and downward rescaling and commensurate venue growth and diversification. In terms of the latter, the paper argues that six policy filters (legal, geographical, credential, transfer-based, monetary, and humanitarian) are commonly used to determine legitimate forms of migration but that one (the geographical filter) has been particularly prominent within the United Kingdom's managed migration policy paradigm. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 complex life course of mobility: Quantitative description of 300,000 residential moves in 1850-1950 Netherlands."
Abstract:"Mobility is a major mechanism of human adaptation, both in the deep past and in the present. Decades of research in the human evolutionary sciences have elucidated how much, how and when individuals and groups move in response to their ecology. Prior research has focused on small-scale subsistence societies, often in marginal environments and yielding small samples. Yet adaptive movement is commonplace across human societies, providing an opportunity to study human mobility more broadly. We provide a detailed, life-course structured demonstration, describing the residential mobility system of a historical population living between 1850 and 1950 in the industrialising Netherlands. We focus on how moves are patterned over the lifespan, attending to individual variation and stratifying our analyses by gender. We conclude that this population was not stationary: the median total moves in a lifetime were 10, with a wide range of variation and an uneven distribution over the life course. Mobility peaks in early adulthood (age 20-30) in this population, and this peak is consistent in all the studied cohorts, and both genders. Mobile populations in sedentary settlements provide a productive avenue for research on adaptive mobility and its relationship to human life history, and historical databases are useful for addressing evolutionarily motivated questions.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs13681 | 10.1017/ehs.2022.33 | The complex life course of mobility: Quantitative description of 300,000 residential moves in 1850-1950 Netherlands | Mobility is a major mechanism of human adaptation, both in the deep past and in the present. Decades of research in the human evolutionary sciences have elucidated how much, how and when individuals and groups move in response to their ecology. Prior research has focused on small-scale subsistence societies, often in marginal environments and yielding small samples. Yet adaptive movement is commonplace across human societies, providing an opportunity to study human mobility more broadly. We provide a detailed, life-course structured demonstration, describing the residential mobility system of a historical population living between 1850 and 1950 in the industrialising Netherlands. We focus on how moves are patterned over the lifespan, attending to individual variation and stratifying our analyses by gender. We conclude that this population was not stationary: the median total moves in a lifetime were 10, with a wide range of variation and an uneven distribution over the life course. Mobility peaks in early adulthood (age 20-30) in this population, and this peak is consistent in all the studied cohorts, and both genders. Mobile populations in sedentary settlements provide a productive avenue for research on adaptive mobility and its relationship to human life history, and historical databases are useful for addressing evolutionarily motivated questions. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Science-Policy-Practice Interfaces: Emergent knowledge and monarch butterfly conservation."
Abstract:"We study how knowledge is produced at the intersection of science, environmental policy and public engagement. Based on analysis of monarch butterfly conservation, we critically evaluate models of knowledge production. The monarch butterfly and its migration have engaged science and enchanted people for over a century, and current threats to monarchs catalyze debates and actions. This paper traces the historical development of knowledge regarding (i) long-term monarch population trends, (ii) the monarch's dependence on a particular food plant, the milk-weed, and (iii) the monarch as a pollinator. Our analysis indicates that knowledge production and science-policy-practice interfaces cannot be satisfactorily understood through reference to the classical linear model and more recent conceptions of relationally produced knowledge (i.e. co-production). We identify powerful and sometimes contradictory knowledge claims that emerge from unmediated interactions among scientists, advocates, policy makers and diverse publics. The emergent model complements existing models of knowledge production, thereby expanding the conceptual foundation available for making sense of science-policy-practice interfaces. Copyright (c) 2017 John Wiley & Sons, Ltd and ERP Environment."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
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Q6 = [0]. | abs02512 | 10.1002/eet.1792 | Science-Policy-Practice Interfaces: Emergent knowledge and monarch butterfly conservation | We study how knowledge is produced at the intersection of science, environmental policy and public engagement. Based on analysis of monarch butterfly conservation, we critically evaluate models of knowledge production. The monarch butterfly and its migration have engaged science and enchanted people for over a century, and current threats to monarchs catalyze debates and actions. This paper traces the historical development of knowledge regarding (i) long-term monarch population trends, (ii) the monarch's dependence on a particular food plant, the milk-weed, and (iii) the monarch as a pollinator. Our analysis indicates that knowledge production and science-policy-practice interfaces cannot be satisfactorily understood through reference to the classical linear model and more recent conceptions of relationally produced knowledge (i.e. co-production). We identify powerful and sometimes contradictory knowledge claims that emerge from unmediated interactions among scientists, advocates, policy makers and diverse publics. The emergent model complements existing models of knowledge production, thereby expanding the conceptual foundation available for making sense of science-policy-practice interfaces. Copyright (c) 2017 John Wiley & Sons, Ltd and ERP Environment |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Shifts in global mobility dictate the synchrony of SARS-CoV-2 epidemic waves."
Abstract:"Background Human mobility changed in unprecedented ways during the SARS-CoV-2 pandemic. In March and April 2020, when lockdowns and large travel restrictions began in most countries, global air-travel almost entirely halted (92% decrease in commercial global air travel in the months between February and April 2020). Initial recovery in global air travel started around July 2020 and subsequently nearly tripled between May and July 2021. Here, we aim to establish a preliminary link between global mobility patterns and the synchrony of SARS-CoV-2 epidemic waves across the world. Methods We compare epidemic peaks and human global mobility in two time periods: November 2020 to February 2021 (when just over 70 million passengers travelled) and November 2021 to February 2022 (when more than 200 million passengers travelled). We calculate the time interval during which continental epidemic peaks occurred for both of these time periods, and we calculate the pairwise correlations of epidemic waves between all pairs of countries for the same time periods. Results We find that as air travel increases at the end of 2021, epidemic peaks around the world are more synchronous with one another, both globally and regionally. Continental epidemic peaks occur globally within a 20 day interval at the end of 2021 compared with 73 days at the end of 2020, and epidemic waves globally are more correlated with one another at the end of 2021. Conclusions This suggests that the rebound in human mobility dictates the synchrony of global and regional epidemic waves. In line with theoretical work, we show that in a more connected world, epidemic dynamics are more synchronized.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs17041 | 10.1093/jtm/taac134 | Shifts in global mobility dictate the synchrony of SARS-CoV-2 epidemic waves | Background Human mobility changed in unprecedented ways during the SARS-CoV-2 pandemic. In March and April 2020, when lockdowns and large travel restrictions began in most countries, global air-travel almost entirely halted (92% decrease in commercial global air travel in the months between February and April 2020). Initial recovery in global air travel started around July 2020 and subsequently nearly tripled between May and July 2021. Here, we aim to establish a preliminary link between global mobility patterns and the synchrony of SARS-CoV-2 epidemic waves across the world. Methods We compare epidemic peaks and human global mobility in two time periods: November 2020 to February 2021 (when just over 70 million passengers travelled) and November 2021 to February 2022 (when more than 200 million passengers travelled). We calculate the time interval during which continental epidemic peaks occurred for both of these time periods, and we calculate the pairwise correlations of epidemic waves between all pairs of countries for the same time periods. Results We find that as air travel increases at the end of 2021, epidemic peaks around the world are more synchronous with one another, both globally and regionally. Continental epidemic peaks occur globally within a 20 day interval at the end of 2021 compared with 73 days at the end of 2020, and epidemic waves globally are more correlated with one another at the end of 2021. Conclusions This suggests that the rebound in human mobility dictates the synchrony of global and regional epidemic waves. In line with theoretical work, we show that in a more connected world, epidemic dynamics are more synchronized. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 the connection between temporary migration and the spread of STDs and HIV/AIDS in China."
Abstract:"The link between population mobility and the spread of STDs and HIV/AIDS has been well established in the literature. Migration brings more people into close contact and creates a greater mixing of different population groups, which provides the ready environment for viral transmission. Through the movement of infected persons, migration also provides a vehicle to transport diseases to places where they have been previously unknown. It is also clear, however, that STDs and HIV/AIDS require intimate contact for transmission to occur, and migration may help facilitate this by creating a sub-population that is economically, socially, and geographically marginalized. In this paper we consider these issues theoretically and empirically in the context of contemporary China, which has recently been experiencing a rapid increase in both population mobility and in the prevalence of STDs and HIV/AIDS. Specifically, we explore the proposition that temporary migration in China has created a transient population that is inclined toward epidemiologically high-risk behaviours, including intravenous drug use and commercial sex, which render them particularly susceptible to STDs and HIV/AIDS.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs20845 | gen.2005.95262312 | Examining the connection between temporary migration and the spread of STDs and HIV/AIDS in China | The link between population mobility and the spread of STDs and HIV/AIDS has been well established in the literature. Migration brings more people into close contact and creates a greater mixing of different population groups, which provides the ready environment for viral transmission. Through the movement of infected persons, migration also provides a vehicle to transport diseases to places where they have been previously unknown. It is also clear, however, that STDs and HIV/AIDS require intimate contact for transmission to occur, and migration may help facilitate this by creating a sub-population that is economically, socially, and geographically marginalized. In this paper we consider these issues theoretically and empirically in the context of contemporary China, which has recently been experiencing a rapid increase in both population mobility and in the prevalence of STDs and HIV/AIDS. Specifically, we explore the proposition that temporary migration in China has created a transient population that is inclined toward epidemiologically high-risk behaviours, including intravenous drug use and commercial sex, which render them particularly susceptible to STDs and HIV/AIDS. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"CREATING CONDITIONS FOR STUDENTS TO FLOURISH: A CASE STUDY OF CAPABILITIES DEVELOPED THROUGH A NON-FORMAL LEARNING COMMUNITY IN A COLLEGIATE UNIVERSITY."
Abstract:"It is widely acknowledged that higher education offers great opportunities for students to develop as learners, as future employees and as citizens. Much of this learning and development takes place outside the structures of the formal classroom and yet there is little evidence about the ways that these spaces may best create conditions for students to develop their capabilities and interests, and flourish as positive members of a just society. Universities are in a position to provide the enabling spaces and conditions for development and learning in the way that individuals cannot do alone (Walker, 2006: 37), and this research seeks to explore ways that non-formal spaces can create conditions for such learning to occur. A new learning community has been set up within one university college with a focus on learning about and engaging with issues related to international development and human rights. Learning communities are structured with the purpose of encouraging students to connect ideas from different disciplines and of creating long-term, sustained social interactions (Zhao and Kuh, 2004). This learning project aims provide participative and critical learning opportunities for a core group of approximately ten students, and considers student development based on a holistic concept of areas of life that a student has reason to value. Since this differs depending on the interests and ambitions of the student, the project is necessarily student led, but support is provided to students to ensure equality of opportunity to participate. Non-formal (i.e. non-credit bearing and optional), interdisciplinary workshops are run for students who sign up to the community and networking events to facilitate links with international organisations, human rights activists and local refugee groups to help the students self-organise and lead events and activities for further learning. The research looks at the ways that the project develops students' capabilities, defined as their sense of agency and their freedom to achieve well-being (Sen, 1992: 48). In an ever more competitive market, universities are increasingly interested in what they can offer to the student experience in addition to classroom teaching. Often the focus is on employability, understood narrowly as a 'checklist' of skills perceived to be of value to prospective employers. Here we explore broader areas of value that contribute to students' well-being and how these might impact on their experience of university and their freedom to make a positive contribution to society beyond university. In particular we focus on the way students engage with social justice issues through the project, and consider the ways they become involved with issues of global importance and how they interpret their freedom to act, participate and contribute in a more just society, through consideration of their perceptions of changes in their capabilities. In this paper I report on the development of capabilities tha."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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 = [];
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Q6 = [0]. | abs15266 | 10.6035/Kult-ur.2015.2.3.12 | CREATING CONDITIONS FOR STUDENTS TO FLOURISH: A CASE STUDY OF CAPABILITIES DEVELOPED THROUGH A NON-FORMAL LEARNING COMMUNITY IN A COLLEGIATE UNIVERSITY | It is widely acknowledged that higher education offers great opportunities for students to develop as learners, as future employees and as citizens. Much of this learning and development takes place outside the structures of the formal classroom and yet there is little evidence about the ways that these spaces may best create conditions for students to develop their capabilities and interests, and flourish as positive members of a just society. Universities are in a position to provide the enabling spaces and conditions for development and learning in the way that individuals cannot do alone (Walker, 2006: 37), and this research seeks to explore ways that non-formal spaces can create conditions for such learning to occur. A new learning community has been set up within one university college with a focus on learning about and engaging with issues related to international development and human rights. Learning communities are structured with the purpose of encouraging students to connect ideas from different disciplines and of creating long-term, sustained social interactions (Zhao and Kuh, 2004). This learning project aims provide participative and critical learning opportunities for a core group of approximately ten students, and considers student development based on a holistic concept of areas of life that a student has reason to value. Since this differs depending on the interests and ambitions of the student, the project is necessarily student led, but support is provided to students to ensure equality of opportunity to participate. Non-formal (i.e. non-credit bearing and optional), interdisciplinary workshops are run for students who sign up to the community and networking events to facilitate links with international organisations, human rights activists and local refugee groups to help the students self-organise and lead events and activities for further learning. The research looks at the ways that the project develops students' capabilities, defined as their sense of agency and their freedom to achieve well-being (Sen, 1992: 48). In an ever more competitive market, universities are increasingly interested in what they can offer to the student experience in addition to classroom teaching. Often the focus is on employability, understood narrowly as a 'checklist' of skills perceived to be of value to prospective employers. Here we explore broader areas of value that contribute to students' well-being and how these might impact on their experience of university and their freedom to make a positive contribution to society beyond university. In particular we focus on the way students engage with social justice issues through the project, and consider the ways they become involved with issues of global importance and how they interpret their freedom to act, participate and contribute in a more just society, through consideration of their perceptions of changes in their capabilities. In this paper I report on the development of capabilities that increase students' freedom to achieve well-being and agency, and to participate in issues related to social justice and the learning outcomes for students involved in the learning community in terms of knowledge and understanding, attitudes and transferable skills that may enable them to make a positive contribution to society beyond university. These outcomes have been explored through Sen's capability approach to examine the impact of a learning community from the perspective of what students value. Through observations of the activities the students organise, we attempt to unpick the interpretations of the learning community as a space to learn, consider different attitudes and acquire skills. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Curricular and extracurricular activities of medical students during war, Zagreb University School of Medicine, 1991-1995."
