text
stringlengths 2.68k
5.75k
| id
stringlengths 8
8
| doi
stringlengths 12
64
| title
stringlengths 12
269
| abstract
stringlengths 108
8.42k
|
|---|---|---|---|---|
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Heading for the hills: climate-driven community relocations in the Solomon Islands and Alaska provide insight for a 1.5°C future."
Abstract:"Whilst future air temperature thresholds have become the centrepiece of international climate negotiations, even the most ambitious target of 1.5 degrees C will result in significant sea-level rise and associated impacts on human populations globally. Of additional concern in Arctic regions is declining sea ice and warming permafrost which can increasingly expose coastal areas to erosion particularly through exposure to wave action due to storm activity. Regional variability over the past two decades provides insight into the coastal and human responses to anticipated future rates of sea-level rise under 1.5 degrees C scenarios. Exceeding 1.5 degrees C will generate sea-level rise scenarios beyond that currently experienced and substantially increase the proportion of the global population impacted. Despite these dire challenges, there has been limited analysis of how, where and why communities will relocate inland in response. Here, we present case studies of local responses to coastal erosion driven by sea-level rise and warming in remote indigenous communities of the Solomon Islands and Alaska, USA, respectively. In both the Solomon Islands and the USA, there is no national government agency that has the organisational and technical capacity and resources to facilitate a community-wide relocation. In the Solomon Islands, communities have been able to draw on flexible land tenure regimes to rapidly adapt to coastal erosion through relocations. These relocations have led to ad hoc fragmentation of communities into smaller hamlets. Government-supported relocation initiatives in both countries have been less successful in the short term due to limitations of land tenure, lacking relocation governance framework, financial support and complex planning processes. These experiences from the Solomon Islands and USA demonstrate the urgent need to create a relocation governance framework that protects people's human rights.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [1,2];
Q3 = [];
Q4 = [14,22];
Q5 = [];
Q6 = [1]. | abs19048 | 10.1007/s10113-017-1256-8 | Heading for the hills: climate-driven community relocations in the Solomon Islands and Alaska provide insight for a 1.5°C future | Whilst future air temperature thresholds have become the centrepiece of international climate negotiations, even the most ambitious target of 1.5 degrees C will result in significant sea-level rise and associated impacts on human populations globally. Of additional concern in Arctic regions is declining sea ice and warming permafrost which can increasingly expose coastal areas to erosion particularly through exposure to wave action due to storm activity. Regional variability over the past two decades provides insight into the coastal and human responses to anticipated future rates of sea-level rise under 1.5 degrees C scenarios. Exceeding 1.5 degrees C will generate sea-level rise scenarios beyond that currently experienced and substantially increase the proportion of the global population impacted. Despite these dire challenges, there has been limited analysis of how, where and why communities will relocate inland in response. Here, we present case studies of local responses to coastal erosion driven by sea-level rise and warming in remote indigenous communities of the Solomon Islands and Alaska, USA, respectively. In both the Solomon Islands and the USA, there is no national government agency that has the organisational and technical capacity and resources to facilitate a community-wide relocation. In the Solomon Islands, communities have been able to draw on flexible land tenure regimes to rapidly adapt to coastal erosion through relocations. These relocations have led to ad hoc fragmentation of communities into smaller hamlets. Government-supported relocation initiatives in both countries have been less successful in the short term due to limitations of land tenure, lacking relocation governance framework, financial support and complex planning processes. These experiences from the Solomon Islands and USA demonstrate the urgent need to create a relocation governance framework that protects people's human rights. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"OBSTACLES ON THE ROAD TO PROTECTION: ASSESSING THE TREATMENT OF SEX-TRAFFICKING VICTIMS UNDER AUSTRALIA'S MIGRATION AND REFUGEE LAW."
Abstract:"In recent years both the international community and the Australian Government have renewed efforts to address the problem of sex-trafficking. This reflects the growing recognition that effectively addressing the issue of trafficking requires more than a criminal law enforcement or immigration compliance approach; it also requires an acknowledgement of the human rights and protection needs of trafficking victims. From this perspective, the article critically examines Australia's response to the protection needs of persons trafficked to the country for the purposes of sexual enslavement in light of Australia's obligations under international law. The article first reviews recent amendments to the Migration Act 1958 (Cth) which provide some respite from mandatory detention and deportation to victims of trafficking who are willing and able to assist in the prosecution of sex-traffickers. While in some respects a positive development, this analysis reveals serious deficiencies in the regime. The article then considers the manner in which Australia has offered protection to trafficking victims pursuant to its existing obligations under the Convention relating to the Status of Refugees. The major part of the article is dedicated to an examination of the way in which Australian courts and tribunals have assessed refugee claims of trafficked women. While foreign jurisprudence and guidance from the United Nations High Commissioner for Refugees demonstrate that the Refugee Convention can clearly encompass trafficking-related claims, it will be argued that, in Australia, art 1A(2) continues to be interpreted and applied in a way that overlooks how gender intersects with social, cultural and economic norms to oppress women and subject them to discriminatory harm.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [6];
Q3 = [1];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs16569 | gen.2008.81381646 | OBSTACLES ON THE ROAD TO PROTECTION: ASSESSING THE TREATMENT OF SEX-TRAFFICKING VICTIMS UNDER AUSTRALIA'S MIGRATION AND REFUGEE LAW | In recent years both the international community and the Australian Government have renewed efforts to address the problem of sex-trafficking. This reflects the growing recognition that effectively addressing the issue of trafficking requires more than a criminal law enforcement or immigration compliance approach; it also requires an acknowledgement of the human rights and protection needs of trafficking victims. From this perspective, the article critically examines Australia's response to the protection needs of persons trafficked to the country for the purposes of sexual enslavement in light of Australia's obligations under international law. The article first reviews recent amendments to the Migration Act 1958 (Cth) which provide some respite from mandatory detention and deportation to victims of trafficking who are willing and able to assist in the prosecution of sex-traffickers. While in some respects a positive development, this analysis reveals serious deficiencies in the regime. The article then considers the manner in which Australia has offered protection to trafficking victims pursuant to its existing obligations under the Convention relating to the Status of Refugees. The major part of the article is dedicated to an examination of the way in which Australian courts and tribunals have assessed refugee claims of trafficked women. While foreign jurisprudence and guidance from the United Nations High Commissioner for Refugees demonstrate that the Refugee Convention can clearly encompass trafficking-related claims, it will be argued that, in Australia, art 1A(2) continues to be interpreted and applied in a way that overlooks how gender intersects with social, cultural and economic norms to oppress women and subject them to discriminatory harm. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 road through the Bolivian Amazon: A multi-level land governance analysis of deforestation."