Abstract:"War, as a major human disaster, affects many aspects of life, including medical education. This report describes curricular and extracurricular activities of the students at the Zagreb University School of Medicine during the wars in Croatia and neighboring Bosnia and Herzegovina. Although condensed versions of the curricula were prepared in case of a major breakdown in civilian life, the school maintained the continuity and quality of its curriculum throughout the war. Students engaged in extracurricular activities related to medical aspects of war, including organization of resuscitation and first aid courses, collecting medical documentation on war victims, humanitarian help to refugees, and peace-promoting activities. Some students joined mobile surgical teams on the battlefronts. After army service, most of them returned to the school and successfully continued with their studies. The school also accepted guest-students from other new states emerged from former Yugoslavia. The authors found that the students' engagement in extracurricular activities related to medicine was enormously beneficial both to the psychological well-being of the students and to the region's peace-building 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:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [0]. | abs17910 | 10.1097/00001888-200101000-00022 | Curricular and extracurricular activities of medical students during war, Zagreb University School of Medicine, 1991-1995 | War, as a major human disaster, affects many aspects of life, including medical education. This report describes curricular and extracurricular activities of the students at the Zagreb University School of Medicine during the wars in Croatia and neighboring Bosnia and Herzegovina. Although condensed versions of the curricula were prepared in case of a major breakdown in civilian life, the school maintained the continuity and quality of its curriculum throughout the war. Students engaged in extracurricular activities related to medical aspects of war, including organization of resuscitation and first aid courses, collecting medical documentation on war victims, humanitarian help to refugees, and peace-promoting activities. Some students joined mobile surgical teams on the battlefronts. After army service, most of them returned to the school and successfully continued with their studies. The school also accepted guest-students from other new states emerged from former Yugoslavia. The authors found that the students' engagement in extracurricular activities related to medicine was enormously beneficial both to the psychological well-being of the students and to the region's peace-building 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:"Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints."
Abstract:"Prophylactic interventions such as vaccine allocation are some of the most effective public health policy planning tools. The supply of vaccines, however, is limited and an important challenge is to optimally allocate the vaccines to minimize epidemic impact. This resource allocation question (which we refer to as VaccIntDesign) has multiple dimensions: when, where, to whom, etc. Most of the existing literature in this topic deals with the latter (to whom), proposing policies that prioritize individuals by age and disease risk. However, since seasonal influenza spread has a typical spatial trend, and due to the temporal constraints enforced by the availability schedule, the when and where problems become equally, if not more, relevant. In this paper, we study the VaccIntDesign problem in the context of seasonal influenza spread in the United States. We develop a national scale metapopulation model for influenza that integrates both short and long distance human mobility, along with realistic data on vaccine uptake. We also design GreedyAlloc, a greedy algorithm for allocating the vaccine supply at the state level under temporal constraints and show that such a strategy improves over the current baseline of pro-rata allocation, and the improvement is more pronounced for higher vaccine efficacy and moderate flu season intensity. Further, the resulting strategy resembles a ring vaccination applied spatiallyacross the US.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
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Q5 = [0];
Q6 = [1]. | abs14316 | 10.1371/journal.pcbi.1007111 | Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints | Prophylactic interventions such as vaccine allocation are some of the most effective public health policy planning tools. The supply of vaccines, however, is limited and an important challenge is to optimally allocate the vaccines to minimize epidemic impact. This resource allocation question (which we refer to as VaccIntDesign) has multiple dimensions: when, where, to whom, etc. Most of the existing literature in this topic deals with the latter (to whom), proposing policies that prioritize individuals by age and disease risk. However, since seasonal influenza spread has a typical spatial trend, and due to the temporal constraints enforced by the availability schedule, the when and where problems become equally, if not more, relevant. In this paper, we study the VaccIntDesign problem in the context of seasonal influenza spread in the United States. We develop a national scale metapopulation model for influenza that integrates both short and long distance human mobility, along with realistic data on vaccine uptake. We also design GreedyAlloc, a greedy algorithm for allocating the vaccine supply at the state level under temporal constraints and show that such a strategy improves over the current baseline of pro-rata allocation, and the improvement is more pronounced for higher vaccine efficacy and moderate flu season intensity. Further, the resulting strategy resembles a ring vaccination applied spatiallyacross the US. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Spatio-temporal evolution and influencing mechanism of the COVID-19 epidemic in Shandong province, China."
Abstract:"The novel coronavirus pneumonia (COVID-19) outbreak that emerged in late 2019 has posed a severe threat to human health and social and economic development, and thus has become a major public health crisis affecting the world. The spread of COVID-19 in population and regions is a typical geographical process, which is worth discussing from the geographical perspective. This paper focuses on Shandong province, which has a high incidence, though the first Chinese confirmed case was reported from Hubei province. Based on the data of reported confirmed cases and the detailed information of cases collected manually, we used text analysis, mathematical statistics and spatial analysis to reveal the demographic characteristics of confirmed cases and the spatio-temporal evolution process of the epidemic, and to explore the comprehensive mechanism of epidemic evolution and prevention and control. The results show that: (1) the incidence rate of COVID-19 in Shandong is 0.76/100,000. The majority of confirmed cases are old and middle-aged people who are infected by the intra-province diffusion, followed by young and middle-aged people who are infected outside the province. (2) Up to February 5, the number of daily confirmed cases shows a trend of rapid increase before slowing down, among which, the changes of age and gender are closely related to population migration, epidemic characteristics and intervention measures. (3) Affected by the regional economy and population, the spatial distribution of the confirmed cases is obviously unbalanced, with the cluster pattern of high-low and low-high. (4) The evolution of the migration pattern, affected by the geographical location of Wuhan and Chinese traditional culture, is dominated by cross-provincial and intra-provincial direct flow, and generally shows the trend of southwest -> northeast. Finally, combined with the targeted countermeasures of source-flow-sink, the comprehensive mechanism of COVID-19 epidemic evolution and prevention and control in Shandong is revealed. External and internal prevention and control measures are also figured out.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs01120 | 10.1038/s41598-021-86188-0 | Spatio-temporal evolution and influencing mechanism of the COVID-19 epidemic in Shandong province, China | The novel coronavirus pneumonia (COVID-19) outbreak that emerged in late 2019 has posed a severe threat to human health and social and economic development, and thus has become a major public health crisis affecting the world. The spread of COVID-19 in population and regions is a typical geographical process, which is worth discussing from the geographical perspective. This paper focuses on Shandong province, which has a high incidence, though the first Chinese confirmed case was reported from Hubei province. Based on the data of reported confirmed cases and the detailed information of cases collected manually, we used text analysis, mathematical statistics and spatial analysis to reveal the demographic characteristics of confirmed cases and the spatio-temporal evolution process of the epidemic, and to explore the comprehensive mechanism of epidemic evolution and prevention and control. The results show that: (1) the incidence rate of COVID-19 in Shandong is 0.76/100,000. The majority of confirmed cases are old and middle-aged people who are infected by the intra-province diffusion, followed by young and middle-aged people who are infected outside the province. (2) Up to February 5, the number of daily confirmed cases shows a trend of rapid increase before slowing down, among which, the changes of age and gender are closely related to population migration, epidemic characteristics and intervention measures. (3) Affected by the regional economy and population, the spatial distribution of the confirmed cases is obviously unbalanced, with the cluster pattern of high-low and low-high. (4) The evolution of the migration pattern, affected by the geographical location of Wuhan and Chinese traditional culture, is dominated by cross-provincial and intra-provincial direct flow, and generally shows the trend of southwest -> northeast. Finally, combined with the targeted countermeasures of source-flow-sink, the comprehensive mechanism of COVID-19 epidemic evolution and prevention and control in Shandong is revealed. External and internal prevention and control measures are also figured out. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Migrating fish and mobile knowledge: situated fishers' knowledge and social networks in the lower Mekong River Basin in Thailand, Laos and Cambodia."
Abstract:"Various terms are used to characterize fishers' knowledge. Here we use situated fishers' knowledge to refer to knowledge about long-distance fish migrations held by ethnic Lao fishers living in the Mekong River Basin in northeastern Thailand, southern Laos, and northeastern Cambodia. We consider the mobility of knowledge, humans, and fish, and adopt a theoretical framework based on Actor Network Theory (ANT) and political ecology. Based on fisher interviews, we demonstrate why knowledge transfer related to fish migrations is important. Fishers have various ways of knowing when migratory fish pass certain locations, although those are changing due to borders and technological changes. The paper's main contribution is to move beyond simply investigating human mobilities, and to instead consider the relationships between human, fish and knowledge mobilities, something that ANT is particularly well suited for, due to its focus on multispecies interactions, something that mobilities scholars would benefit from paying more attention to.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs17716 | 10.1080/17450101.2019.1635343 | Migrating fish and mobile knowledge: situated fishers' knowledge and social networks in the lower Mekong River Basin in Thailand, Laos and Cambodia | Various terms are used to characterize fishers' knowledge. Here we use situated fishers' knowledge to refer to knowledge about long-distance fish migrations held by ethnic Lao fishers living in the Mekong River Basin in northeastern Thailand, southern Laos, and northeastern Cambodia. We consider the mobility of knowledge, humans, and fish, and adopt a theoretical framework based on Actor Network Theory (ANT) and political ecology. Based on fisher interviews, we demonstrate why knowledge transfer related to fish migrations is important. Fishers have various ways of knowing when migratory fish pass certain locations, although those are changing due to borders and technological changes. The paper's main contribution is to move beyond simply investigating human mobilities, and to instead consider the relationships between human, fish and knowledge mobilities, something that ANT is particularly well suited for, due to its focus on multispecies interactions, something that mobilities scholars would benefit from paying more attention to. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 Iranian lay people in three ethnic groups conceptualize a case of a depressed woman: an explanatory model."
Abstract:"Objective(s). Although depression is a major public health problem, little is known about lay people's views of this subject in Iran. The aim of this study was to explore how depression in women is viewed among lay people in three major ethnic groups - Kurd, Turk, and Fars. Design. Participants were selected from public urban healthcare centers. Four focus group discussions were conducted for each of the three ethnic groups and classified by level of education from three locations, in the capital city (Tehran), west (Ilam), and the northwest (Tabriz) of Iran. Twelve focus groups; 38 men and 38 women have been conducted by using a case vignette describing a woman with major depression. Results. Depression symptoms were perceived as a temporary phenomenon. It was regarded as a colloquial term for feeling blue, mostly related to external stressors (social model). The common terms used in all ethnic groups were depression, and nerve/soul distress. Environmental cause and war were considered as external causes of the symptoms, and emotional factors, cognition distortion, and biological reasons, as internal factors. The participants believed it was necessary to seek help from religion, family and friends, positive thinking, and distraction from social problems, besides consultations with psychologists as counselors. Medication was often seen as the last resort. Stigma was mentioned as an important factor that makes people avoid visiting psychiatrists. Conclusion. These data may have implications for mental healthcare practice, especially for the approach to diagnosis of depression. Moreover, there is a need for developing and integrating gender-relevant and cultural indicators in the existing national mental health systems in Iran.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs16317 | 10.1080/13557858.2010.488262 | How Iranian lay people in three ethnic groups conceptualize a case of a depressed woman: an explanatory model | Objective(s). Although depression is a major public health problem, little is known about lay people's views of this subject in Iran. The aim of this study was to explore how depression in women is viewed among lay people in three major ethnic groups - Kurd, Turk, and Fars. Design. Participants were selected from public urban healthcare centers. Four focus group discussions were conducted for each of the three ethnic groups and classified by level of education from three locations, in the capital city (Tehran), west (Ilam), and the northwest (Tabriz) of Iran. Twelve focus groups; 38 men and 38 women have been conducted by using a case vignette describing a woman with major depression. Results. Depression symptoms were perceived as a temporary phenomenon. It was regarded as a colloquial term for feeling blue, mostly related to external stressors (social model). The common terms used in all ethnic groups were depression, and nerve/soul distress. Environmental cause and war were considered as external causes of the symptoms, and emotional factors, cognition distortion, and biological reasons, as internal factors. The participants believed it was necessary to seek help from religion, family and friends, positive thinking, and distraction from social problems, besides consultations with psychologists as counselors. Medication was often seen as the last resort. Stigma was mentioned as an important factor that makes people avoid visiting psychiatrists. Conclusion. These data may have implications for mental healthcare practice, especially for the approach to diagnosis of depression. Moreover, there is a need for developing and integrating gender-relevant and cultural indicators in the existing national mental health systems in Iran. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Title 42 and the power to exclude: Asylum seekers and the denial of entry into the United States."
Abstract:"Debates to secure the border have often dominated immigration legislation. Since the COVID-19 pandemic began, this rhetoric has intensified with the use of the Title 42 program to expel asylum seekers without hearing the merits of their case. This article outlines how the Title 42 policy has exacerbated dangerous border crossings while advancing discriminatory policies which disproportionately affect non-White asylum seekers. Using the framework of Critical Race Theory, this article examines the impact(s) of race, ethnicity, and nationality within the immigration bureaucracy. It suggests that race neutral polices in immigration perpetuate racial subordination and exclusion for immigrants racialized as non-White. Intertwined with xenophobia and anti-immigrant bias, this work also suggests that public health rationales have long been used to exclude unfit or unclean migrants due to the fear of contamination and infection. The Title 42 program is a violation of human rights, immigration laws, and stipulations in the United Nations Charter which prohibits refugees from being expelled to countries where their lives or freedoms are threatened.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [0]. | abs05338 | 10.1111/polp.12542 | Title 42 and the power to exclude: Asylum seekers and the denial of entry into the United States | Debates to secure the border have often dominated immigration legislation. Since the COVID-19 pandemic began, this rhetoric has intensified with the use of the Title 42 program to expel asylum seekers without hearing the merits of their case. This article outlines how the Title 42 policy has exacerbated dangerous border crossings while advancing discriminatory policies which disproportionately affect non-White asylum seekers. Using the framework of Critical Race Theory, this article examines the impact(s) of race, ethnicity, and nationality within the immigration bureaucracy. It suggests that race neutral polices in immigration perpetuate racial subordination and exclusion for immigrants racialized as non-White. Intertwined with xenophobia and anti-immigrant bias, this work also suggests that public health rationales have long been used to exclude unfit or unclean migrants due to the fear of contamination and infection. The Title 42 program is a violation of human rights, immigration laws, and stipulations in the United Nations Charter which prohibits refugees from being expelled to countries where their lives or freedoms are threatened. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 Fringes of Aid: Humanitarian Organisations and Sudanese Refugees in the Democratic Republic of Congo, 1966-1972."
Abstract:"Thousands of Southern Sudanese refugees fled southward into the Orientale province of the Democratic Republic of Congo in the late 196os. This article examines the challenges posed by fragmentary archival sources from humanitarian organisations, and a small number of interviews, for understanding the actions of Sudanese refugees as they entered a province already battered by civil war. Expatriate staff struggled to negotiate with the Congolese and Sudanese governments, who both wanted to limit the threat of rebels. Furthermore, the particular goals and recordkeeping methods of humanitarian organisations post major challenges for interpreting the sources. However, oral testimonies of former aid workers and refugees demonstrate that Sudanese refugees did clearly shape their journeys and how they negotiated with refugee assistance programmes. This article thus offers new perspectives for researchers on the value and pitfalls of various individual humanitarian agency records.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs08420 | 10.1163/23519924-09010001 | On the Fringes of Aid: Humanitarian Organisations and Sudanese Refugees in the Democratic Republic of Congo, 1966-1972 | Thousands of Southern Sudanese refugees fled southward into the Orientale province of the Democratic Republic of Congo in the late 196os. This article examines the challenges posed by fragmentary archival sources from humanitarian organisations, and a small number of interviews, for understanding the actions of Sudanese refugees as they entered a province already battered by civil war. Expatriate staff struggled to negotiate with the Congolese and Sudanese governments, who both wanted to limit the threat of rebels. Furthermore, the particular goals and recordkeeping methods of humanitarian organisations post major challenges for interpreting the sources. However, oral testimonies of former aid workers and refugees demonstrate that Sudanese refugees did clearly shape their journeys and how they negotiated with refugee assistance programmes. This article thus offers new perspectives for researchers on the value and pitfalls of various individual humanitarian agency records. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Monsoon Precipitation, Economy and Wars in Ancient China."
Abstract:"Northern China, particularly the Yellow River Basin, which is the birth place of Chinese civilization and has been the political center throughout most of China's history, is an ideal region for studying the response of human activities to climate change. However, studies on links between climate change and variations in earlier civilization are limited due to the scarcity of macroscale monsoon precipitation records. In the present study, a similar to 4,000-year record of monsoon precipitation, which represents average rainfall in large areas in northern China, was reconstructed from sediments in Northern Yellow Sea Mud (NYSM). The record shows high monsoon precipitation during similar to 4,000-2,500 BP, similar to 1,350-750 BP and the past similar to 250 years. In general, our record of monsoon precipitation exhibits trends similar to the percentages of planted Poaceae pollen in lake sediments and the Chinese economic index, contrasting with the frequency of wars over the past 2,000 years. We postulated that, in the agricultural society of ancient China, low monsoon precipitation in northern China may be an important factor that cause reduced agricultural production, declined economy and even the occurrence of wars.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs06613 | 10.3389/feart.2020.00317 | Monsoon Precipitation, Economy and Wars in Ancient China | Northern China, particularly the Yellow River Basin, which is the birth place of Chinese civilization and has been the political center throughout most of China's history, is an ideal region for studying the response of human activities to climate change. However, studies on links between climate change and variations in earlier civilization are limited due to the scarcity of macroscale monsoon precipitation records. In the present study, a similar to 4,000-year record of monsoon precipitation, which represents average rainfall in large areas in northern China, was reconstructed from sediments in Northern Yellow Sea Mud (NYSM). The record shows high monsoon precipitation during similar to 4,000-2,500 BP, similar to 1,350-750 BP and the past similar to 250 years. In general, our record of monsoon precipitation exhibits trends similar to the percentages of planted Poaceae pollen in lake sediments and the Chinese economic index, contrasting with the frequency of wars over the past 2,000 years. We postulated that, in the agricultural society of ancient China, low monsoon precipitation in northern China may be an important factor that cause reduced agricultural production, declined economy and even the occurrence of wars. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 changing epidemiology of hepatitis C virus infection in the United States: National health and nutrition examination survey 2001 through 2010."
Abstract:"Background & Aims: In light of the dramatically changing hepatitis C therapeutic landscape, knowledge of the current burden of HCV infection in the general population of the United States is critical. Methods: The National Health and Nutrition Examination survey collects nationally representative data on HCV infection in the civilian population of the United States. Data from 2001 to 2010 were combined for this study. HCV testing was completed in 38,025 participants. Results: The prevalence of anti-HCV in the United Sates decreased from 1.9% (95% CI 1.5%-2.5%) in 2001-2002 to 1.3% (95% CI 0.9%-1.8%) in 2005-2006, and remained stable up to 2010. About 67% of all infected persons were positive for HCV RNA, indicating 2.3 million people with chronic HCV infection, of whom 68% have genotype 1. Seventy percent of infected persons were born between 1945 and 1965, with prevalence of 3.5% (95% CI 2.2%-4.8%). The stable rate since 2006 is mostly related to prevalent cases and foreign born persons migrating into US. Other important risk factors include less education and low economic status. Race, HIV status, number of sexual partners, and blood transfusions are no longer associated with HCV infection. Conclusions: As of 2010, approximately 2.3 million persons were chronically infected with Hepatitis C in the US. Most of those infected are prevalent, rather than incident cases. The prevalence of HCV was on the decline, but has stabilized since 2006. Future studies should explore reasons for no decline in HCV prevalence since 2006. (C) 2013 European Association for the Study of the Liver. Published by Elsevier B. V. 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 = [0];
Q6 = [1]. | abs03377 | 10.1016/j.jhep.2013.11.014 | The changing epidemiology of hepatitis C virus infection in the United States: National health and nutrition examination survey 2001 through 2010 | Background & Aims: In light of the dramatically changing hepatitis C therapeutic landscape, knowledge of the current burden of HCV infection in the general population of the United States is critical. Methods: The National Health and Nutrition Examination survey collects nationally representative data on HCV infection in the civilian population of the United States. Data from 2001 to 2010 were combined for this study. HCV testing was completed in 38,025 participants. Results: The prevalence of anti-HCV in the United Sates decreased from 1.9% (95% CI 1.5%-2.5%) in 2001-2002 to 1.3% (95% CI 0.9%-1.8%) in 2005-2006, and remained stable up to 2010. About 67% of all infected persons were positive for HCV RNA, indicating 2.3 million people with chronic HCV infection, of whom 68% have genotype 1. Seventy percent of infected persons were born between 1945 and 1965, with prevalence of 3.5% (95% CI 2.2%-4.8%). The stable rate since 2006 is mostly related to prevalent cases and foreign born persons migrating into US. Other important risk factors include less education and low economic status. Race, HIV status, number of sexual partners, and blood transfusions are no longer associated with HCV infection. Conclusions: As of 2010, approximately 2.3 million persons were chronically infected with Hepatitis C in the US. Most of those infected are prevalent, rather than incident cases. The prevalence of HCV was on the decline, but has stabilized since 2006. Future studies should explore reasons for no decline in HCV prevalence since 2006. (C) 2013 European Association for the Study of the Liver. Published by Elsevier B. V. 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:"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 HIV Epidemic in Eastern Europe and Central Asia."
Abstract:"Eastern Europe and Central Asia represent one of the few regions globally where there is a continued increase in the incidence of HIV infection. For example, in Eastern Europe the rate of diagnosed cases of HIV infection per 100 000 population has increased from 11.7 in 2004 to 22.5 in 2011. Initially propelled by injection drug use, heterosexual transmission has now become a major driver of new infections in the region. Nonetheless substance use remains an important factor, with its control limited by challenges in scaling up harm reduction efforts. While most countries have implemented opioid substitution therapy programs, their scale remains very limited. Similarly, coverage of needles syringe programs across the region is variable. Complicating the control of HIV has been the emergence of non-injection drugs and inadequate access to antiretroviral therapy. In addition, structural barriers and stigma toward HIV infected people may contribute to the high proportion of late presentations for HIV care. Finally in the wake of the HIV epidemic, high rates of hepatitis C infection and tuberculosis have been noted.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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 = [0]. | abs03342 | 10.1007/s11904-014-0202-3 | The HIV Epidemic in Eastern Europe and Central Asia | Eastern Europe and Central Asia represent one of the few regions globally where there is a continued increase in the incidence of HIV infection. For example, in Eastern Europe the rate of diagnosed cases of HIV infection per 100 000 population has increased from 11.7 in 2004 to 22.5 in 2011. Initially propelled by injection drug use, heterosexual transmission has now become a major driver of new infections in the region. Nonetheless substance use remains an important factor, with its control limited by challenges in scaling up harm reduction efforts. While most countries have implemented opioid substitution therapy programs, their scale remains very limited. Similarly, coverage of needles syringe programs across the region is variable. Complicating the control of HIV has been the emergence of non-injection drugs and inadequate access to antiretroviral therapy. In addition, structural barriers and stigma toward HIV infected people may contribute to the high proportion of late presentations for HIV care. Finally in the wake of the HIV epidemic, high rates of hepatitis C infection and tuberculosis have been noted. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 public health information in assistance to populations living in opposition and contested areas of Syria, 2012-2014."
Abstract:"Background: The Syrian armed conflict is the worst humanitarian tragedy this century. With approximately 470,000 deaths and more than 13 million people displaced, the conflict continues to have a devastating impact on the health system and health outcomes within the country. Hundreds of international and national non-governmental organisations, as well as United Nations agencies have responded to the humanitarian crisis in Syria. While there has been significant attention on the challenges of meeting health needs of Syrian refugees in neighbouring countries such as Jordan, Lebanon and Turkey, very little has been documented about the humanitarian challenges within Syria, between 2013 and 2014 when non-governmental organisations operated in Syria with very little United Nations support or leadership, particularly around obtaining information to guide health responses in Syria. Methods: In this study, we draw on our operational experience in Syria and analyse data collected for the humanitarian health response in contested and opposition-held areas of Syria in 2013-4 from Turkey, where the largest humanitarian operation for Syria was based. This is combined with academic literature and material from open-access reports. Results: Humanitarian needs have consistently been most acute in contested and opposition-held areas of Syria due to break-down of Government of Syria services and intense warfare. Humanitarian organisations had to establish de novo data collection systems independent of the Government of Syria to provide essential services in opposition-held and contested areas of Syria. The use of technology such as social media was vital to facilitating remote data collection in Syria as many humanitarian agencies operated with a limited operational visibility given chronic levels of insecurity. Mortality data have been highly politicized and extremely difficult to verify, particularly in areas highly affected by the conflict, with shifting frontlines, populations, and allegiances. Conclusions: More investment in data collection and use, technological investment in the use of M- and E-health, capacity building and strong technical and independent leadership should be a key priority for the humanitarian health response in Syria and other emergencies. Much more attention should be also given for the treatment gap for non-communicable diseases including mental disorders.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs21297 | 10.1186/s13031-017-0134-9 | The role of public health information in assistance to populations living in opposition and contested areas of Syria, 2012-2014 | Background: The Syrian armed conflict is the worst humanitarian tragedy this century. With approximately 470,000 deaths and more than 13 million people displaced, the conflict continues to have a devastating impact on the health system and health outcomes within the country. Hundreds of international and national non-governmental organisations, as well as United Nations agencies have responded to the humanitarian crisis in Syria. While there has been significant attention on the challenges of meeting health needs of Syrian refugees in neighbouring countries such as Jordan, Lebanon and Turkey, very little has been documented about the humanitarian challenges within Syria, between 2013 and 2014 when non-governmental organisations operated in Syria with very little United Nations support or leadership, particularly around obtaining information to guide health responses in Syria. Methods: In this study, we draw on our operational experience in Syria and analyse data collected for the humanitarian health response in contested and opposition-held areas of Syria in 2013-4 from Turkey, where the largest humanitarian operation for Syria was based. This is combined with academic literature and material from open-access reports. Results: Humanitarian needs have consistently been most acute in contested and opposition-held areas of Syria due to break-down of Government of Syria services and intense warfare. Humanitarian organisations had to establish de novo data collection systems independent of the Government of Syria to provide essential services in opposition-held and contested areas of Syria. The use of technology such as social media was vital to facilitating remote data collection in Syria as many humanitarian agencies operated with a limited operational visibility given chronic levels of insecurity. Mortality data have been highly politicized and extremely difficult to verify, particularly in areas highly affected by the conflict, with shifting frontlines, populations, and allegiances. Conclusions: More investment in data collection and use, technological investment in the use of M- and E-health, capacity building and strong technical and independent leadership should be a key priority for the humanitarian health response in Syria and other emergencies. Much more attention should be also given for the treatment gap for non-communicable diseases including mental disorders. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Party affiliation and support for Muslim newcomers: masked opposition in the Norwegian context."
Abstract:"This work considers how anti-immigrant sentiment is selectively revealed, offering a new perspective on the role stigma plays in defining the political mainstream. By way of a survey experiment in Norway, we measure the gap between what people express and the beliefs they hold anonymously, assessing how supporters of distinct political parties situationally conform to expectations about the expression of intolerance. Using three frames, we contrast attitudes toward immigrants, refugees and more general types of new entrants to Norway. We conclude that the intolerance is more widespread than openly expressed sentiment would suggest due to the systematic masking of targeted opposition to Muslim newcomers. Covert expression, under conditions of absolute and permanent anonymity, demonstrate hardened sentiment among the mainstream right. In other words, a large shift in covert attitudes is best understood as a shift in deference to norms about the expression of targeted bias - in this case toward Muslim newcomers - rather than a large change in underlying, anonymously expressed attitudes.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [1];
Q6 = [0]. | abs11704 | 10.1080/14616696.2020.1765405 | Party affiliation and support for Muslim newcomers: masked opposition in the Norwegian context | This work considers how anti-immigrant sentiment is selectively revealed, offering a new perspective on the role stigma plays in defining the political mainstream. By way of a survey experiment in Norway, we measure the gap between what people express and the beliefs they hold anonymously, assessing how supporters of distinct political parties situationally conform to expectations about the expression of intolerance. Using three frames, we contrast attitudes toward immigrants, refugees and more general types of new entrants to Norway. We conclude that the intolerance is more widespread than openly expressed sentiment would suggest due to the systematic masking of targeted opposition to Muslim newcomers. Covert expression, under conditions of absolute and permanent anonymity, demonstrate hardened sentiment among the mainstream right. In other words, a large shift in covert attitudes is best understood as a shift in deference to norms about the expression of targeted bias - in this case toward Muslim newcomers - rather than a large change in underlying, anonymously expressed attitudes. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 afraid create the fear: perceptions of refugees by 'gun' groups in Turkey."
Abstract:"This study investigates the perceptions of the local female population towards displaced Syrians in Turkey. The research is based on the analysis of data from participant observation and discourse analysis of conversations in five 'gun' groups, which are informal, social, and fairly regular gatherings of local women, in Mersin in Spring 2018. Five common discursive patterns are identified: stereotyping, biased perceptions, 'us' vs. 'them', scapegoating, and discrimination. We conclude that local women's discourses reveal marginalisation and discursive exclusion of displaced Syrians in Turkey, and argue that such othering originates not only from existing cultural differences, language barriers, and lack of trust, but also from lack of sustained social interaction between these groups. Further studies should facilitate both knowledge sharing about the additional vulnerabilities such attitudes create for displaced people and potential paths for meaningful engagement between local community members and forcibly displaced 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];
Q3 = [1];
Q4 = [0];
Q5 = [1];
Q6 = [0]. | abs21222 | 10.1080/1070289X.2020.1723311 | The afraid create the fear: perceptions of refugees by 'gun' groups in Turkey | This study investigates the perceptions of the local female population towards displaced Syrians in Turkey. The research is based on the analysis of data from participant observation and discourse analysis of conversations in five 'gun' groups, which are informal, social, and fairly regular gatherings of local women, in Mersin in Spring 2018. Five common discursive patterns are identified: stereotyping, biased perceptions, 'us' vs. 'them', scapegoating, and discrimination. We conclude that local women's discourses reveal marginalisation and discursive exclusion of displaced Syrians in Turkey, and argue that such othering originates not only from existing cultural differences, language barriers, and lack of trust, but also from lack of sustained social interaction between these groups. Further studies should facilitate both knowledge sharing about the additional vulnerabilities such attitudes create for displaced people and potential paths for meaningful engagement between local community members and forcibly displaced 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:"Caught in a Web of Multiple Jeopardy: Post-Traumatic Stress Disorder and HIV-Positive Asylum Seekers in Scotland."