Abstract:"Previous studies have shown that collective property rights offer higher flexibility than individual property and improve sustainable community-based forest management. Our case study, carried out in the Beni department of Bolivia, does not contradict this assertion, but shows that collective rights have been granted in areas where ecological contexts and market facilities were less favourable to intensive land use. Previous experiences suggest investigating political processes in order to understand the criteria according to which access rights were distributed. Based on remote sensing and on a multi-level land governance framework, our research confirms that land placed under collective rights, compared to individual property, is less affected by deforestation among Andean settlements. However, analysis of the historical process of land distribution in the area shows that the distribution of property rights is the result of a political process based on economic, spatial, and environmental strategies that are defined by multiple stakeholders. Collective titles were established in the more remote areas and distributed to communities with lower productive potentialities. Land rights are thus a secondary factor of forest cover change which results from diverse political compromises based on population distribution, accessibility, environmental perceptions, and expected production or extraction incomes. (C) 2012 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 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [0]. | abs03657 | 10.1016/j.landusepol.2012.03.010 | On the road through the Bolivian Amazon: A multi-level land governance analysis of deforestation | Previous studies have shown that collective property rights offer higher flexibility than individual property and improve sustainable community-based forest management. Our case study, carried out in the Beni department of Bolivia, does not contradict this assertion, but shows that collective rights have been granted in areas where ecological contexts and market facilities were less favourable to intensive land use. Previous experiences suggest investigating political processes in order to understand the criteria according to which access rights were distributed. Based on remote sensing and on a multi-level land governance framework, our research confirms that land placed under collective rights, compared to individual property, is less affected by deforestation among Andean settlements. However, analysis of the historical process of land distribution in the area shows that the distribution of property rights is the result of a political process based on economic, spatial, and environmental strategies that are defined by multiple stakeholders. Collective titles were established in the more remote areas and distributed to communities with lower productive potentialities. Land rights are thus a secondary factor of forest cover change which results from diverse political compromises based on population distribution, accessibility, environmental perceptions, and expected production or extraction incomes. (C) 2012 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:"Uncovering Community Cultural Wealth Through an Early Intervention Program: Syrian Refugee Children Speaking."
Abstract:"The voices of young refugee children are often unheard and unacknowledged in early childhood research. Deficit views that perpetuate their vulnerability and victimization pervade research and media. Such omnipresent views need to be challenged by foregrounding and capitalizing on the strengths, agency, and resilience of refugee children. Grounded in the Community Cultural Wealth framework, this study aimed to explore the aspects of cultural wealth among Syrian refugee children through their subjective perspectives about their experiences in attending a preschool intervention program and resettlement lives in Turkey. Drawing upon the research with children paradigm, individual pictorial interviews were conducted with 36 refugee children based on visually-enriched child-friendly methods that echoed the photo-elicitation technique. Findings revealed the various funds of assets, skills, and knowledges possessed and employed by children within six cultural wealth capitals: Navigational, social, familial, linguistic, resistant, and aspirational capital. Diverse facets of cultural wealth captured in these capitals suggest the strengths, agency, and resilience of refugee children in their educational experiences and adaptation processes to their new lives in resettlement communities. Findings also highlight their understanding of social and racial justice against inequalities of forced displacement, xenophobia, and social exclusion. Children's overall human capital and strengths-based portrayal serve as an antidote to their existing deficit views and marginalized narratives. This study is the first to uncover early education and life experiences of young Syrian children by directly working with them and spotlighting their own voices. Findings have implications for early childhood research and practitioners working with refugee children.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,7];
Q3 = [2];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs11058 | 10.1007/s10643-020-01140-7 | Uncovering Community Cultural Wealth Through an Early Intervention Program: Syrian Refugee Children Speaking | The voices of young refugee children are often unheard and unacknowledged in early childhood research. Deficit views that perpetuate their vulnerability and victimization pervade research and media. Such omnipresent views need to be challenged by foregrounding and capitalizing on the strengths, agency, and resilience of refugee children. Grounded in the Community Cultural Wealth framework, this study aimed to explore the aspects of cultural wealth among Syrian refugee children through their subjective perspectives about their experiences in attending a preschool intervention program and resettlement lives in Turkey. Drawing upon the research with children paradigm, individual pictorial interviews were conducted with 36 refugee children based on visually-enriched child-friendly methods that echoed the photo-elicitation technique. Findings revealed the various funds of assets, skills, and knowledges possessed and employed by children within six cultural wealth capitals: Navigational, social, familial, linguistic, resistant, and aspirational capital. Diverse facets of cultural wealth captured in these capitals suggest the strengths, agency, and resilience of refugee children in their educational experiences and adaptation processes to their new lives in resettlement communities. Findings also highlight their understanding of social and racial justice against inequalities of forced displacement, xenophobia, and social exclusion. Children's overall human capital and strengths-based portrayal serve as an antidote to their existing deficit views and marginalized narratives. This study is the first to uncover early education and life experiences of young Syrian children by directly working with them and spotlighting their own voices. Findings have implications for early childhood research and practitioners working with refugee children. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 Politics of Vulnerability in Refugee Admissions Under the EU-Turkey Statement."
Abstract:"Resettlement and humanitarian admission programs claim to target 'particularly vulnerable', or 'the most vulnerable' refugees. If the limited spots of such programs are indeed foreseen for particularly vulnerable groups and individuals, as resettlement actors claim, how is vulnerability defined in policies and put into practice at the frontline? Taking European states' recent admission programs under the EU-Turkey statement as an example, and focusing on Germany as an admission country, this research note sheds light on this question. Drawing on document analysis, and original fieldwork insights, we show that on paper and in practice vulnerability as a policy category designates some social groups as per se more vulnerable than others, rather than accounting for contingent reasons of vulnerability. In policy documents, the operational definition of vulnerability and its relation to other criteria remain largely undefined. In selection practices, additional criteria curtail a purely vulnerability-based selection, exacerbate existing or create new vulnerabilities in their own right. We conclude that, in the absence of clear definitions, resettlement and humanitarian admission programs' declared focus on the most vulnerable remains a discretionary promise, with limited possibilities of political and legal scrutiny.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [5];
Q3 = [1];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs10868 | 10.3389/fpos.2021.622921 | The Politics of Vulnerability in Refugee Admissions Under the EU-Turkey Statement | Resettlement and humanitarian admission programs claim to target 'particularly vulnerable', or 'the most vulnerable' refugees. If the limited spots of such programs are indeed foreseen for particularly vulnerable groups and individuals, as resettlement actors claim, how is vulnerability defined in policies and put into practice at the frontline? Taking European states' recent admission programs under the EU-Turkey statement as an example, and focusing on Germany as an admission country, this research note sheds light on this question. Drawing on document analysis, and original fieldwork insights, we show that on paper and in practice vulnerability as a policy category designates some social groups as per se more vulnerable than others, rather than accounting for contingent reasons of vulnerability. In policy documents, the operational definition of vulnerability and its relation to other criteria remain largely undefined. In selection practices, additional criteria curtail a purely vulnerability-based selection, exacerbate existing or create new vulnerabilities in their own right. We conclude that, in the absence of clear definitions, resettlement and humanitarian admission programs' declared focus on the most vulnerable remains a discretionary promise, with limited possibilities of political and legal scrutiny. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Determinants of the Choice of Migration Destination."
Abstract:"This paper examines migrants' choice of destination conditional on migration. The study uses data from two rounds of Nepal Living Standard Surveys and a Population Census and examine how the choice of a migration destination is influenced by various covariates, including income differentials across possible destinations. We find that migrants move primarily to nearby, high population density areas where many people share their language and ethnic background. Better access to amenities is significant as well. Differentials in average income across destination districts are significant in univariate comparisons but not once we control for other covariates. Differentials in consumption expenditures are statistically significant but smaller in magnitude than other determinants. It is differentials in absolute, not relative, consumption between destination districts that are correlated with the destination of work migrants. Except for the latter, results are robust to different specifications and datasets.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs20548 | 10.1111/j.1468-0084.2012.00706.x | Determinants of the Choice of Migration Destination | This paper examines migrants' choice of destination conditional on migration. The study uses data from two rounds of Nepal Living Standard Surveys and a Population Census and examine how the choice of a migration destination is influenced by various covariates, including income differentials across possible destinations. We find that migrants move primarily to nearby, high population density areas where many people share their language and ethnic background. Better access to amenities is significant as well. Differentials in average income across destination districts are significant in univariate comparisons but not once we control for other covariates. Differentials in consumption expenditures are statistically significant but smaller in magnitude than other determinants. It is differentials in absolute, not relative, consumption between destination districts that are correlated with the destination of work migrants. Except for the latter, results are robust to different specifications and datasets. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 Mind of Winter: The Transformative Experience of Estrangement by a Stateless Kurd in Exile in Denmark."