Abstract:"Many HIV-positive asylum seekers have experienced multiple traumas and human rights violations-circumstances that engender posttraumatic stress disorder (PTSD). This qualitative study examines the impact of PTSD symptoms among HIV-positive asylum seekers in Scotland. Data were collected from 19 participants, using open-ended interviews, and narrative analysis was used to develop significant themes. All respondents had significant traumatic experiences, such as physical and sexual assault, witnessing the beating and death of a loved one, and being forced to participate in the sex trade. Many experienced multiple symptoms of PTSD, including re-experiencing of intrusive thoughts, flashbacks, avoidance, and arousal. These symptoms met the duration and impairment requirements for DSM-5 diagnosis of PTSD. Their symptoms impacted their ability to tell their stories convincingly when interviewed by immigration officials. Legal processes for asylum seeking require individuals to tell their stories but ignore the impact of trauma on their ability to do so, thus increasing the likelihood of their applications being rejected. The findings indicate the need for asylum seekers to have routine assessment and treatment for PTSD and the provision of appropriate therapeutic and advocacy services.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [0];
Q6 = [0]. | abs07438 | 10.1007/s10615-015-0542-5 | Caught in a Web of Multiple Jeopardy: Post-Traumatic Stress Disorder and HIV-Positive Asylum Seekers in Scotland | Many HIV-positive asylum seekers have experienced multiple traumas and human rights violations-circumstances that engender posttraumatic stress disorder (PTSD). This qualitative study examines the impact of PTSD symptoms among HIV-positive asylum seekers in Scotland. Data were collected from 19 participants, using open-ended interviews, and narrative analysis was used to develop significant themes. All respondents had significant traumatic experiences, such as physical and sexual assault, witnessing the beating and death of a loved one, and being forced to participate in the sex trade. Many experienced multiple symptoms of PTSD, including re-experiencing of intrusive thoughts, flashbacks, avoidance, and arousal. These symptoms met the duration and impairment requirements for DSM-5 diagnosis of PTSD. Their symptoms impacted their ability to tell their stories convincingly when interviewed by immigration officials. Legal processes for asylum seeking require individuals to tell their stories but ignore the impact of trauma on their ability to do so, thus increasing the likelihood of their applications being rejected. The findings indicate the need for asylum seekers to have routine assessment and treatment for PTSD and the provision of appropriate therapeutic and advocacy services. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Mobility Imaginaries of Humanitarian Intervention: Gender, Migration, and Violence along Mexico's Southern Border."
Abstract:"Thousands of Central American women have been displaced from their countries of origin by violence. While the violence committed against them is often portrayed as isolated acts of aggression, women's suffering is also produced and perpetuated by humanitarian interventions that immobilize women in dangerous transit zones. Interventions are then justified by institutional logics that juxtapose women's vulnerability against the threat of their own mobility. This article draws on 14 months of ethnographic fieldwork along the southern Mexico border among migrant women who sought out humanitarian assistance following violent encounters. Central to my argument is the concept of mobility imaginaries, or widely shared social assumptions about how mobility should and can be accessed, by whom, and under what circumstances. Through this framework, I show how gendered mobility biases that underlie institutional logics compound other forms of institutional inequality, which often serves to reproduce, rather than mitigate, root causes of gender-based vulnerability.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs09008 | 10.1111/maq.12716 | Mobility Imaginaries of Humanitarian Intervention: Gender, Migration, and Violence along Mexico's Southern Border | Thousands of Central American women have been displaced from their countries of origin by violence. While the violence committed against them is often portrayed as isolated acts of aggression, women's suffering is also produced and perpetuated by humanitarian interventions that immobilize women in dangerous transit zones. Interventions are then justified by institutional logics that juxtapose women's vulnerability against the threat of their own mobility. This article draws on 14 months of ethnographic fieldwork along the southern Mexico border among migrant women who sought out humanitarian assistance following violent encounters. Central to my argument is the concept of mobility imaginaries, or widely shared social assumptions about how mobility should and can be accessed, by whom, and under what circumstances. Through this framework, I show how gendered mobility biases that underlie institutional logics compound other forms of institutional inequality, which often serves to reproduce, rather than mitigate, root causes of gender-based vulnerability. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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, RACE, AND INTERNATIONAL LAW'S CHOICE BETWEEN ORDER AND JUSTICE."
Abstract:"The resurgence of racist rhetoric and policies concerning people fleeing the war in Ukraine serves as a reminder that the ostensible goals of the 1951 Convention Relating to the Status of Refugees and 1967 Protocol are regularly eschewed by states making decisions about how to allocate grants of asylum. This Essay makes the claim that racial tiering of protection-seekers demonstrates that states use international refugee law to negotiate their national whiteness contracts and to secure racially hegemonic geopolitical ordering.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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 = [1];
Q6 = [0]. | abs05481 | 10.1017/ajil.2022.56 | UKRAINIAN REFUGEES, RACE, AND INTERNATIONAL LAW'S CHOICE BETWEEN ORDER AND JUSTICE | The resurgence of racist rhetoric and policies concerning people fleeing the war in Ukraine serves as a reminder that the ostensible goals of the 1951 Convention Relating to the Status of Refugees and 1967 Protocol are regularly eschewed by states making decisions about how to allocate grants of asylum. This Essay makes the claim that racial tiering of protection-seekers demonstrates that states use international refugee law to negotiate their national whiteness contracts and to secure racially hegemonic geopolitical ordering. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Dynamics of the population and dynamics of the memory of an alpine community on the border."
Abstract:"The aim of this contribution is to correlate the demographic dynamics that can be observed in the Alps area, with those of management, transmission and valorisation of the local historical memory; in particular, this work focuses on the Piedmont town of Macugnaga, where an ethnographic research was conducted. Moving from the main theoretical, demographic and geographic proposals that concern the phenomena of repopulation of the alpine area, and from anthropological reflections on the subject of memory, there arose the need for a dialogue between the two perspectives and to adopt a multi-level method that would integrate the macro approach of demographic reconstructions with the ground level approach of ethnography. The increasing number of new inhabitants in the Alps raises the question of who could legitimately call themselves mountain dwellers and how these dynamics of belonging manifest themselves. One of the most significant ways in which belonging to the community is expressed, is through the participation in the management and transmission of the local historical memory. It will be shown how in this case study, the history of the community, characterised by early immigration movements, gave rise to the coexistence of different transmissible memories that concern different aspects of the local history. In addition, the current composition of the population is characterised by the simultaneous presence of people who express different and varied ways of living in the mountains.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs03592 | gen.2013.2793431 | Dynamics of the population and dynamics of the memory of an alpine community on the border | The aim of this contribution is to correlate the demographic dynamics that can be observed in the Alps area, with those of management, transmission and valorisation of the local historical memory; in particular, this work focuses on the Piedmont town of Macugnaga, where an ethnographic research was conducted. Moving from the main theoretical, demographic and geographic proposals that concern the phenomena of repopulation of the alpine area, and from anthropological reflections on the subject of memory, there arose the need for a dialogue between the two perspectives and to adopt a multi-level method that would integrate the macro approach of demographic reconstructions with the ground level approach of ethnography. The increasing number of new inhabitants in the Alps raises the question of who could legitimately call themselves mountain dwellers and how these dynamics of belonging manifest themselves. One of the most significant ways in which belonging to the community is expressed, is through the participation in the management and transmission of the local historical memory. It will be shown how in this case study, the history of the community, characterised by early immigration movements, gave rise to the coexistence of different transmissible memories that concern different aspects of the local history. In addition, the current composition of the population is characterised by the simultaneous presence of people who express different and varied ways of living in the mountains. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Graphic Art in Frente Popular and Espana Libre: Worker Contributors Articulate Antifascism."
Abstract:"A confederation of worker associations called Sociedades Hispanas Confederadas, or SHC, published the New York periodicals Frente Popular (1936-1939) and Espana Libre (1939-1977). The digital project Fighting Fascist Spain-The Exhibits interprets these periodicals' anti-fascist graphic art and highlights common peoples' contributions to the good fight. Three open-source online exhibits are devoted to the draw-ings of three workers: Francisco G. Algibay Couto (1901-1975), Francis-co Huerta (unknown-1944), and Julian Gamoneda YO (1900-unknown). Without the need of translations, their art effectively shared concern for refugees abroad and denounced the fascist social cleansing in Spain with dramatic contrasting of lights and dark shadings. Their contributions to peace and solidarity helped build antifascist culture in the United States.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs08541 | gen.2023.33831103 | Graphic Art in Frente Popular and Espana Libre: Worker Contributors Articulate Antifascism | A confederation of worker associations called Sociedades Hispanas Confederadas, or SHC, published the New York periodicals Frente Popular (1936-1939) and Espana Libre (1939-1977). The digital project Fighting Fascist Spain-The Exhibits interprets these periodicals' anti-fascist graphic art and highlights common peoples' contributions to the good fight. Three open-source online exhibits are devoted to the draw-ings of three workers: Francisco G. Algibay Couto (1901-1975), Francis-co Huerta (unknown-1944), and Julian Gamoneda YO (1900-unknown). Without the need of translations, their art effectively shared concern for refugees abroad and denounced the fascist social cleansing in Spain with dramatic contrasting of lights and dark shadings. Their contributions to peace and solidarity helped build antifascist culture in the United States. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 Migration and Urban Planning System: A Study of Bangladesh."
Abstract:"Amid rising global temperatures and a changing physical environment, climate change has led to the development of a newsocial group called Climate Migrants or Climate Refugees.'' In 1995 approximately 25 million people worldwide were considered to be environment or climate refugees; it is anticipated that this number will increase to 200 million by 2050. Over the last decade rising sea levels, tropical cyclones, flash floods, soil salinity, and river erosion have emerged as the environmental or climatic push factors that have forced highly exposed and vulnerable coastal communities to migrate. In most cases people abandoned their settlements in rural and coastal areas and moved to towns and cities. Such push factors lead to chaotic and overwhelming levels of urbanization with attendant congestion, poor housing, and pollution choking urban areas. Planning systems in developing countries like Bangladesh have found it difficult to accommodate climate change-related migration and uncontrolled urbanization. Climate change is a major challenge for most coastal countries and this issue has to be addressed at various levels of planning including national, regional, and urban contexts. Consequently planning policy and practice need to evolve a vertically integrated decision-making framework linking national, regional, and local planning to address climate migration.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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 = [15,22,26,28,33,39];
Q5 = [1];
Q6 = [0]. | abs16024 | 10.1089/env.2011.0005 | Climate Migration and Urban Planning System: A Study of Bangladesh | Amid rising global temperatures and a changing physical environment, climate change has led to the development of a newsocial group called Climate Migrants or Climate Refugees.'' In 1995 approximately 25 million people worldwide were considered to be environment or climate refugees; it is anticipated that this number will increase to 200 million by 2050. Over the last decade rising sea levels, tropical cyclones, flash floods, soil salinity, and river erosion have emerged as the environmental or climatic push factors that have forced highly exposed and vulnerable coastal communities to migrate. In most cases people abandoned their settlements in rural and coastal areas and moved to towns and cities. Such push factors lead to chaotic and overwhelming levels of urbanization with attendant congestion, poor housing, and pollution choking urban areas. Planning systems in developing countries like Bangladesh have found it difficult to accommodate climate change-related migration and uncontrolled urbanization. Climate change is a major challenge for most coastal countries and this issue has to be addressed at various levels of planning including national, regional, and urban contexts. Consequently planning policy and practice need to evolve a vertically integrated decision-making framework linking national, regional, and local planning to address climate migration. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"International migration, diversity and urban governance in cities of the South."
Abstract:"One of the new challenges globalization raises to urban management is the increasing number of international migrants moving to cities of developing countries and their impact on urban governance. Although there is growing perception that urban cultural diversity is a desirable outcome of globalization, most international migrants add to the low-income population and are particularly affected by urban exclusion. Furthermore, local governments in developing countries are seldom prepared to cope with the ad hoc policies needed to integrate people with different cultural, social and religious traditions into the urban society. Such policies should aim to encourage mobility and temporary vs. permanent migration, strengthen civic identity, deal with the cultural differences and the resulting discriminatory reactions from local residents, promote participation and representation, and fight the social and economic exclusion that often expose migrants to illegal activities contributing to raising urban violence. (c) 2005 Published by Elsevier 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]. | abs20818 | 10.1016/j.habitatint.2005.04.004 | International migration, diversity and urban governance in cities of the South | One of the new challenges globalization raises to urban management is the increasing number of international migrants moving to cities of developing countries and their impact on urban governance. Although there is growing perception that urban cultural diversity is a desirable outcome of globalization, most international migrants add to the low-income population and are particularly affected by urban exclusion. Furthermore, local governments in developing countries are seldom prepared to cope with the ad hoc policies needed to integrate people with different cultural, social and religious traditions into the urban society. Such policies should aim to encourage mobility and temporary vs. permanent migration, strengthen civic identity, deal with the cultural differences and the resulting discriminatory reactions from local residents, promote participation and representation, and fight the social and economic exclusion that often expose migrants to illegal activities contributing to raising urban violence. (c) 2005 Published by Elsevier 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:"Assessing the Civil Society's Role in Refugee Integration in Turkey: NGO-R as a New Typology."
Abstract:"After the Syrian refugee influx in Turkey, the aspect of civil society in integration needs further clarification and categorization. Therefore, in this study, we aim to develop a general typology of NGOs (non-governmental organizations) that are active in immigration and immigration-related areas (NGO-R; non-governmental organizations-refugees). Our findings show that NGO-Rs play crucial roles in helping the refugees to access the rights provided by state, in integrating them into society at the local level by creating new social spaces and in sending humanitarian aid to the people of concern in Syria. Additionally, we claim that the refugee crisis facilitated the opportunities both for active citizenship as demanded and for new mobilization to manage the humanitarian and integration assistance towards the Syrians. Lastly, our fieldwork shows that religious and belief motives are the main factors playing a large part in the creation and maintenance of the NGO-R activities and refugee community organizations (RCOs) can have a distinctive integrative function by preferring to stay outside the mainstream channels.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4];
Q3 = [2];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs12140 | 10.1093/jrs/fey047 | Assessing the Civil Society's Role in Refugee Integration in Turkey: NGO-R as a New Typology | After the Syrian refugee influx in Turkey, the aspect of civil society in integration needs further clarification and categorization. Therefore, in this study, we aim to develop a general typology of NGOs (non-governmental organizations) that are active in immigration and immigration-related areas (NGO-R; non-governmental organizations-refugees). Our findings show that NGO-Rs play crucial roles in helping the refugees to access the rights provided by state, in integrating them into society at the local level by creating new social spaces and in sending humanitarian aid to the people of concern in Syria. Additionally, we claim that the refugee crisis facilitated the opportunities both for active citizenship as demanded and for new mobilization to manage the humanitarian and integration assistance towards the Syrians. Lastly, our fieldwork shows that religious and belief motives are the main factors playing a large part in the creation and maintenance of the NGO-R activities and refugee community organizations (RCOs) can have a distinctive integrative function by preferring to stay outside the mainstream channels. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 and the impacts on refugee settlement in Australia."
Abstract:"In recent years, governments, researchers, non-government organisations, service providers and international institutions have become increasingly concerned with how to best support the settlement of refugees in UNHCR resettlement nations. Anxieties about the formation of a refugee underclass and the intergenerational impacts of social stratification motivate such inquiries. Settlement is often viewed through either of two lenses; the biomedical frame or the social inclusion frame. These frameworks are complementary rather than exclusive. It is from this combined theoretical perspective that this paper explores the impacts of family separation on the settlement of refugees in Australia. Drawing on focus groups and in-depth interviews across three refugee background communities in metropolitan Melbourne, the paper finds that family separation has pervasive impacts on the wellbeing of the participants and on their capacity to participate and direct their own futures. Family separation is found to be a barrier to settlement and therefore a crucial consideration for the design and provision of settlement services to people with 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 = [4,7];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [0]. | abs15799 | 10.1002/j.1839-4655.2013.tb00280.x | Family separation and the impacts on refugee settlement in Australia | In recent years, governments, researchers, non-government organisations, service providers and international institutions have become increasingly concerned with how to best support the settlement of refugees in UNHCR resettlement nations. Anxieties about the formation of a refugee underclass and the intergenerational impacts of social stratification motivate such inquiries. Settlement is often viewed through either of two lenses; the biomedical frame or the social inclusion frame. These frameworks are complementary rather than exclusive. It is from this combined theoretical perspective that this paper explores the impacts of family separation on the settlement of refugees in Australia. Drawing on focus groups and in-depth interviews across three refugee background communities in metropolitan Melbourne, the paper finds that family separation has pervasive impacts on the wellbeing of the participants and on their capacity to participate and direct their own futures. Family separation is found to be a barrier to settlement and therefore a crucial consideration for the design and provision of settlement services to people with 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:"Social Stratification and Its Perception in Austria and Central-East Europe from 1960 to 2015: Historical Legacies, Socialist Pasts and Recent Developments."
Abstract:"This article compares Austria with three of its former state-socialist neighbouring countries: the Czech Republic, Slovakia, and Hungary. The authors are guided by the assumption that it is necessary to analyse changes in both the structure and the perception of inequality and that the two are interconnected. They assume that some general differences exist as a result of the legacy of state socialism in the three post-communist countries, but also that significant differences exist between those three countries themselves that stem from their different paths of development in the 19th and early 20th centuries. In the first part of this article, differences in the societal-political aims of a Western country such as Austria and those of state-socialist countries are discussed. The authors argue that the state-socialist countries were able to contain income inequality but were less successful at limiting other aspects of inequality. Austria, on the other hand, was able to avoid the severe income inequalities of the capitalist system by introducing democratic-corporatist institutions and a strong welfare state. In the second part of the article the authors investigate the subjective perception of inequality based on the ISSP inequality surveys. The majority of the population in all four countries think that income differences are too large, but there are significant differences in how people perceive and evaluate the stratification structure: in Austria, individuals rank themselves significantly higher than do people in the other three countries and see their society as dominated by the middle classes. The opposite is true in Hungary, where most people think that they live in a society characterised by a small elite, and they see the mass of the people at the bottom.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs02150 | 10.13060/00380288.2020.55.6.490 | Social Stratification and Its Perception in Austria and Central-East Europe from 1960 to 2015: Historical Legacies, Socialist Pasts and Recent Developments | This article compares Austria with three of its former state-socialist neighbouring countries: the Czech Republic, Slovakia, and Hungary. The authors are guided by the assumption that it is necessary to analyse changes in both the structure and the perception of inequality and that the two are interconnected. They assume that some general differences exist as a result of the legacy of state socialism in the three post-communist countries, but also that significant differences exist between those three countries themselves that stem from their different paths of development in the 19th and early 20th centuries. In the first part of this article, differences in the societal-political aims of a Western country such as Austria and those of state-socialist countries are discussed. The authors argue that the state-socialist countries were able to contain income inequality but were less successful at limiting other aspects of inequality. Austria, on the other hand, was able to avoid the severe income inequalities of the capitalist system by introducing democratic-corporatist institutions and a strong welfare state. In the second part of the article the authors investigate the subjective perception of inequality based on the ISSP inequality surveys. The majority of the population in all four countries think that income differences are too large, but there are significant differences in how people perceive and evaluate the stratification structure: in Austria, individuals rank themselves significantly higher than do people in the other three countries and see their society as dominated by the middle classes. The opposite is true in Hungary, where most people think that they live in a society characterised by a small elite, and they see the mass of the people at the bottom. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Getting more from heterogeneous HIV-1 surveillance data in a high immigration country: estimation of incidence and undiagnosed population size using multiple biomarkers."
Abstract:"Background: Most HIV infections originate from individuals who are undiagnosed and unaware of their infection. Estimation of this quantity from surveillance data is hard because there is incomplete knowledge about (i) the time between infection and diagnosis (TI) for the general population, and (ii) the time between immigration and diagnosis for foreign-born persons. Methods: We developed a new statistical method for estimating the incidence of HIV-1 and the number of undiagnosed people living with HIV (PLHIV), based on dynamic modelling of heterogeneous HIV-1 surveillance data. The methods consist of a Bayesian non-linear mixed effects model using multiple biomarkers to estimate TI of HIV-1-positive individuals, and a novel incidence estimator which distinguishes between endogenous and exogenous infections by modelling explicitly the probability that a foreign-born person was infected either before or after immigration. The incidence estimator allows for direct calculation of the number of undiagnosed persons. The new methodology is illustrated combining heterogeneous surveillance data from Sweden between 2003 and 2015. Results: A leave-one-out cross-validation study showed that the multiple-biomarker model was more accurate than single biomarkers (mean absolute error 1.01 vs >= 1.95). We estimate that 816 [95% credible interval (CI) 775-865] PLHIV were undiagnosed in 2015, representing a proportion of 10.8% (95% CI 10.3-11.4%) of all PLHIV. Conclusions: The proposed methodology will enhance the utility of standard surveillance data streams and will be useful to monitor progress towards and compliance with the 90-90-90 UNAIDS target.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs01821 | 10.1093/ije/dyz100 | Getting more from heterogeneous HIV-1 surveillance data in a high immigration country: estimation of incidence and undiagnosed population size using multiple biomarkers | Background: Most HIV infections originate from individuals who are undiagnosed and unaware of their infection. Estimation of this quantity from surveillance data is hard because there is incomplete knowledge about (i) the time between infection and diagnosis (TI) for the general population, and (ii) the time between immigration and diagnosis for foreign-born persons. Methods: We developed a new statistical method for estimating the incidence of HIV-1 and the number of undiagnosed people living with HIV (PLHIV), based on dynamic modelling of heterogeneous HIV-1 surveillance data. The methods consist of a Bayesian non-linear mixed effects model using multiple biomarkers to estimate TI of HIV-1-positive individuals, and a novel incidence estimator which distinguishes between endogenous and exogenous infections by modelling explicitly the probability that a foreign-born person was infected either before or after immigration. The incidence estimator allows for direct calculation of the number of undiagnosed persons. The new methodology is illustrated combining heterogeneous surveillance data from Sweden between 2003 and 2015. Results: A leave-one-out cross-validation study showed that the multiple-biomarker model was more accurate than single biomarkers (mean absolute error 1.01 vs >= 1.95). We estimate that 816 [95% credible interval (CI) 775-865] PLHIV were undiagnosed in 2015, representing a proportion of 10.8% (95% CI 10.3-11.4%) of all PLHIV. Conclusions: The proposed methodology will enhance the utility of standard surveillance data streams and will be useful to monitor progress towards and compliance with the 90-90-90 UNAIDS target. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Protecting human rights in the era of uncertainty: How not to lose the war against ISIS."
Abstract:"As the brutal and violent attacks on civilian populations multiply throughout the world perpetrated by the Islamic State in Iraq and Syria (ISIS or ISIL, or the Islamic State, also known as Daesh), the need for an effective response to terrorism has grown in intensity. The ISIS attacks in Paris have in particular introduced a wave of nationalist, securitized alarm, reinforcing a general concern about the influx of immigrants and asylum seekers while underscoring the shift from a regional to international nature of both threat and risk. These issues of security and terrorism have also illustrated the willingness of great powers to support military actions against ISIS in order to stem the atrocities perpetrated by this group, while placing the overthrow of the Assad regime on the backburner for the time being at least. We argue that the defeat of ISIS need not be accomplished by stigmatizing refugees and subjecting them to religious litmus tests. Closing Europe's porous borders and politicizing the attempt to admit refugees at a time when the growing humanitarian crisis poses mounting human rights challenges to the international community is fundamentally wrongheaded. We argue that these approaches, while temporarily satisfying, strengthen the hand of ISIS and other terrorist groups that tend to portray such policies and practices largely in terms of civilizational clashes. Defeating ISIS requires strategic patience and long-term logical and prudent decision making. While doing so, it is important to avoid the enemy's repressive, atavistic, and unsavory methods. The burden is on the international community to fulfill the commitment to international human rights law and international humanitarian law, which continue to be one of the most effective and legitimate tools in our arsenal to confront terrorism.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs07327 | 10.1080/14754835.2016.1205477 | Protecting human rights in the era of uncertainty: How not to lose the war against ISIS | As the brutal and violent attacks on civilian populations multiply throughout the world perpetrated by the Islamic State in Iraq and Syria (ISIS or ISIL, or the Islamic State, also known as Daesh), the need for an effective response to terrorism has grown in intensity. The ISIS attacks in Paris have in particular introduced a wave of nationalist, securitized alarm, reinforcing a general concern about the influx of immigrants and asylum seekers while underscoring the shift from a regional to international nature of both threat and risk. These issues of security and terrorism have also illustrated the willingness of great powers to support military actions against ISIS in order to stem the atrocities perpetrated by this group, while placing the overthrow of the Assad regime on the backburner for the time being at least. We argue that the defeat of ISIS need not be accomplished by stigmatizing refugees and subjecting them to religious litmus tests. Closing Europe's porous borders and politicizing the attempt to admit refugees at a time when the growing humanitarian crisis poses mounting human rights challenges to the international community is fundamentally wrongheaded. We argue that these approaches, while temporarily satisfying, strengthen the hand of ISIS and other terrorist groups that tend to portray such policies and practices largely in terms of civilizational clashes. Defeating ISIS requires strategic patience and long-term logical and prudent decision making. While doing so, it is important to avoid the enemy's repressive, atavistic, and unsavory methods. The burden is on the international community to fulfill the commitment to international human rights law and international humanitarian law, which continue to be one of the most effective and legitimate tools in our arsenal to confront terrorism. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Factors that Influence the Outcomes of Single Homeless People's Rehousing."
Abstract:"This paper examines the influences of biographical, behavioural, housing and neighbourhood attributes on housing satisfaction, settledness and tenancy sustainment for 400 single homeless people who were resettled into independent accommodation. It draws on evidence from FOR-HOME, a longitudinal study in London and three provincial English cities of resettlement outcomes over 18 months. There was a high rate of tenancy sustainment: after 15/18 months, 78 per cent of the participants were in their original tenancy, 7 per cent had moved to another tenancy and only 15 per cent no longer had a tenancy. Tenure greatly influenced tenancy sustainment, with moves into private-rented accommodation having the lowest rate of success. Several housing and neighbourhood characteristics had strong associations with the outcomes. The biographical and behavioural attributes that were influential in determining outcomes were being young, frequent family contacts, having been in care as a child and some features of the recent episode of homelessness.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs03577 | 10.1080/02673037.2013.760032 | Factors that Influence the Outcomes of Single Homeless People's Rehousing | This paper examines the influences of biographical, behavioural, housing and neighbourhood attributes on housing satisfaction, settledness and tenancy sustainment for 400 single homeless people who were resettled into independent accommodation. It draws on evidence from FOR-HOME, a longitudinal study in London and three provincial English cities of resettlement outcomes over 18 months. There was a high rate of tenancy sustainment: after 15/18 months, 78 per cent of the participants were in their original tenancy, 7 per cent had moved to another tenancy and only 15 per cent no longer had a tenancy. Tenure greatly influenced tenancy sustainment, with moves into private-rented accommodation having the lowest rate of success. Several housing and neighbourhood characteristics had strong associations with the outcomes. The biographical and behavioural attributes that were influential in determining outcomes were being young, frequent family contacts, having been in care as a child and some features of the recent episode of homelessness. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Revisiting the Central California Meganos Intrusion with New Stable Isotope and Radiocarbon Analyses at El Sobrante (CA-CCO-151)."
Abstract:"James Bennyhoff proposed a Meganos intrusion of people from the California Delta into the San Francisco Bay Area. Using new radiocarbon and stable isotope data, we re-examine stratigraphic and mortuary patterns at CA-CCO-151, the El Sobrante Mound. Which contains both a pre-Meganos (or Berkeley) and Meganos component. Results show that the transition to Meganos was gradual, occurring over a 200-year window between 1,400 and 1,210 cal B.P., with mortuary traits accumulating in piecemeal fashion. This is less consistent with an intrusion, and more in line with a slow diffusion of Meganos culture into the Bay Area. We propose a new model, wherein patrilocal Meganos populations had higher intrinsic growth rates than matrilocal Berkeley populations. Meganos males were able to marry into matrilocal Bay Area communities, and once there, passed on certain aspects of Meganos culture to their children. By virtue of higher Meganos out-migration, Bay Area communities slowly transitioned over roughly eight generations.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs01739 | 10.1080/1947461X.2020.1731067 | Revisiting the Central California Meganos Intrusion with New Stable Isotope and Radiocarbon Analyses at El Sobrante (CA-CCO-151) | James Bennyhoff proposed a Meganos intrusion of people from the California Delta into the San Francisco Bay Area. Using new radiocarbon and stable isotope data, we re-examine stratigraphic and mortuary patterns at CA-CCO-151, the El Sobrante Mound. Which contains both a pre-Meganos (or Berkeley) and Meganos component. Results show that the transition to Meganos was gradual, occurring over a 200-year window between 1,400 and 1,210 cal B.P., with mortuary traits accumulating in piecemeal fashion. This is less consistent with an intrusion, and more in line with a slow diffusion of Meganos culture into the Bay Area. We propose a new model, wherein patrilocal Meganos populations had higher intrinsic growth rates than matrilocal Berkeley populations. Meganos males were able to marry into matrilocal Bay Area communities, and once there, passed on certain aspects of Meganos culture to their children. By virtue of higher Meganos out-migration, Bay Area communities slowly transitioned over roughly eight generations. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Generations of decline: Religious change in 20th-century Britain."