Abstract:"This article explores the transformative experience of estrangement by a Kurdish Iranian refugee named Hiwa in exile in Denmark. Through a person-centered approach, I focus on what was at stake for stateless people, such as Hiwa, at a time when right-wing populist asylum politics made achieving permanent citizenship an uphill battle and leaving Denmark impossible due to the Dublin Regulation. Drawing on psychoanalytic theories of the multiple self, I describe Hiwa's changing self-states as involving a triple reorientation in the form of an estranged relationship to his past, present, and envisioned future. I analyze this transformative experience as linked to an existential quest to find a space between the struggle for freedom and submission to a sense of powerlessness-experiences that sometimes elude conventional language. Finally, I suggest that reading poetry and writing about exile constituted a transitional experience enabling an inner world of emotions to be expressed. The article provides a window to the human consequences of the Paradigm Shift in Danish asylum politics, which entailed making all residence permits temporary-and more broadly to the growing problem of statelessness in Europe.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [5];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs05608 | 10.1111/etho.12315 | A Mind of Winter: The Transformative Experience of Estrangement by a Stateless Kurd in Exile in Denmark | This article explores the transformative experience of estrangement by a Kurdish Iranian refugee named Hiwa in exile in Denmark. Through a person-centered approach, I focus on what was at stake for stateless people, such as Hiwa, at a time when right-wing populist asylum politics made achieving permanent citizenship an uphill battle and leaving Denmark impossible due to the Dublin Regulation. Drawing on psychoanalytic theories of the multiple self, I describe Hiwa's changing self-states as involving a triple reorientation in the form of an estranged relationship to his past, present, and envisioned future. I analyze this transformative experience as linked to an existential quest to find a space between the struggle for freedom and submission to a sense of powerlessness-experiences that sometimes elude conventional language. Finally, I suggest that reading poetry and writing about exile constituted a transitional experience enabling an inner world of emotions to be expressed. The article provides a window to the human consequences of the Paradigm Shift in Danish asylum politics, which entailed making all residence permits temporary-and more broadly to the growing problem of statelessness in Europe. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 population movements and regional Plasmodium falciparum malaria elimination strategies."
Abstract:"Calls for the eradication of malaria require the development of global and regional strategies based on a strong and consistent evidence base. Evidence from the previous global malaria eradication program and more recent transborder control campaigns have shown the importance of accounting for human movement in introducing infections to areas targeted for elimination. Here, census-based migration data were analyzed with network analysis tools, Plasmodium falciparum malaria transmission maps, and global population databases to map globally communities of countries linked by relatively high levels of infection movements. The likely principal sources and destinations of imported cases in each region were also mapped. Results indicate that certain groups of countries, such as those in West Africa and central Asia are much more strongly connected by relatively high levels of population and infection movement than others. In contrast, countries such as Ethiopia and Myanmar display significantly greater isolation in terms of likely infection movements in and out. The mapping here of both communities of countries linked by likely higher levels of infection movement, and natural migration boundaries that display reduced movement of people and infections between regions has practical utility. These maps can inform the design of malaria elimination strategies by identifying regional communities of countries afforded protection from recolonization by surrounding regions of reduced migration. For more isolated countries, a nationally focused control or elimination program is likely to stand a better chance of success than those receiving high levels of visitors and migrants from high-transmission regions.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [2];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [1]. | abs20690 | 10.1073/pnas.1002971107 | International population movements and regional Plasmodium falciparum malaria elimination strategies | Calls for the eradication of malaria require the development of global and regional strategies based on a strong and consistent evidence base. Evidence from the previous global malaria eradication program and more recent transborder control campaigns have shown the importance of accounting for human movement in introducing infections to areas targeted for elimination. Here, census-based migration data were analyzed with network analysis tools, Plasmodium falciparum malaria transmission maps, and global population databases to map globally communities of countries linked by relatively high levels of infection movements. The likely principal sources and destinations of imported cases in each region were also mapped. Results indicate that certain groups of countries, such as those in West Africa and central Asia are much more strongly connected by relatively high levels of population and infection movement than others. In contrast, countries such as Ethiopia and Myanmar display significantly greater isolation in terms of likely infection movements in and out. The mapping here of both communities of countries linked by likely higher levels of infection movement, and natural migration boundaries that display reduced movement of people and infections between regions has practical utility. These maps can inform the design of malaria elimination strategies by identifying regional communities of countries afforded protection from recolonization by surrounding regions of reduced migration. For more isolated countries, a nationally focused control or elimination program is likely to stand a better chance of success than those receiving high levels of visitors and migrants from high-transmission regions. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Moderating Influence of Enculturation on the Relations Between Minority Stressors and Physical Health via Anxiety in Latinx Immigrants."
Abstract:"Objectives: The Latinx population in the United States has grown rapidly, now standing at over 56 million people. Discrimination and acculturative stress have been found to affect the mental and physical health of Latinx immigrants, yet enculturation has been identified as an important cultural strength for this population. The purpose of this study was to examine the relations among minority stressors, anxiety, and physical health in a sample of Latinx immigrants living in the United States. A secondary aim was to examine whether the direct and indirect effects among these variables were moderated by enculturation (i.e., moderated mediation). Method: A community sample of 202 Latinx immigrants completed questionnaires measuring these constructs. Results: Both acculturative stress (b = -1.68, p < .001) and discrimination (b = -1.69, p < .001) yielded direct effects on physical health, as well as indirect effects (b = -.10, 95% confidence interval [-.23, -.01]; b = -.21, 95% confidence interval [ -.40, -.08], respectively) through anxiety. Conclusions: Psychologists and allied health care providers are recommended to assess for the impact of minority stressors on anxiety and physical health when providing care to Latinx immigrants. Future intervention research targeting Latinx mental and physical health can consider ways to include innate cultural strengths like enculturation and partner with Latinx cultural centers, churches, and local communities to make enculturation more salient.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs01543 | 10.1037/cdp0000308 | Moderating Influence of Enculturation on the Relations Between Minority Stressors and Physical Health via Anxiety in Latinx Immigrants | Objectives: The Latinx population in the United States has grown rapidly, now standing at over 56 million people. Discrimination and acculturative stress have been found to affect the mental and physical health of Latinx immigrants, yet enculturation has been identified as an important cultural strength for this population. The purpose of this study was to examine the relations among minority stressors, anxiety, and physical health in a sample of Latinx immigrants living in the United States. A secondary aim was to examine whether the direct and indirect effects among these variables were moderated by enculturation (i.e., moderated mediation). Method: A community sample of 202 Latinx immigrants completed questionnaires measuring these constructs. Results: Both acculturative stress (b = -1.68, p < .001) and discrimination (b = -1.69, p < .001) yielded direct effects on physical health, as well as indirect effects (b = -.10, 95% confidence interval [-.23, -.01]; b = -.21, 95% confidence interval [ -.40, -.08], respectively) through anxiety. Conclusions: Psychologists and allied health care providers are recommended to assess for the impact of minority stressors on anxiety and physical health when providing care to Latinx immigrants. Future intervention research targeting Latinx mental and physical health can consider ways to include innate cultural strengths like enculturation and partner with Latinx cultural centers, churches, and local communities to make enculturation more salient. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 homeless mind in a mobile world: An autoethnographic approach on cognitive immobility in international migration."
Abstract:"The migration phenomenon, in which the mind travels ahead of the body, especially among would-be travellers, has received scholarly attention within migration studies. Research in this area has not unpacked the cognitive migration experiences of those who have already moved. This autoethnographic article explores the feelings, thoughts and experiences of an individual living abroad in the United Kingdom but cognitively imprisoned at his ancestral home in Igbo land. It draws on the concept of cognitive migration and the author's own experiences and feelings to introduce and explain the phenomenon of cognitive immobility, which exemplifies the dialectical conflict between the aspirations of longing for and emotions of belonging to a place against a simultaneous desire to remain distant from it. This article advocates the recognition of this cognitive experience of being trapped in place while mobilised in-person elsewhere in migration studies, providing a lens to view such experiences that have erstwhile received inadequate attention. This article contributes to the growing body of knowledge in relation to cognitive migration processes and experiences of those contemplating or participating in human 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 = [1];
Q2 = [];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs17642 | 10.1177/1354067X221111456 | The homeless mind in a mobile world: An autoethnographic approach on cognitive immobility in international migration | The migration phenomenon, in which the mind travels ahead of the body, especially among would-be travellers, has received scholarly attention within migration studies. Research in this area has not unpacked the cognitive migration experiences of those who have already moved. This autoethnographic article explores the feelings, thoughts and experiences of an individual living abroad in the United Kingdom but cognitively imprisoned at his ancestral home in Igbo land. It draws on the concept of cognitive migration and the author's own experiences and feelings to introduce and explain the phenomenon of cognitive immobility, which exemplifies the dialectical conflict between the aspirations of longing for and emotions of belonging to a place against a simultaneous desire to remain distant from it. This article advocates the recognition of this cognitive experience of being trapped in place while mobilised in-person elsewhere in migration studies, providing a lens to view such experiences that have erstwhile received inadequate attention. This article contributes to the growing body of knowledge in relation to cognitive migration processes and experiences of those contemplating or participating in human 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:"Exploring population redistribution at sub-municipal levels - Microurbanisation and messy migration in Sweden's high North."
Abstract:"To contribute to more balanced perspectives on sub-municipal population change in sparsely populated areas (SPAs), this paper closely examines a local pocket of growth in a shrinking Northern Swedish municipality. Integrating Swedish register data with in-depth qualitative insights, the geographic study examines patterns and processes of uneven local population dynamics linked to life course migration. This is done through a socio-spatial cluster analysis containing, first, 15 aggregate socioeconomic variables for sub-municipal areas, and then individual characteristics like birth countries, age groups, sex ratios, educational attainment, and employment status. A Foresight approach and interviews with locals, municipal officials, and incoming lifestyle migrants complement this. Studying these individuals' practical compromises regarding housing, income, and leisure at sub-municipal levels helps in overcoming fallacies in population change research at broader regional levels, and illustrates the limits of relying solely on quantitative demographic change indicators. The paper shows that urban traits in the municipal centre and rural natural amenities around a dogsledding trail combine to attract and retain different population groups. This adds to population change studies and shows that municipal administrative centres in SPAs are not necessarily growing while other villages are declining, and that population redistribution at the municipal level does not automatically imply the movement of people to municipal centres from a municipality's minor villages.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs19771 | 10.1016/j.jrurstud.2022.01.010 | Exploring population redistribution at sub-municipal levels - Microurbanisation and messy migration in Sweden's high North | To contribute to more balanced perspectives on sub-municipal population change in sparsely populated areas (SPAs), this paper closely examines a local pocket of growth in a shrinking Northern Swedish municipality. Integrating Swedish register data with in-depth qualitative insights, the geographic study examines patterns and processes of uneven local population dynamics linked to life course migration. This is done through a socio-spatial cluster analysis containing, first, 15 aggregate socioeconomic variables for sub-municipal areas, and then individual characteristics like birth countries, age groups, sex ratios, educational attainment, and employment status. A Foresight approach and interviews with locals, municipal officials, and incoming lifestyle migrants complement this. Studying these individuals' practical compromises regarding housing, income, and leisure at sub-municipal levels helps in overcoming fallacies in population change research at broader regional levels, and illustrates the limits of relying solely on quantitative demographic change indicators. The paper shows that urban traits in the municipal centre and rural natural amenities around a dogsledding trail combine to attract and retain different population groups. This adds to population change studies and shows that municipal administrative centres in SPAs are not necessarily growing while other villages are declining, and that population redistribution at the municipal level does not automatically imply the movement of people to municipal centres from a municipality's minor villages. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Brain drain in sub-Saharan Africa: contributing factors, potential remedies and the role of academic medical centres."
Abstract:"A double jeopardy exists in resource-limited settings (RLS) in sub-Saharan Africa (SSA): there are a disproportionately greater number of acutely ill patients, but a paucity of healthcare workers (HCW) to care for them. SSA has 25% of the global disease burden but only 3% of the world's HCW. Thirty-two SSA countries do not meet the WHO minimum of 23 HCW per 10000 population. Contributing factors include insufficient supply, inadequate distribution and migration. Potential remedies include international workforce policies, non-governmental organisations, national and international medical organisations' codes of conduct, inter-country collaborations, donor-directed policies and funding to train more people in-country, and health system strengthening and task-shifting. Collaborations among academic institutions from resource-rich and poor countries can help address HCW supply, distribution and migration. It is now opportune to harness bright, committed people from academic centres in resource-rich and poor settings to create long-term, collaborative relationships focused on training, clinical skills and locally relevant research endeavours, who mutually strive for HCW retention, less migration, and ultimately sufficient HCW to provide optimal care in all RLS.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [6];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs03724 | 10.1136/archdischild-2012-301900 | Brain drain in sub-Saharan Africa: contributing factors, potential remedies and the role of academic medical centres | A double jeopardy exists in resource-limited settings (RLS) in sub-Saharan Africa (SSA): there are a disproportionately greater number of acutely ill patients, but a paucity of healthcare workers (HCW) to care for them. SSA has 25% of the global disease burden but only 3% of the world's HCW. Thirty-two SSA countries do not meet the WHO minimum of 23 HCW per 10000 population. Contributing factors include insufficient supply, inadequate distribution and migration. Potential remedies include international workforce policies, non-governmental organisations, national and international medical organisations' codes of conduct, inter-country collaborations, donor-directed policies and funding to train more people in-country, and health system strengthening and task-shifting. Collaborations among academic institutions from resource-rich and poor countries can help address HCW supply, distribution and migration. It is now opportune to harness bright, committed people from academic centres in resource-rich and poor settings to create long-term, collaborative relationships focused on training, clinical skills and locally relevant research endeavours, who mutually strive for HCW retention, less migration, and ultimately sufficient HCW to provide optimal care in all RLS. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Onset of anomalous diffusion from local motion rules."