Abstract:"This article analyzes the best available evidence from the major British social surveys to describe and explain the continuous decline of religion throughout the 20th century. This decline is overwhelmingly generational in nature rather than a product of particular periods such as World War II or the 1960s. Measures of religious affiliation, regular attendance at worship, and religious belief show nearly identical rates of intergenerational decline. Decline has not been offset by any positive age effects in an aging society: Britons do not,et more religious as they get older. The intergenerational decline follows clear patterns of transmission of parental religious characteristics to children. Two potential modulators of decline are identified and investigated: immigration of people who are more religious that? the existing population and higher fertility rates among the religiously active population. Of these only the former appears of importance. The nonwhite ethnic minority immigrant population is Jar more religious than the white population; however, the rates of intergenerational decline (between immigrant parents and native-born children) are almost as high as for the white population, leading to an intergenerational convergence of levels of religiosity. Although ethnic minority populations tend to be more religious and have higher fertility rates, there is no differential fertility by religiosity among the population as a whole.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs04587 | 10.1111/j.1468-5906.2006.00328.x | Generations of decline: Religious change in 20th-century Britain | This article analyzes the best available evidence from the major British social surveys to describe and explain the continuous decline of religion throughout the 20th century. This decline is overwhelmingly generational in nature rather than a product of particular periods such as World War II or the 1960s. Measures of religious affiliation, regular attendance at worship, and religious belief show nearly identical rates of intergenerational decline. Decline has not been offset by any positive age effects in an aging society: Britons do not,et more religious as they get older. The intergenerational decline follows clear patterns of transmission of parental religious characteristics to children. Two potential modulators of decline are identified and investigated: immigration of people who are more religious that? the existing population and higher fertility rates among the religiously active population. Of these only the former appears of importance. The nonwhite ethnic minority immigrant population is Jar more religious than the white population; however, the rates of intergenerational decline (between immigrant parents and native-born children) are almost as high as for the white population, leading to an intergenerational convergence of levels of religiosity. Although ethnic minority populations tend to be more religious and have higher fertility rates, there is no differential fertility by religiosity among the population as a whole. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Meteorological factors against COVID-19 and the role of human mobility."
Abstract:"In the vein of recent empirical literature, we reassessed the impact of weather factors on Covid-19 daily cases and fatalities in a panel of 37 OECD countries between 1st January and 27th July 2020. We considered five different meteorological factors. For the first time, we used a dynamic panel model and considered two different kinds of channels between climate and Covid-19 virus: direct/physical factors related to the survival and durability dynamics of the virus on surfaces and outdoors and indirect/social factors through human behaviour and individual mobility, such as walking or driving outdoors, to capture the impact of weather on social distancing and, thus, on Covid-19 cases and fatalities. Our work revealed that temperature, humidity and solar radiation, which has been clearly under considered in previous studies, significantly reduce the number of Covid-19 cases and fatalities. Indirect effects through human behaviour, i.e., correlations between temperature (or solar radiation) and human mobility, were significantly positive and should be considered to correctly assess the effects of climatic factors. Increasing temperature, humidity or solar radiation effects were positively correlated with increasing mobility effects on Covid-19 cases and fatalities. The net effect from weather on the Covid-19 outbreak will, thus, be the result of the physical/direct negative effect of temperature or solar radiation and the mobility/indirect positive effect due to the interaction between human mobility and those meterological variables. Reducing direct effects of temperature and solar radiation on Covid-19 cases and fatalities, when they were significant, were partly and slightly compensated for positive indirect effects through human mobility. Suitable control policies should be implemented to control mobility and social distancing even when the weather is favourable to reduce the spread 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 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [1]. | abs06668 | 10.1371/journal.pone.0252405 | Meteorological factors against COVID-19 and the role of human mobility | In the vein of recent empirical literature, we reassessed the impact of weather factors on Covid-19 daily cases and fatalities in a panel of 37 OECD countries between 1st January and 27th July 2020. We considered five different meteorological factors. For the first time, we used a dynamic panel model and considered two different kinds of channels between climate and Covid-19 virus: direct/physical factors related to the survival and durability dynamics of the virus on surfaces and outdoors and indirect/social factors through human behaviour and individual mobility, such as walking or driving outdoors, to capture the impact of weather on social distancing and, thus, on Covid-19 cases and fatalities. Our work revealed that temperature, humidity and solar radiation, which has been clearly under considered in previous studies, significantly reduce the number of Covid-19 cases and fatalities. Indirect effects through human behaviour, i.e., correlations between temperature (or solar radiation) and human mobility, were significantly positive and should be considered to correctly assess the effects of climatic factors. Increasing temperature, humidity or solar radiation effects were positively correlated with increasing mobility effects on Covid-19 cases and fatalities. The net effect from weather on the Covid-19 outbreak will, thus, be the result of the physical/direct negative effect of temperature or solar radiation and the mobility/indirect positive effect due to the interaction between human mobility and those meterological variables. Reducing direct effects of temperature and solar radiation on Covid-19 cases and fatalities, when they were significant, were partly and slightly compensated for positive indirect effects through human mobility. Suitable control policies should be implemented to control mobility and social distancing even when the weather is favourable to reduce the spread 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:"A data fusion approach with mobile phone data for updating travel survey-based mode split estimates."
Abstract:"Up-to-date information on different modes of travel to monitor transport traffic and evaluate rapid urban transport planning interventions is often lacking. Transport systems typically rely on traditional data sources providing outdated mode-of-travel data due to their data latency, infrequent data collection and high cost. To address this issue, we propose a method that leverages mobile phone data as a cost-effective and rich source of geospatial information to capture current human mobility patterns at unprecedented spatiotemporal resolution. Our approach employs mobile phone application usage traces to infer modes of transportation that are challenging to identify (bikes and ride-hailing/taxi services) based on mobile phone location data. Using data fusion and matrix factorisation techniques, we integrate official data sources (household surveys and census data) with mobile phone application usage data. This integration enables us to reconstruct the official data and create an updated dataset that incorporates insights from digital footprint data from application usage. We illustrate our method using a case study focused on Santiago, Chile successfully inferring four modes of transportation: mass-transit (all public transportation), motorised (cars and similar vehicles), active (pedestrian and cycle trips), and taxi (traditional taxi and ride-hailing services). Our analysis revealed significant changes in transportation patterns between 2012 and 2020. We quantify a reduction in mass-transit usage across municipalities in Santiago, except where metro/rail lines have been more recently introduced, highlighting added resilience to the public transport network of these infrastructure enhancements. Additionally, we evidence an overall increase in motorised transport throughout Santiago, revealing persistent challenges in promoting urban sustainable transportation. Findings also point to a rise in the share of taxi usage, and a drop in active mobility, suggesting a modal shift towards less sustainable modes of travel. We validate our findings comparing our updated estimates with official smart card transaction data. The consistency of findings with expert domain knowledge from the literature and historical transport usage trends further support the robustness of our approach.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [1];
Q6 = [1]. | abs18546 | 10.1016/j.trc.2023.104285 | A data fusion approach with mobile phone data for updating travel survey-based mode split estimates | Up-to-date information on different modes of travel to monitor transport traffic and evaluate rapid urban transport planning interventions is often lacking. Transport systems typically rely on traditional data sources providing outdated mode-of-travel data due to their data latency, infrequent data collection and high cost. To address this issue, we propose a method that leverages mobile phone data as a cost-effective and rich source of geospatial information to capture current human mobility patterns at unprecedented spatiotemporal resolution. Our approach employs mobile phone application usage traces to infer modes of transportation that are challenging to identify (bikes and ride-hailing/taxi services) based on mobile phone location data. Using data fusion and matrix factorisation techniques, we integrate official data sources (household surveys and census data) with mobile phone application usage data. This integration enables us to reconstruct the official data and create an updated dataset that incorporates insights from digital footprint data from application usage. We illustrate our method using a case study focused on Santiago, Chile successfully inferring four modes of transportation: mass-transit (all public transportation), motorised (cars and similar vehicles), active (pedestrian and cycle trips), and taxi (traditional taxi and ride-hailing services). Our analysis revealed significant changes in transportation patterns between 2012 and 2020. We quantify a reduction in mass-transit usage across municipalities in Santiago, except where metro/rail lines have been more recently introduced, highlighting added resilience to the public transport network of these infrastructure enhancements. Additionally, we evidence an overall increase in motorised transport throughout Santiago, revealing persistent challenges in promoting urban sustainable transportation. Findings also point to a rise in the share of taxi usage, and a drop in active mobility, suggesting a modal shift towards less sustainable modes of travel. We validate our findings comparing our updated estimates with official smart card transaction data. The consistency of findings with expert domain knowledge from the literature and historical transport usage trends further support the robustness of our approach. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"WHY CAN'T THE PALESTINIANS RECOGNIZE THE JEWISH STATE?."
Abstract:"Israel's relatively recent demand for recognition as a Jewish state or homeland for the Jewish people has important implications for the Palestinians (whether refugees, citizens of Israel, or residents of the occupied territories) with regard to their history, identity, rights, and future. This essay explores the moral and practical reasons why they cannot accede to this demand, or even accept Israel's self-definition as a matter of exclusive Israeli concern.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs16063 | 10.1525/jps.2011.XL.4.78 | WHY CAN'T THE PALESTINIANS RECOGNIZE THE JEWISH STATE? | Israel's relatively recent demand for recognition as a Jewish state or homeland for the Jewish people has important implications for the Palestinians (whether refugees, citizens of Israel, or residents of the occupied territories) with regard to their history, identity, rights, and future. This essay explores the moral and practical reasons why they cannot accede to this demand, or even accept Israel's self-definition as a matter of exclusive Israeli concern. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Healthcare access through community-based health insurance among Senegalese migrants."
Abstract:"Objective: To evaluate the determinants of healthcare access financing and the role of a particular class of informal financing known as tontine, a community-based health insurance among Senegalese immi-grants. Method: Data were retrieved through qualitative techniques, semi-structured interviews (n = 14) and discussion group (n = 10) in a population of Senegalese migrants residing in Granada between October and November 2019. Key participants were from a tontine. Results: The lack of work or economic resources, as well as the condition of undocumented immigrant constitute barriers to adherence to public and private health insurance. Participants consider that public health care does not take into account the importance of following treatment close to their relatives in their country of origin or having the alternative of traditional medicines. The tontine helps to protect the most vulnerable people such as undocumented immigrants and allows financing services of cultural importance. Conclusions: This study was the first to provide an understanding of a financing mechanism typical of an immigrant community quite unknown to Spanish society. Tontines continue a long tradition whereby disadvantaged and vulnerable communities resist multiple sources of discrimination and inequality by self-help, trust and solidarity. (c) 2021 SESPAS. Published by Elsevier Espana, S.L.U. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [0];
Q6 = [0]. | abs19695 | 10.1016/j.gaceta.2021.11.007 | Healthcare access through community-based health insurance among Senegalese migrants | Objective: To evaluate the determinants of healthcare access financing and the role of a particular class of informal financing known as tontine, a community-based health insurance among Senegalese immi-grants. Method: Data were retrieved through qualitative techniques, semi-structured interviews (n = 14) and discussion group (n = 10) in a population of Senegalese migrants residing in Granada between October and November 2019. Key participants were from a tontine. Results: The lack of work or economic resources, as well as the condition of undocumented immigrant constitute barriers to adherence to public and private health insurance. Participants consider that public health care does not take into account the importance of following treatment close to their relatives in their country of origin or having the alternative of traditional medicines. The tontine helps to protect the most vulnerable people such as undocumented immigrants and allows financing services of cultural importance. Conclusions: This study was the first to provide an understanding of a financing mechanism typical of an immigrant community quite unknown to Spanish society. Tontines continue a long tradition whereby disadvantaged and vulnerable communities resist multiple sources of discrimination and inequality by self-help, trust and solidarity. (c) 2021 SESPAS. Published by Elsevier Espana, S.L.U. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Socio-economic determinants of mobility responses during the first wave of COVID-19 in Italy: from provinces to neighbourhoods."
Abstract:"After more than 1 year into the COVID-19 pandemic, governments worldwide still face the challenge of adopting non-pharmaceutical interventions to mitigate the risks posed by the emergence of new SARS-CoV-2 variants and the lack of a worldwide equitable vaccine allocation. Thus, it becomes crucial to identify the drivers of mobility responses to mitigation efforts during different restriction regimes, for planning interventions that are both economically and socially sustainable while effective in controlling an outbreak. Here, using anonymous and privacy-enhanced cell phone data from Italy, we investigate the determinants of spatial variations of reductions in mobility and co-location in response to the adoption and the lift of restrictions, considering both provinces and city neighbourhoods. In large urban areas, our analysis uncovers the desertification of historic city centres, which persisted after the end of the lockdown. Such centre-periphery gradient was mainly associated with differences in educational attainment. At the province level, the local structure of the labour market mainly explained the variations in mobility responses, together with other demographic factors, such as the population's age and sex composition. In the future, targeted interventions should take into account how the ability to comply with restrictions varies across geographical areas and socio-demographic groups.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [6];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs18471 | 10.1098/rsif.2021.0092 | Socio-economic determinants of mobility responses during the first wave of COVID-19 in Italy: from provinces to neighbourhoods | After more than 1 year into the COVID-19 pandemic, governments worldwide still face the challenge of adopting non-pharmaceutical interventions to mitigate the risks posed by the emergence of new SARS-CoV-2 variants and the lack of a worldwide equitable vaccine allocation. Thus, it becomes crucial to identify the drivers of mobility responses to mitigation efforts during different restriction regimes, for planning interventions that are both economically and socially sustainable while effective in controlling an outbreak. Here, using anonymous and privacy-enhanced cell phone data from Italy, we investigate the determinants of spatial variations of reductions in mobility and co-location in response to the adoption and the lift of restrictions, considering both provinces and city neighbourhoods. In large urban areas, our analysis uncovers the desertification of historic city centres, which persisted after the end of the lockdown. Such centre-periphery gradient was mainly associated with differences in educational attainment. At the province level, the local structure of the labour market mainly explained the variations in mobility responses, together with other demographic factors, such as the population's age and sex composition. In the future, targeted interventions should take into account how the ability to comply with restrictions varies across geographical areas and socio-demographic groups. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Heterogeneity in social and epidemiological factors determines the risk of measles outbreaks."
Abstract:"Political and environmental factors-e.g., regional conflicts and global warming-increase large-scale migrations, posing extraordinary societal challenges to policymakers of destination countries. A common concern is that such a massive arrival of people-often from a country with a disrupted healthcare system-can increase the risk of vaccine-preventable disease outbreaks like measles. We analyze human flows of 3.5 million (M) Syrian refugees in Turkey inferred from massive mobile-phone data to verify this concern. We use multilayer modeling of interdependent social and epidemic dynamics to demonstrate that the risk of disease reemergence in Turkey, the main host country, can be dramatically reduced by 75 to 90% when the mixing of Turkish and Syrian populations is high. Our results suggest that maximizing the dispersal of refugees in the recipient population contributes to impede the spread of sustained measles epidemics, rather than favoring it. Targeted vaccination campaigns and policies enhancing social integration of refugees are the most effective strategies to reduce epidemic risks for all citizens.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs10531 | 10.1073/pnas.1920986117 | Heterogeneity in social and epidemiological factors determines the risk of measles outbreaks | Political and environmental factors-e.g., regional conflicts and global warming-increase large-scale migrations, posing extraordinary societal challenges to policymakers of destination countries. A common concern is that such a massive arrival of people-often from a country with a disrupted healthcare system-can increase the risk of vaccine-preventable disease outbreaks like measles. We analyze human flows of 3.5 million (M) Syrian refugees in Turkey inferred from massive mobile-phone data to verify this concern. We use multilayer modeling of interdependent social and epidemic dynamics to demonstrate that the risk of disease reemergence in Turkey, the main host country, can be dramatically reduced by 75 to 90% when the mixing of Turkish and Syrian populations is high. Our results suggest that maximizing the dispersal of refugees in the recipient population contributes to impede the spread of sustained measles epidemics, rather than favoring it. Targeted vaccination campaigns and policies enhancing social integration of refugees are the most effective strategies to reduce epidemic risks for all citizens. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Should mortality data for the elderly be collected routinely in emergencies? The practical challenges of age-disaggregated surveillance systems."