Abstract:"Anomalous diffusion processes, in particular superdiffusive ones, are known to be efficient strategies for searching and navigation in animals and also in human mobility. One way to create such regimes are Levy flights, where the walkers are allowed to perform jumps, the flights, that can eventually be very long as their length distribution is asymptotically power-law distributed. In our work, we present a model in which walkers are allowed to perform, on a one-dimensional lattice, cascades of n unitary steps instead of one jump of a randomly generated length, as in the Levy case, where n is drawn from a cascade distribution pn. We show that this local mechanism may give rise to superdiffusion or normal diffusion when pn is distributed as a power law. We also introduce waiting times that are power-law distributed as well and therefore the probability distribution scaling is steered by the two local distributions power-law exponents. As a perspective, our approach may engender a possible generalization of anomalous diffusion in context where distances are difficult to define, as in the case of complex networks, and also provide an interesting model for diffusion in temporal networks.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs14356 | 10.1103/PhysRevE.95.022113 | Onset of anomalous diffusion from local motion rules | Anomalous diffusion processes, in particular superdiffusive ones, are known to be efficient strategies for searching and navigation in animals and also in human mobility. One way to create such regimes are Levy flights, where the walkers are allowed to perform jumps, the flights, that can eventually be very long as their length distribution is asymptotically power-law distributed. In our work, we present a model in which walkers are allowed to perform, on a one-dimensional lattice, cascades of n unitary steps instead of one jump of a randomly generated length, as in the Levy case, where n is drawn from a cascade distribution pn. We show that this local mechanism may give rise to superdiffusion or normal diffusion when pn is distributed as a power law. We also introduce waiting times that are power-law distributed as well and therefore the probability distribution scaling is steered by the two local distributions power-law exponents. As a perspective, our approach may engender a possible generalization of anomalous diffusion in context where distances are difficult to define, as in the case of complex networks, and also provide an interesting model for diffusion in temporal networks. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Mass capture: the making of non-citizens and the Mainland Travel Permit for Hong Kong and Macau Residents."
Abstract:"Through an examination of the Mainland Travel Permit for Hong Kong and Macau Residents, this paper argues that there is a disjuncture between the idea of home and citizenship for mobile Chinese subjects and that this disjuncture reveals the crucial and constant work of defining non-citizens in order to safeguard citizenship. That is, non-citizens are essential for the definition of citizenship. Non-citizens are not simply there, as refugees, migrants, or stateless people. Rather, the state must engage in constant project of defining them through a process that I identify as mass capture. I develop the concept of mass capture by engaging with Agre's work differentiating surveillance from capture. Agre's insistence upon capture as a process that has a grammar, and thus a process that demands the intricacies of reading, allows for a way of understanding the state's large-scale collection of personal data in terms that take up surveillance as a logic of legibility.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [0];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [0]. | abs14537 | 10.1080/17450101.2017.1292776 | Mass capture: the making of non-citizens and the Mainland Travel Permit for Hong Kong and Macau Residents | Through an examination of the Mainland Travel Permit for Hong Kong and Macau Residents, this paper argues that there is a disjuncture between the idea of home and citizenship for mobile Chinese subjects and that this disjuncture reveals the crucial and constant work of defining non-citizens in order to safeguard citizenship. That is, non-citizens are essential for the definition of citizenship. Non-citizens are not simply there, as refugees, migrants, or stateless people. Rather, the state must engage in constant project of defining them through a process that I identify as mass capture. I develop the concept of mass capture by engaging with Agre's work differentiating surveillance from capture. Agre's insistence upon capture as a process that has a grammar, and thus a process that demands the intricacies of reading, allows for a way of understanding the state's large-scale collection of personal data in terms that take up surveillance as a logic of legibility. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 Refugee Landscape: Writing Palestinian Nationalisms in Lebanon."
Abstract:"The symbolic landscape of Rashidieh camp, Lebanon, plays an important role in the Palestinian refugee cultural and political system there. Palestinian political factions produce and display wall paintings, posters and graffiti, which promote Palestinian nationalism by prompting people to recall popular discourses of their homeland. A close reading of this landscape reveals the political divisions between different factions, which share a commitment to Palestinian nationalism but diverge in their articulation of that nationalism and how to achieve the liberation of the homeland. The landscape is both an arena through which Palestinian factions attempt to communicate with people and produce and reproduce a sense of Palestinian identity and solidarity with the Palestinian nationalist movement, and an arena through which Palestinian factions compete with each other for support from the Palestinian populace. These efforts function as one of a range of power practices performed by the dominant political factions in the camp, but ordinary people's divergent and critical readings of the landscape's messages can shed light on the workings and failures of these processes.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [5,6];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs16497 | gen.2009.60211114 | A Refugee Landscape: Writing Palestinian Nationalisms in Lebanon | The symbolic landscape of Rashidieh camp, Lebanon, plays an important role in the Palestinian refugee cultural and political system there. Palestinian political factions produce and display wall paintings, posters and graffiti, which promote Palestinian nationalism by prompting people to recall popular discourses of their homeland. A close reading of this landscape reveals the political divisions between different factions, which share a commitment to Palestinian nationalism but diverge in their articulation of that nationalism and how to achieve the liberation of the homeland. The landscape is both an arena through which Palestinian factions attempt to communicate with people and produce and reproduce a sense of Palestinian identity and solidarity with the Palestinian nationalist movement, and an arena through which Palestinian factions compete with each other for support from the Palestinian populace. These efforts function as one of a range of power practices performed by the dominant political factions in the camp, but ordinary people's divergent and critical readings of the landscape's messages can shed light on the workings and failures of these processes. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Dairy and diaspora: postponed reform on the guangming overseas Chinese farm of Shenzhen."
Abstract:"In 1973, four cows and one bull were shipped to Guangming Farm, an agricultural production base for China to supply fresh produce to British Hong Kong. The cattle's human caretakers included Malayan, Indonesian, and Vietnamese Chinese expelled from Southeast Asia due to local ethnonationalist policies. In the late 1970s and early 1980s, Guangming was a state-directed productive space with prominent features of the planned economy, ironically installed when the rest of Shenzhen and China was embarking on market reform. The reform of Guangming Farm lagged the marketization in Shenzhen and did not begin in earnest until the early 2000s. This essay explains how the delay in reform ultimately served the state's interests. The People's Republic of China mobilized Southeast Asian refugee labor to grow international trade and expand state capital. In this process, the diasporic Chinese became, simultaneously, the agents and targets of Deng Xiaoping's reform.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs08066 | 10.1080/14649373.2023.2221499 | Dairy and diaspora: postponed reform on the guangming overseas Chinese farm of Shenzhen | In 1973, four cows and one bull were shipped to Guangming Farm, an agricultural production base for China to supply fresh produce to British Hong Kong. The cattle's human caretakers included Malayan, Indonesian, and Vietnamese Chinese expelled from Southeast Asia due to local ethnonationalist policies. In the late 1970s and early 1980s, Guangming was a state-directed productive space with prominent features of the planned economy, ironically installed when the rest of Shenzhen and China was embarking on market reform. The reform of Guangming Farm lagged the marketization in Shenzhen and did not begin in earnest until the early 2000s. This essay explains how the delay in reform ultimately served the state's interests. The People's Republic of China mobilized Southeast Asian refugee labor to grow international trade and expand state capital. In this process, the diasporic Chinese became, simultaneously, the agents and targets of Deng Xiaoping's reform. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Sexual health knowledge and behaviour of young Sudanese Queenslanders: a cross-sectional study."
Abstract:"Background: Forced migration is associated with sexual vulnerability. However, little is known about the sexual health literacy and needs of refugee-background youth post resettlement. Methods: Conducted in partnership with the Queensland Sudanese community, this study used a cross-sectional survey to explore the sexual health knowledge, attitudes and behaviours of a convenience sample of 16- to 24-year-old Sudanese-background youth in Australia (n = 229). Results: Sexually transmissible infection (STI) and HIV knowledge scores were generally low, although they were found to significantly improve the longer participants had lived in Australia (P < 0.001). Female participants reported significantly higher levels of both STI and HIV knowledge compared with the male cohort (P < 0.001). The aggregated sexual risk behaviour score suggests generally low levels of risk-taking behaviour. However, of the 140 sexually active participants, 3.1% reported a STI diagnosis, 9.0% reported sex leading to a pregnancy and 33.1% reported they had experienced unwanted sex. Participants also reported engaging in behaviours such as anal sex (33%) and sharing injecting drug equipment. Conclusions: Patterns of sexual behaviour among this predominately refugee-background group are not dissimilar to those of other young Australians. Nonetheless, the self-reported patterns of risk behaviour combined with the low and inaccurate levels of sexual health knowledge suggest this group of young people remain sexually vulnerable, particularly early within their resettlement experience. Culturally and contextually informed sexual health interventions are needed early within the resettlement experience.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,6];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [1]. | abs14546 | 10.1071/SH16171 | Sexual health knowledge and behaviour of young Sudanese Queenslanders: a cross-sectional study | Background: Forced migration is associated with sexual vulnerability. However, little is known about the sexual health literacy and needs of refugee-background youth post resettlement. Methods: Conducted in partnership with the Queensland Sudanese community, this study used a cross-sectional survey to explore the sexual health knowledge, attitudes and behaviours of a convenience sample of 16- to 24-year-old Sudanese-background youth in Australia (n = 229). Results: Sexually transmissible infection (STI) and HIV knowledge scores were generally low, although they were found to significantly improve the longer participants had lived in Australia (P < 0.001). Female participants reported significantly higher levels of both STI and HIV knowledge compared with the male cohort (P < 0.001). The aggregated sexual risk behaviour score suggests generally low levels of risk-taking behaviour. However, of the 140 sexually active participants, 3.1% reported a STI diagnosis, 9.0% reported sex leading to a pregnancy and 33.1% reported they had experienced unwanted sex. Participants also reported engaging in behaviours such as anal sex (33%) and sharing injecting drug equipment. Conclusions: Patterns of sexual behaviour among this predominately refugee-background group are not dissimilar to those of other young Australians. Nonetheless, the self-reported patterns of risk behaviour combined with the low and inaccurate levels of sexual health knowledge suggest this group of young people remain sexually vulnerable, particularly early within their resettlement experience. Culturally and contextually informed sexual health interventions are needed early within the resettlement experience. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 new method to estimate mortality in crisis-affected and resource-poor settings: validation study."
Abstract:"Background Data on mortality rates are crucial to guide health interventions in crisis-affected and resource-poor settings. The methods currently available to collect mortality data in such settings feature important methodological limitations. We developed and validated a new method to provide near real-time mortality estimates in such settings. Methods We selected four study sites: Kabul, Afghanistan; Mae La refugee camp, Thailand; Chiradzulu District, Malawi; and Lugufu and Mtabila refugee camps, Tanzania. We recorded information about all deaths in a 60-day period by asking key community informants and decedents' next of kin to refer interviewers to bereaved households. We used the total number of deaths and population estimates to calculate mortality rates for 60- and 30-day periods. For validation we compared these rates with a best estimate of mortality using capture-recapture analysis with two further independent lists of deaths. Results The population covered by the new method was 76 476 persons in Kabul, 43 794 in Mae La camp, 54 418 in Chiradzulu District and 80 136 in the Tanzania camps. The informant method showed moderate sensitivity (55.0% in Kabul, 64.0% in Mae La, 72.5% in Chiradzulu and 67.7% in Tanzania), but performed better than the active surveillance system in the Tanzania refugee camps. Conclusions The informant method currently features moderate sensitivity for accurately assessing mortality, but warrants further development, particularly considering its advantages over current options (ease of implementation and analysis and near-real estimates of mortality rates). Strategies should be tested to improve the performance of the informant method.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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 = [2];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs16203 | 10.1093/ije/dyq188 | A new method to estimate mortality in crisis-affected and resource-poor settings: validation study | Background Data on mortality rates are crucial to guide health interventions in crisis-affected and resource-poor settings. The methods currently available to collect mortality data in such settings feature important methodological limitations. We developed and validated a new method to provide near real-time mortality estimates in such settings. Methods We selected four study sites: Kabul, Afghanistan; Mae La refugee camp, Thailand; Chiradzulu District, Malawi; and Lugufu and Mtabila refugee camps, Tanzania. We recorded information about all deaths in a 60-day period by asking key community informants and decedents' next of kin to refer interviewers to bereaved households. We used the total number of deaths and population estimates to calculate mortality rates for 60- and 30-day periods. For validation we compared these rates with a best estimate of mortality using capture-recapture analysis with two further independent lists of deaths. Results The population covered by the new method was 76 476 persons in Kabul, 43 794 in Mae La camp, 54 418 in Chiradzulu District and 80 136 in the Tanzania camps. The informant method showed moderate sensitivity (55.0% in Kabul, 64.0% in Mae La, 72.5% in Chiradzulu and 67.7% in Tanzania), but performed better than the active surveillance system in the Tanzania refugee camps. Conclusions The informant method currently features moderate sensitivity for accurately assessing mortality, but warrants further development, particularly considering its advantages over current options (ease of implementation and analysis and near-real estimates of mortality rates). Strategies should be tested to improve the performance of the informant method. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Early modern human migration into Sulawesi and Island adaptation in Wallacea."
Abstract:"Maritime migration and island adaptation by anatomically modern humans (AMH) are among the most significant current issues in Southeast Asian archaeology and directly related to their behavioural and technological advancement. In the center of this research hotspot are the Wallacean islands, situated between the Pleistocene landmasses of Sunda and Sahul. Two major migration routes have been suggested for the initial maritime migration from Sunda via Wallacea into Sahul, a northern route into the region of New Guinea and a southern route leading into northern Australia. Here, we report the outcomes of new archaeological research in Central Sulawesi, the most likely entry location for the northern route. Based on our latest findings and new C14 dates from Goa Topogaro 2, we discuss the evidence and timeline for the migration of early modern humans into the Wallacean islands and their adaptation to insular environments during the Late Pleistocene.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [2];
Q3 = [2];
Q4 = [];
Q5 = [];
Q6 = [1]. | abs21751 | 10.1080/00438243.2023.2172074 | Early modern human migration into Sulawesi and Island adaptation in Wallacea | Maritime migration and island adaptation by anatomically modern humans (AMH) are among the most significant current issues in Southeast Asian archaeology and directly related to their behavioural and technological advancement. In the center of this research hotspot are the Wallacean islands, situated between the Pleistocene landmasses of Sunda and Sahul. Two major migration routes have been suggested for the initial maritime migration from Sunda via Wallacea into Sahul, a northern route into the region of New Guinea and a southern route leading into northern Australia. Here, we report the outcomes of new archaeological research in Central Sulawesi, the most likely entry location for the northern route. Based on our latest findings and new C14 dates from Goa Topogaro 2, we discuss the evidence and timeline for the migration of early modern humans into the Wallacean islands and their adaptation to insular environments during the Late Pleistocene. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Understanding collective regularity in human mobility as a familiar stranger phenomenon."