Abstract:"Data on the elderly are rarely collected in humanitarian emergencies. During a refugee crisis in South Sudan, Medecins Sans Frontieres developed a prospective mortality surveillance system collecting data for those aged >= 50 years and found that the elderly were dying at five times the rate of those aged 5-49 years. Practical and ethical issues arose. Were reported ages accurate? Since no baseline exists, what does the mortality rate mean? Should programmatic changes be made without evidence that these would reduce the elderly mortality rate? We outline issues to be addressed to enable informed decisions on response to elderly populations in emergency settings.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs15596 | 10.1093/trstmh/trt085 | Should mortality data for the elderly be collected routinely in emergencies? The practical challenges of age-disaggregated surveillance systems | Data on the elderly are rarely collected in humanitarian emergencies. During a refugee crisis in South Sudan, Medecins Sans Frontieres developed a prospective mortality surveillance system collecting data for those aged >= 50 years and found that the elderly were dying at five times the rate of those aged 5-49 years. Practical and ethical issues arose. Were reported ages accurate? Since no baseline exists, what does the mortality rate mean? Should programmatic changes be made without evidence that these would reduce the elderly mortality rate? We outline issues to be addressed to enable informed decisions on response to elderly populations in emergency settings. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Probabilistic forecasting of daily COVID-19 admissions using machine learning."
Abstract:"Accurate forecasts of daily Coronavirus-2019 (COVID-19) admissions are critical for healthcare planners and decision-makers to better manage scarce resources during and around infection peaks. Numerous studies have focused on forecasting COVID-19 admissions at the national or global levels. Localized predictions are vital, as they allow for resource planning redistribution, but also scarce and harder to get right. Several possible indicators can be used to predict COVID-19 admissions. The inherent variability in the admissions necessitates the generation and evaluation of the forecast distribution of admissions, as opposed to producing only a point forecast. In this study, we propose a quantile regression forest (QRF) model for probabilistic forecasting of daily COVID-19 admissions for a local hospital trust (aggregation of 3 hospitals), up to 7 days ahead, using a multitude of different predictors. We evaluate point forecast accuracy as well as the accuracy of the forecast distribution using appropriate measures. We provide evidence that QRF outperforms univariate time series methods and other more sophisticated benchmarks. Our findings also show that lagged admissions, total positive cases, daily tests performed, and Google grocery and Apple driving are the most salient predictors. Finally, we highlight areas where further research is 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 = [];
Q6 = [1]. | abs18259 | 10.1093/imaman/dpad009 | Probabilistic forecasting of daily COVID-19 admissions using machine learning | Accurate forecasts of daily Coronavirus-2019 (COVID-19) admissions are critical for healthcare planners and decision-makers to better manage scarce resources during and around infection peaks. Numerous studies have focused on forecasting COVID-19 admissions at the national or global levels. Localized predictions are vital, as they allow for resource planning redistribution, but also scarce and harder to get right. Several possible indicators can be used to predict COVID-19 admissions. The inherent variability in the admissions necessitates the generation and evaluation of the forecast distribution of admissions, as opposed to producing only a point forecast. In this study, we propose a quantile regression forest (QRF) model for probabilistic forecasting of daily COVID-19 admissions for a local hospital trust (aggregation of 3 hospitals), up to 7 days ahead, using a multitude of different predictors. We evaluate point forecast accuracy as well as the accuracy of the forecast distribution using appropriate measures. We provide evidence that QRF outperforms univariate time series methods and other more sophisticated benchmarks. Our findings also show that lagged admissions, total positive cases, daily tests performed, and Google grocery and Apple driving are the most salient predictors. Finally, we highlight areas where further research is 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:"Predicting mobile users' next location using the semantically enriched geo-embedding model and the multilayer attention mechanism."
Abstract:"Predicting the next location of human mobility and its semantic information can support recommendations for location-based services and trajectory mining, such as human mobility pattern recognition and sequential anomaly detection. Previous studies have ignored the implicit correlation between location and spatiotemporal information thereby limiting the model performance in terms of location prediction accuracy. In this study, we propose a GEMA-BiLSTM (Geographical Embedding and Multilayer Attention-Bidirectional Long Short-Term Memory) model to predict the next-location in users' mobility. The model combines location and spatiotem-poral information to extract the semantics of human mobility. The results show that the model can accurately predict the next location with a high accuracy of 87.63%. Compared with BiLSTM-CNN, LSTM, CNN, and Markov, the location prediction accuracy of the model improved by 2.28%, 9.72%, 11.53%, and 17.64%, respectively. In addition, the model has the highest semantic prediction accuracy (75.35%). Compared with the BiLSTM-CNN model, the our method improves the semantic prediction accuracy for residential and industrial function areas by 4.79% and 5.37%, respectively. The accuracy of location prediction for different time periods indicates that the next location of human activity during morning rush and evening rush hours is the most difficult to predict, which corresponds to the increase in human travel demand. Moreover, weekday human activity patterns indicate that the commercial area is still very active at night, which may be linked to nighttime economic policies. This study could improve the accuracy of recommendations for location-based service applications.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs06909 | 10.1016/j.compenvurbsys.2023.102009 | Predicting mobile users' next location using the semantically enriched geo-embedding model and the multilayer attention mechanism | Predicting the next location of human mobility and its semantic information can support recommendations for location-based services and trajectory mining, such as human mobility pattern recognition and sequential anomaly detection. Previous studies have ignored the implicit correlation between location and spatiotemporal information thereby limiting the model performance in terms of location prediction accuracy. In this study, we propose a GEMA-BiLSTM (Geographical Embedding and Multilayer Attention-Bidirectional Long Short-Term Memory) model to predict the next-location in users' mobility. The model combines location and spatiotem-poral information to extract the semantics of human mobility. The results show that the model can accurately predict the next location with a high accuracy of 87.63%. Compared with BiLSTM-CNN, LSTM, CNN, and Markov, the location prediction accuracy of the model improved by 2.28%, 9.72%, 11.53%, and 17.64%, respectively. In addition, the model has the highest semantic prediction accuracy (75.35%). Compared with the BiLSTM-CNN model, the our method improves the semantic prediction accuracy for residential and industrial function areas by 4.79% and 5.37%, respectively. The accuracy of location prediction for different time periods indicates that the next location of human activity during morning rush and evening rush hours is the most difficult to predict, which corresponds to the increase in human travel demand. Moreover, weekday human activity patterns indicate that the commercial area is still very active at night, which may be linked to nighttime economic policies. This study could improve the accuracy of recommendations for location-based service applications. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Child Psychological Adjustment to War and Displacement: A Discriminant Analysis of Resilience and Trauma in Syrian Refugee Children."
Abstract:"The ongoing war in Syria has led to the displacement of 12 million people since 2011, with minors representing 40% of all refugees. Syrian children living in refugee camps are at risk of developing a wide range of mental health problems, given their previous and ongoing exposure to episodes of violence, disruption of family ties, and discontinuous access to education. In this study, we drew on the salutogenic paradigm to investigate whether, and to what extent, high/low levels of resilience were associated with other indicators of mental health and post-traumatic response in Syrian children living in refugee camps. The sample was composed of 311 Syrian children living in Jordanian refugee camps as a consequence of the war in Syria. We administered quantitative self-report measures to assess participants' exposure to trauma, individual levels of resilience, and mental health, performing discriminant analysis to examine the association between resilience and trauma/mental health. Syrian children living in Jordanian refugee camps reported intense exposure to traumatic events. The linear discriminant equation supported adoption of the function [Wilk's Lambda (? = 0.827)]: lower levels of resilience were associated with trauma symptoms (re-experiencing, avoidance, and hyperarousal) and emotional problems, while higher levels of resilience were associated with pro-social behaviours. The findings of the present study suggest that resilience acts as a protective factor buffering children from the consequences of trauma and challenging life conditions. We discuss the implications for interventions designed to promote the wellbeing and mental health of children living in refugee 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 = [2];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs09754 | 10.1007/s10826-021-02067-2 | Child Psychological Adjustment to War and Displacement: A Discriminant Analysis of Resilience and Trauma in Syrian Refugee Children | The ongoing war in Syria has led to the displacement of 12 million people since 2011, with minors representing 40% of all refugees. Syrian children living in refugee camps are at risk of developing a wide range of mental health problems, given their previous and ongoing exposure to episodes of violence, disruption of family ties, and discontinuous access to education. In this study, we drew on the salutogenic paradigm to investigate whether, and to what extent, high/low levels of resilience were associated with other indicators of mental health and post-traumatic response in Syrian children living in refugee camps. The sample was composed of 311 Syrian children living in Jordanian refugee camps as a consequence of the war in Syria. We administered quantitative self-report measures to assess participants' exposure to trauma, individual levels of resilience, and mental health, performing discriminant analysis to examine the association between resilience and trauma/mental health. Syrian children living in Jordanian refugee camps reported intense exposure to traumatic events. The linear discriminant equation supported adoption of the function [Wilk's Lambda (? = 0.827)]: lower levels of resilience were associated with trauma symptoms (re-experiencing, avoidance, and hyperarousal) and emotional problems, while higher levels of resilience were associated with pro-social behaviours. The findings of the present study suggest that resilience acts as a protective factor buffering children from the consequences of trauma and challenging life conditions. We discuss the implications for interventions designed to promote the wellbeing and mental health of children living in refugee 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:"Effects of non-compulsory and mandatory COVID-19 interventions on travel distance and time away from home, Norway, 2021."
Abstract:"Background: Given the societal, economic and health costs of COVID-19 non-pharmaceutical interventions (NPI), it is important to assess their effects. Human mobility serves as a surrogate measure for human contacts and compliance with NPI. In Nordic countries, NPI have mostly been advised and sometimes made mandatory. It is unclear if making NPI mandatory fur-ther reduced mobility. Aim: We investigated the effect of non-compulsory and follow-up mandatory meas-ures in major cities and rural regions on human mobil-ity in Norway. We identified NPI categories that most affected mobility. Methods: We used mobile phone mobility data from the largest Norwegian operator. We analysed non-compulsory and mandatory measures with before-after and synthetic difference-in -differ-ences approaches. By regression, we investigated the impact of different NPI on mobility. Results: Nationally and in less populated regions, time travelled, but not distance, decreased after follow-up mandatory meas-ures. In urban areas, however, distance decreased after follow-up mandates, and the reduction exceeded the decrease after initial non-compulsory measures. Stricter metre rules, gyms reopening, and restau-rants and shops reopening were significantly associ-ated with changes in mobility. Conclusion: Overall, distance travelled from home decreased after non -compulsory measures, and in urban areas, distance further decreased after follow-up mandates. Time travelled reduced more after mandates than after non-compulsory measures for all regions and inter-ventions. Stricter distancing and reopening of gyms, restaurants and shops were associated with changes in mobility.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
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Q3 = [];
Q4 = [];
Q5 = [1];
Q6 = [1]. | abs17144 | 10.2807/1560-7917.ES.2023.28.17.2200382 | Effects of non-compulsory and mandatory COVID-19 interventions on travel distance and time away from home, Norway, 2021 | Background: Given the societal, economic and health costs of COVID-19 non-pharmaceutical interventions (NPI), it is important to assess their effects. Human mobility serves as a surrogate measure for human contacts and compliance with NPI. In Nordic countries, NPI have mostly been advised and sometimes made mandatory. It is unclear if making NPI mandatory fur-ther reduced mobility. Aim: We investigated the effect of non-compulsory and follow-up mandatory meas-ures in major cities and rural regions on human mobil-ity in Norway. We identified NPI categories that most affected mobility. Methods: We used mobile phone mobility data from the largest Norwegian operator. We analysed non-compulsory and mandatory measures with before-after and synthetic difference-in -differ-ences approaches. By regression, we investigated the impact of different NPI on mobility. Results: Nationally and in less populated regions, time travelled, but not distance, decreased after follow-up mandatory meas-ures. In urban areas, however, distance decreased after follow-up mandates, and the reduction exceeded the decrease after initial non-compulsory measures. Stricter metre rules, gyms reopening, and restau-rants and shops reopening were significantly associ-ated with changes in mobility. Conclusion: Overall, distance travelled from home decreased after non -compulsory measures, and in urban areas, distance further decreased after follow-up mandates. Time travelled reduced more after mandates than after non-compulsory measures for all regions and inter-ventions. Stricter distancing and reopening of gyms, restaurants and shops were associated with changes in mobility. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 political ecology of human-wildlife conflict: Producing wilderness, insecurity, and displacement in the Limpopo National Park."
Abstract:"Like conservation-induced displacement, human-wildlife conflict (HWC) has potentially negative implications for communities in and around protected areas. While the ways in which displacement emerges from the creation of 'wilderness' conservation landscapes are well documented, how the production of 'wilderness' articulates with intensifications in HWC remains under examined both empirically and conceptually. Using a political-ecological approach, I analyse increases of HWC in Mozambique's Limpopo National Park (LNP) and the subsequent losses of fields and livestock, as well as forms of physical displacement suffered by resident communities. While intensifications of encounters between wildlife on the one hand and people and livestock on the other result in part from increases in wildlife populations, I argue that HWC and the ways in which it constitutes and contributes to various forms of displacement results more centrally from changing relations between wildlife and people and the power and authority to manage conflict between them. Both of these contributing factors, moreover, are the consequence of practices that aim to transform the LNP into a wilderness landscape of conservation and tourism. HWC and its negative impacts are thus not natural phenomena, but are the result of political decisions to create a particular type of conservation landscape.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [6];
Q3 = [1];
Q4 = [13,15];
Q5 = [1];
Q6 = [0]. | abs20347 | 10.4103/0972-4923.186331 | The political ecology of human-wildlife conflict: Producing wilderness, insecurity, and displacement in the Limpopo National Park | Like conservation-induced displacement, human-wildlife conflict (HWC) has potentially negative implications for communities in and around protected areas. While the ways in which displacement emerges from the creation of 'wilderness' conservation landscapes are well documented, how the production of 'wilderness' articulates with intensifications in HWC remains under examined both empirically and conceptually. Using a political-ecological approach, I analyse increases of HWC in Mozambique's Limpopo National Park (LNP) and the subsequent losses of fields and livestock, as well as forms of physical displacement suffered by resident communities. While intensifications of encounters between wildlife on the one hand and people and livestock on the other result in part from increases in wildlife populations, I argue that HWC and the ways in which it constitutes and contributes to various forms of displacement results more centrally from changing relations between wildlife and people and the power and authority to manage conflict between them. Both of these contributing factors, moreover, are the consequence of practices that aim to transform the LNP into a wilderness landscape of conservation and tourism. HWC and its negative impacts are thus not natural phenomena, but are the result of political decisions to create a particular type of conservation landscape. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"'They took our beads, it was a fair trade, get over it': Settler colonial logics, racial hierarchies and material dominance in Canadian agriculture."
Abstract:"Canada is in a liminal space, with renewed struggles for and commitments to indigenous land and food sovereignty on one hand, and growing capital interest in land governance and agriculture on the other. While neoliberal capital increasingly accumulates land-based control, settler-farming communities still manage much of Canada's arable land. This research draws on studies of settler colonialism, racial hierarchy and othering to connect the ideological with the material forces of settler colonialism and show how material dominance is maintained through colonial logics and racially ordered narratives. Through in-depth interviews, I investigate how white settler farmers perceive and construct two distinctly 'othered' groups: Indigenous peoples and migrant farmers and farm workers. Further, I show the disparate role of land and labour in constructing each group, and specifically, the cultural and material benefits of these constructions for land-based settler populations. At the same time, settler colonial structures and logics remain reciprocally coupled to political conditions. For instance, contemporary neoliberalism in Canadian agriculture modifies settler colonial structures to be sure. I argue, however, that political economic analyses of land and food production in Canada (such as corporate concentration, land grabbing and farm consolidation) ought to better integrate the systemic forces of settler colonialism that have conditioned land access in the first place. Of course, determining who is able to access land and thus, who is able to grow food continues to be a territorial struggle. Thus, in order to shift these conditions we ought to examine how those with access and control have acquired and maintained it.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
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Q6 = [0]. | abs02597 | 10.1016/j.geoforum.2017.04.010 | 'They took our beads, it was a fair trade, get over it': Settler colonial logics, racial hierarchies and material dominance in Canadian agriculture | Canada is in a liminal space, with renewed struggles for and commitments to indigenous land and food sovereignty on one hand, and growing capital interest in land governance and agriculture on the other. While neoliberal capital increasingly accumulates land-based control, settler-farming communities still manage much of Canada's arable land. This research draws on studies of settler colonialism, racial hierarchy and othering to connect the ideological with the material forces of settler colonialism and show how material dominance is maintained through colonial logics and racially ordered narratives. Through in-depth interviews, I investigate how white settler farmers perceive and construct two distinctly 'othered' groups: Indigenous peoples and migrant farmers and farm workers. Further, I show the disparate role of land and labour in constructing each group, and specifically, the cultural and material benefits of these constructions for land-based settler populations. At the same time, settler colonial structures and logics remain reciprocally coupled to political conditions. For instance, contemporary neoliberalism in Canadian agriculture modifies settler colonial structures to be sure. I argue, however, that political economic analyses of land and food production in Canada (such as corporate concentration, land grabbing and farm consolidation) ought to better integrate the systemic forces of settler colonialism that have conditioned land access in the first place. Of course, determining who is able to access land and thus, who is able to grow food continues to be a territorial struggle. Thus, in order to shift these conditions we ought to examine how those with access and control have acquired and maintained it. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Sacred Mountains in the highlands of the South-Central Andes."
Abstract:"Drawn by the rich pre-Columbian legacy of the region, we studied the prehistoric groups of peoples who have settled in the high canyons of Atacama (above 3000 m), on the western slopes of the South-Central Andes, for the past 30 years. The traditional culture of the present-day indigenous Andean population enabled us to interpret the material remains left by pre-Columbian peoples, especially their particular way of understanding and occupying the land, knowledge of its flora and fauna, beliefs related to the sacredness that permeates all aspects of their lives, and their way of inhabiting the landscape that surrounds them. Ethnographic research is a priority in the highlands of northern Chile because the harnessing of water for industrial and urban use has dramatically reduced extensive areas of pastureland, springs, and streams. This progressively restricts the possibility for flora, fauna, and humans to survive in traditional settlements and stimulates gradual, forced migration toward the urban enclaves of the desert. Our research aims to present some aspects of our archaeological and ethnographic work and, especially, to explore ideological aspects related to the mountains in this region, from pre-Hispanic to the present.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [0]. | abs04837 | 10.1659/0276-4741(2003)023[0073:SMITHO]2.0.CO;2 | Sacred Mountains in the highlands of the South-Central Andes | Drawn by the rich pre-Columbian legacy of the region, we studied the prehistoric groups of peoples who have settled in the high canyons of Atacama (above 3000 m), on the western slopes of the South-Central Andes, for the past 30 years. The traditional culture of the present-day indigenous Andean population enabled us to interpret the material remains left by pre-Columbian peoples, especially their particular way of understanding and occupying the land, knowledge of its flora and fauna, beliefs related to the sacredness that permeates all aspects of their lives, and their way of inhabiting the landscape that surrounds them. Ethnographic research is a priority in the highlands of northern Chile because the harnessing of water for industrial and urban use has dramatically reduced extensive areas of pastureland, springs, and streams. This progressively restricts the possibility for flora, fauna, and humans to survive in traditional settlements and stimulates gradual, forced migration toward the urban enclaves of the desert. Our research aims to present some aspects of our archaeological and ethnographic work and, especially, to explore ideological aspects related to the mountains in this region, from pre-Hispanic to the present. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Eliminating Health Disparities Understanding This Important Phenomenon."
Abstract:"Since the formation of the United States in early times, diversity has always been a reality. With the immigration of diverse whites from Europe, the importation of black slaves from Africa, and the presence of the preexisting Native American populations, diversity has long been a fact of life in this country. However, one of the long-standing priorities of the United States has been good health'' for all the people. The broad diversity of the population has presented a tremendous challenge to health care. This article addresses this important topic by looking at the concept of health disparity from a biopsychosocial perspective and further by describing disparities that are present in the United States among the 2 major ethnic minority groups, African Americans and Mexican Americans. Many other health disparities could be considered in other groups, but space limits of article allow only the 2 major ethnic minority groups to be addressed.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs04515 | 10.1097/01.HCM.0000285013.88278.1e | Eliminating Health Disparities Understanding This Important Phenomenon | Since the formation of the United States in early times, diversity has always been a reality. With the immigration of diverse whites from Europe, the importation of black slaves from Africa, and the presence of the preexisting Native American populations, diversity has long been a fact of life in this country. However, one of the long-standing priorities of the United States has been good health'' for all the people. The broad diversity of the population has presented a tremendous challenge to health care. This article addresses this important topic by looking at the concept of health disparity from a biopsychosocial perspective and further by describing disparities that are present in the United States among the 2 major ethnic minority groups, African Americans and Mexican Americans. Many other health disparities could be considered in other groups, but space limits of article allow only the 2 major ethnic minority groups to be addressed. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Offshore Desires Mobility, Liquidity and History in Shakespeare's Mediterranean."
Abstract:"This article probes the ability of Shakespearean drama to provide expressive resources for coming to terms (conceptually, discursively) with current crises. These include both the power games of global finance, and those disasters that ostensibly concern other strands of geopolitics. The article focuses on two plays, The Comedy of Errors and Pericles, the actions of which unfold in the eastern Mediterranean - an area of the world associated, in the late modern imagination, either with mobility as pleasure (mass tourism and its apparatus) or mobility as crisis (disputed territories, the plight of displaced populations). It highlights the close bonds between prevalent modes - satire and farce in The Comedy of Errors, romance in Pericles - and the plays' distinct strategies for representing human mobility: the sense of agency proper to acquisitive urges, the victimhood of forced displacement.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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]. | abs10050 | 10.3167/cs.2018.300304 | Offshore Desires Mobility, Liquidity and History in Shakespeare's Mediterranean | This article probes the ability of Shakespearean drama to provide expressive resources for coming to terms (conceptually, discursively) with current crises. These include both the power games of global finance, and those disasters that ostensibly concern other strands of geopolitics. The article focuses on two plays, The Comedy of Errors and Pericles, the actions of which unfold in the eastern Mediterranean - an area of the world associated, in the late modern imagination, either with mobility as pleasure (mass tourism and its apparatus) or mobility as crisis (disputed territories, the plight of displaced populations). It highlights the close bonds between prevalent modes - satire and farce in The Comedy of Errors, romance in Pericles - and the plays' distinct strategies for representing human mobility: the sense of agency proper to acquisitive urges, the victimhood of forced displacement. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 Cancer Diaspora: Metastasis beyond the Seed and Soil Hypothesis."
Abstract:"Do cancer cells escape the confinement of their original habitat in the primary tumor or are they forced out by ecologic changes in their home niche? Describing metastasis in terms of a simple one-way migration of cells from the primary to the target organs is an insufficient concept to cover the nuances of cancer spread. A diaspora is the scattering of people away from an established homeland. To date, diaspora has been a uniquely human term used by social scientists; however, the application of the diaspora concept to metastasis may yield new biologic insights as well as therapeutic paradigms. The diaspora paradigm takes into account, and models, several variables including: the quality of the primary tumor microenvironment, the fitness of individual cancer cell migrants as well as migrant populations, the rate of bidirectional migration of cancer and host cells between cancer sites, and the quality of the target microenvironments to establish metastatic sites. Ecologic scientific principles can be applied to the cancer diaspora to develop new therapeutic strategies. For example, ecologic traps - habitats that lead to the extinction of a species - can be developed to attract cancer cells to a place where they can be better exposed to treatments or to cells of the immune system for improved antigen presentation. Merging the social science concept of diaspora with ecologic and population sciences concepts can inform the cancer field to understand the biology of tumorigenesis and metastasis and inspire new ideas for therapy.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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 = [0]. | abs20527 | 10.1158/1078-0432.CCR-13-2158 | The Cancer Diaspora: Metastasis beyond the Seed and Soil Hypothesis | Do cancer cells escape the confinement of their original habitat in the primary tumor or are they forced out by ecologic changes in their home niche? Describing metastasis in terms of a simple one-way migration of cells from the primary to the target organs is an insufficient concept to cover the nuances of cancer spread. A diaspora is the scattering of people away from an established homeland. To date, diaspora has been a uniquely human term used by social scientists; however, the application of the diaspora concept to metastasis may yield new biologic insights as well as therapeutic paradigms. The diaspora paradigm takes into account, and models, several variables including: the quality of the primary tumor microenvironment, the fitness of individual cancer cell migrants as well as migrant populations, the rate of bidirectional migration of cancer and host cells between cancer sites, and the quality of the target microenvironments to establish metastatic sites. Ecologic scientific principles can be applied to the cancer diaspora to develop new therapeutic strategies. For example, ecologic traps - habitats that lead to the extinction of a species - can be developed to attract cancer cells to a place where they can be better exposed to treatments or to cells of the immune system for improved antigen presentation. Merging the social science concept of diaspora with ecologic and population sciences concepts can inform the cancer field to understand the biology of tumorigenesis and metastasis and inspire new ideas for therapy. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Political violence, migration, lack of citizenship, and agrobiodiversity loss in the borderlands of Thailand and Laos."
Abstract:"In the 1970s and 1980s, the borderlands between southern Laos, northeastern Thailand and northern Cambodia were a hotbed of militarized conflict and insurgent activity. Various armed groups, on the political left and right, operated in what was later referred to as the Emerald Triangle. This article considers how ethnic Kuy (Souay) Indigenous peoples from the Lao side of the border in Mounlapoumok District, Champasak Province, southern Laos, fled to neighboring parts of Ubon Ratchathani Province, northeastern Thailand as political refugees after Pathet Lao communists took over Laos in 1975. Many later became stateless insurgents fighting for Lao anticommunist groups opposed to the Lao People's Democratic Republic. In particular, the article considers the influence of political armed conflict on migration and citizenship status, and subsequently on agrobiodiversity loss, particularly of native varieties of upland rice cultivated in swidden fields. This includes considering the structural violence associated with Thai government policies and practices related to forest conservation and preventing swidden cultivation. Agrobiodiversity loss was not centrally influenced by political violence, but it significantly influenced the conditions that affected agrobiodiversity, emphasizing the potential usefulness of studying political violence and agrobiodiversity loss through considering indirect influences.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5,6];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [0]. | abs09341 | 10.1016/j.geoforum.2021.02.018 | Political violence, migration, lack of citizenship, and agrobiodiversity loss in the borderlands of Thailand and Laos | In the 1970s and 1980s, the borderlands between southern Laos, northeastern Thailand and northern Cambodia were a hotbed of militarized conflict and insurgent activity. Various armed groups, on the political left and right, operated in what was later referred to as the Emerald Triangle. This article considers how ethnic Kuy (Souay) Indigenous peoples from the Lao side of the border in Mounlapoumok District, Champasak Province, southern Laos, fled to neighboring parts of Ubon Ratchathani Province, northeastern Thailand as political refugees after Pathet Lao communists took over Laos in 1975. Many later became stateless insurgents fighting for Lao anticommunist groups opposed to the Lao People's Democratic Republic. In particular, the article considers the influence of political armed conflict on migration and citizenship status, and subsequently on agrobiodiversity loss, particularly of native varieties of upland rice cultivated in swidden fields. This includes considering the structural violence associated with Thai government policies and practices related to forest conservation and preventing swidden cultivation. Agrobiodiversity loss was not centrally influenced by political violence, but it significantly influenced the conditions that affected agrobiodiversity, emphasizing the potential usefulness of studying political violence and agrobiodiversity loss through considering indirect influences. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"An ongoing challenge: The impact of federal policies on organisations, communities and individuals serving people seeking asylum."
Abstract:"The world is facing unprecedented numbers of people forcibly displaced, and there is a need for an enhanced global response. In turn, there are significant implications for those seeking asylum and the service providers working with them. Using thematic analysis, the current research analyses qualitative data from 16 semi-structured interviews with individuals providing services to people seeking asylum in Australia, exploring the relevance of policy to service providers. There were two meta-themes identified that linked government policies to their adverse impacts (1) on asylum seekers and on staff and volunteers, and (2) on organisations and their service provision. Participants identified changing and unpredictable policies, the uncertainty over lengthy application review processes for those seeking asylum, and the limited access to resources and financial supports available as impacting service delivery and overall well-being. The findings highlighted the negative impact of federal policies on those seeking asylum, and on service provider and organisational capacity to provide services and to fulfil their duty of care. Participants highlighted how changing policies compromise their ability to plan for current and future needs and add further strain and uncertainty to the system. The findings can inform Australian conversations on policy and practice for people seeking asylum.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article 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 = [0]. | abs05699 | 10.1002/ajs4.194 | An ongoing challenge: The impact of federal policies on organisations, communities and individuals serving people seeking asylum | The world is facing unprecedented numbers of people forcibly displaced, and there is a need for an enhanced global response. In turn, there are significant implications for those seeking asylum and the service providers working with them. Using thematic analysis, the current research analyses qualitative data from 16 semi-structured interviews with individuals providing services to people seeking asylum in Australia, exploring the relevance of policy to service providers. There were two meta-themes identified that linked government policies to their adverse impacts (1) on asylum seekers and on staff and volunteers, and (2) on organisations and their service provision. Participants identified changing and unpredictable policies, the uncertainty over lengthy application review processes for those seeking asylum, and the limited access to resources and financial supports available as impacting service delivery and overall well-being. The findings highlighted the negative impact of federal policies on those seeking asylum, and on service provider and organisational capacity to provide services and to fulfil their duty of care. Participants highlighted how changing policies compromise their ability to plan for current and future needs and add further strain and uncertainty to the system. The findings can inform Australian conversations on policy and practice for people seeking asylum. |
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