Abstract:"Beyond the physical structures that contain daily routines, urban city dwellers repeatedly encounter strangers that similarly shape their environments. Familiar strangers are neither formal acquaintances nor completely anonymous faces in daily urban life. Due to data limitations, there is a lack of research focused on uncovering the structure of the Familiar Stranger phenomenon at a large scale while simultaneously investigating the social relationships between such strangers. Using countrywide mobile phone records from Andorra, we empirically show the existence of such a phenomenon as well as details concerning these strangers' relative social relations. To understand the social and spatial components of familiar strangers more deeply, we study the temporal regularity and spatial structure of collective urban mobility to shed light on the mechanisms that guide these interactions. Furthermore, we explore the relationship between social distances and the number of encounters to show that more significant physical encounters correspond to a shorter social distance. Understanding these social and physical networks has essential implications for epidemics spreading, urban planning, and information diffusion.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs14429 | 10.1038/s41598-021-98475-x | Understanding collective regularity in human mobility as a familiar stranger phenomenon | Beyond the physical structures that contain daily routines, urban city dwellers repeatedly encounter strangers that similarly shape their environments. Familiar strangers are neither formal acquaintances nor completely anonymous faces in daily urban life. Due to data limitations, there is a lack of research focused on uncovering the structure of the Familiar Stranger phenomenon at a large scale while simultaneously investigating the social relationships between such strangers. Using countrywide mobile phone records from Andorra, we empirically show the existence of such a phenomenon as well as details concerning these strangers' relative social relations. To understand the social and spatial components of familiar strangers more deeply, we study the temporal regularity and spatial structure of collective urban mobility to shed light on the mechanisms that guide these interactions. Furthermore, we explore the relationship between social distances and the number of encounters to show that more significant physical encounters correspond to a shorter social distance. Understanding these social and physical networks has essential implications for epidemics spreading, urban planning, and information diffusion. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Satsurblia: New Insights of Human Response and Survival across the Last Glacial Maximum in the Southern Caucasus."
Abstract:"The region of western Georgia (Imereti) has been a major geographic corridor for human migrations during the Middle and Upper Palaeolithic (MP/UP). Knowledge of the MP and UP in this region, however, stems mostly from a small number of recent excavations at the sites of Ortvale Klde, Dzudzuana, Bondi, and Kotias Klde. These provide an absolute chronology for the Late MP and MP-UP transition, but only a partial perspective on the nature and timing of UP occupations, and limited data on how human groups in this region responded to the harsh climatic oscillations between 37,000-11,500 years before present. Here we report new UP archaeological sequences from fieldwork in Satsurblia cavein the same region. A series of living surfaces with combustion features, faunal remains, stone and bone tools, and ornaments provide new information about human occupations in this region (a) prior to the Last Glacial Maximum (LGM) at 25.5-24.4 ka cal. BP and (b) after the LGM at 17.9-16.2 ka cal. BP. The latter provides new evidence in the southern Caucasus for human occupation immediately after the LGM. The results of the campaigns in Satsurblia and Dzudzuana suggest that at present the most plausible scenario is one of a hiatus in the occupation of this region during the LGM (between 24.4-17.9 ka cal. BP). Analysis of the living surfaces at Satsurblia offers information about human activities such as the production and utilisation of lithics and bone tools, butchering, cooking and consumption of meat and wild cereals, the utilisation of fibers, and the use of certain woods. Microfaunal and palynological analyses point to fluctuations in the climate with consequent shifts in vegetation and the faunal spectrum not only before and after the LGM, but also during the two millennia following the end of the LGM.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [1,2];
Q3 = [];
Q4 = [];
Q5 = [0];
Q6 = [1]. | abs06925 | 10.1371/journal.pone.0111271 | Satsurblia: New Insights of Human Response and Survival across the Last Glacial Maximum in the Southern Caucasus | The region of western Georgia (Imereti) has been a major geographic corridor for human migrations during the Middle and Upper Palaeolithic (MP/UP). Knowledge of the MP and UP in this region, however, stems mostly from a small number of recent excavations at the sites of Ortvale Klde, Dzudzuana, Bondi, and Kotias Klde. These provide an absolute chronology for the Late MP and MP-UP transition, but only a partial perspective on the nature and timing of UP occupations, and limited data on how human groups in this region responded to the harsh climatic oscillations between 37,000-11,500 years before present. Here we report new UP archaeological sequences from fieldwork in Satsurblia cavein the same region. A series of living surfaces with combustion features, faunal remains, stone and bone tools, and ornaments provide new information about human occupations in this region (a) prior to the Last Glacial Maximum (LGM) at 25.5-24.4 ka cal. BP and (b) after the LGM at 17.9-16.2 ka cal. BP. The latter provides new evidence in the southern Caucasus for human occupation immediately after the LGM. The results of the campaigns in Satsurblia and Dzudzuana suggest that at present the most plausible scenario is one of a hiatus in the occupation of this region during the LGM (between 24.4-17.9 ka cal. BP). Analysis of the living surfaces at Satsurblia offers information about human activities such as the production and utilisation of lithics and bone tools, butchering, cooking and consumption of meat and wild cereals, the utilisation of fibers, and the use of certain woods. Microfaunal and palynological analyses point to fluctuations in the climate with consequent shifts in vegetation and the faunal spectrum not only before and after the LGM, but also during the two millennia following the end of the LGM. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Reducing Exclusionary Attitudes through Interpersonal Conversation: Evidence from Three Field Experiments."
Abstract:"Exclusionary attitudes-prejudice toward outgroups and opposition to policies that promote their well-being-are presenting challenges to democratic societies worldwide. Drawing on insights from psychology, we argue that non-judgmentally exchanging narratives in interpersonal conversations can facilitate durable reductions in exclusionary attitudes. We support this argument with evidence from three pre-registered field experiments targeting exclusionary attitudes toward unauthorized immigrants and transgender people. In these experiments, 230 canvassers conversed with 6,869 voters across 7 US locations. In Experiment 1, face-to-face conversations deploying arguments alone had no effects on voters' exclusionary immigration policy or prejudicial attitudes, but otherwise identical conversations also including the non-judgmental exchange of narratives durably reduced exclusionary attitudes for at least four months (d = 0.08). Experiments 2 and 3, targeting transphobia, replicate these findings and support the scalability of this strategy (ds = 0.08, 0.04). Non-judgmentally exchanging narratives can help overcome the resistance to persuasion often encountered in discussions of these contentious topics.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs11731 | 10.1017/S0003055419000923 | Reducing Exclusionary Attitudes through Interpersonal Conversation: Evidence from Three Field Experiments | Exclusionary attitudes-prejudice toward outgroups and opposition to policies that promote their well-being-are presenting challenges to democratic societies worldwide. Drawing on insights from psychology, we argue that non-judgmentally exchanging narratives in interpersonal conversations can facilitate durable reductions in exclusionary attitudes. We support this argument with evidence from three pre-registered field experiments targeting exclusionary attitudes toward unauthorized immigrants and transgender people. In these experiments, 230 canvassers conversed with 6,869 voters across 7 US locations. In Experiment 1, face-to-face conversations deploying arguments alone had no effects on voters' exclusionary immigration policy or prejudicial attitudes, but otherwise identical conversations also including the non-judgmental exchange of narratives durably reduced exclusionary attitudes for at least four months (d = 0.08). Experiments 2 and 3, targeting transphobia, replicate these findings and support the scalability of this strategy (ds = 0.08, 0.04). Non-judgmentally exchanging narratives can help overcome the resistance to persuasion often encountered in discussions of these contentious topics. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Green Cities."
Abstract:"Urban green spaces are the areas which were established with recreational, aesthetic and ecological goal. Green areas in the city, along with architectural structures, are the locations which determine the general character and the image of cities and provide many benefits for the city and the people living in the city. Population rapidly increases with migration and industrialization and this rapid population growth comes with several problems. Today, the squares, streets and neighborhoods are the elements of urban spaces, but they have begun to lose their identity due to heavy population growth, lack of planning and unsystematic administrations. It is obvious that the living conditions in urban areas cannot accommodate to the environmental quality required by the people (natural beauty, clean air, uncontaminated soil, comfort and quietness, diversity, freedom, etc.). Population density, air pollution, noise and tiredness lead to a psycho -physiological imbalance in humans. In this study, properties and classification of urban green areas, design principles used in the formation of green cities and the importance of green areas for the cities and the variety of their use were emphasized.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs03704 | gen.2013.48643792 | Green Cities | Urban green spaces are the areas which were established with recreational, aesthetic and ecological goal. Green areas in the city, along with architectural structures, are the locations which determine the general character and the image of cities and provide many benefits for the city and the people living in the city. Population rapidly increases with migration and industrialization and this rapid population growth comes with several problems. Today, the squares, streets and neighborhoods are the elements of urban spaces, but they have begun to lose their identity due to heavy population growth, lack of planning and unsystematic administrations. It is obvious that the living conditions in urban areas cannot accommodate to the environmental quality required by the people (natural beauty, clean air, uncontaminated soil, comfort and quietness, diversity, freedom, etc.). Population density, air pollution, noise and tiredness lead to a psycho -physiological imbalance in humans. In this study, properties and classification of urban green areas, design principles used in the formation of green cities and the importance of green areas for the cities and the variety of their use were emphasized. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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:"Social networks, mobility, and HIV risk among women in the fishing communities of Lake Victoria."
Abstract:"Background: Population mobility is a demonstrated barrier to reducing HIV incidence. A clear understanding of social networks and their influence on mobility among women in the fishing communities of Lake Victoria may contribute to tailoring effective interventions that suit the needs of these mobile women. Methods: A cross-sectional qualitative methods study was conducted to understand mobility patterns among women resident and or working in fishing communities of Lake Victoria in Kenya, Tanzania, and Uganda. The study was conducted in six fishing communities from March 2018 to June 2019. The communities were purposively selected, based on population size (1000 people or more) and HIV prevalence of > 15% among women aged 18 years or older who had lived in the fishing community for at least six months. In-depth interviews were conducted with 24 key informants and 72 women from the sites in the three countries. Questions focused on women's social networks and other factors that fuelled or facilitated women's mobility as well as challenges they faced due to mobility. Data analysis followed a thematic framework approach. Results: Different social groupings/networks existed among women in the fishing communities of Lake Victoria. These included female sex workers, women fish processors/traders, women bar workers/owners, restaurant workers, and family networks. Networks encouraged mobility, supporting finding work opportunities, but also increased sexual risks through partner changes. The benefits of networks included information sharing, financial support, and group protection, especially against violence. Conclusion: Social networks and groupings among women in the fishing communities of Lake Victoria could be useful in tailoring HIV prevention and HIV care interventions to suit the needs of these highly mobile populations.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [6,7];
Q3 = [2];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs00308 | 10.1186/s12905-022-02144-8 | Social networks, mobility, and HIV risk among women in the fishing communities of Lake Victoria | Background: Population mobility is a demonstrated barrier to reducing HIV incidence. A clear understanding of social networks and their influence on mobility among women in the fishing communities of Lake Victoria may contribute to tailoring effective interventions that suit the needs of these mobile women. Methods: A cross-sectional qualitative methods study was conducted to understand mobility patterns among women resident and or working in fishing communities of Lake Victoria in Kenya, Tanzania, and Uganda. The study was conducted in six fishing communities from March 2018 to June 2019. The communities were purposively selected, based on population size (1000 people or more) and HIV prevalence of > 15% among women aged 18 years or older who had lived in the fishing community for at least six months. In-depth interviews were conducted with 24 key informants and 72 women from the sites in the three countries. Questions focused on women's social networks and other factors that fuelled or facilitated women's mobility as well as challenges they faced due to mobility. Data analysis followed a thematic framework approach. Results: Different social groupings/networks existed among women in the fishing communities of Lake Victoria. These included female sex workers, women fish processors/traders, women bar workers/owners, restaurant workers, and family networks. Networks encouraged mobility, supporting finding work opportunities, but also increased sexual risks through partner changes. The benefits of networks included information sharing, financial support, and group protection, especially against violence. Conclusion: Social networks and groupings among women in the fishing communities of Lake Victoria could be useful in tailoring HIV prevention and HIV care interventions to suit the needs of these highly mobile populations. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"The Politics of International Regime Complexity."
Abstract:"The increasing density of international regimes has contributed to the proliferation of overlap across agreements, conflicts among international obligations, and confusion regarding what international and bilateral obligations cover an issue. This symposium examines the consequences of this international regime complexity for subsequent politics. What analytical insights can be gained by thinking about any single agreement as being embedded in a larger web of international rules and regimes? Karen Alter and Sophie Meunier's introductory essay defines international regime complexity and identifies the mechanisms through which it may influence the politics of international cooperation. Short contributions analyze how international regime complexity affects politics in specific issue areas: trade (Christina Davis), linkages between human rights and trade (Emilie Hafner-Burton), intellectual property (Laurence Helfer), security politics (Stephanie Hofmann), refugee politics (Alexander Betts), and election monitoring (Judith Kelley). Daniel Drezner concludes by arguing that international regime complexity may well benefit the powerful more than others.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [5];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs16440 | 10.1017/S1537592709090033 | The Politics of International Regime Complexity | The increasing density of international regimes has contributed to the proliferation of overlap across agreements, conflicts among international obligations, and confusion regarding what international and bilateral obligations cover an issue. This symposium examines the consequences of this international regime complexity for subsequent politics. What analytical insights can be gained by thinking about any single agreement as being embedded in a larger web of international rules and regimes? Karen Alter and Sophie Meunier's introductory essay defines international regime complexity and identifies the mechanisms through which it may influence the politics of international cooperation. Short contributions analyze how international regime complexity affects politics in specific issue areas: trade (Christina Davis), linkages between human rights and trade (Emilie Hafner-Burton), intellectual property (Laurence Helfer), security politics (Stephanie Hofmann), refugee politics (Alexander Betts), and election monitoring (Judith Kelley). Daniel Drezner concludes by arguing that international regime complexity may well benefit the powerful more than others. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 mobilities: migration, im/mobilities and mobility regimes in a changing climate."
Abstract:"The discussion on the relation between human mobility and climate change has moved beyond linear and exceptional terms. Building on these debates, this article, and the Special Issue on Climate Mobilities: Migration, im/mobilities and mobilities regimes in a changing climate that it introduces, conceptualises this relation in terms of climate mobilities. Through the concept of climate mobilities, we highlight the multiplicity of mobility in the context of a changing climate, including the interrelations between human mobilities and immobilities and their interplay with other mobile flows, such as the mobilities of ideas, information, or climate risk. We furthermore delve into the politics of climate mobilities, defining climate mobility regimes, and implications for mobility justice among those whose mobility is impacted by these regimes. We argue for research to pay more attention to acts of resistance against dominant climate mobility regimes, including voluntary immobilities and re-emplacements that challenge mass migration frames or imposed relocation policies. The articles in this issue empirically examine these dimensions, reflecting on the plurality of climate mobilities and its politics, each analysing how these evolve in a situated cultural or political context.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [1,2];
Q3 = [];
Q4 = [];
Q5 = [1];
Q6 = [0]. | abs13666 | 10.1080/1369183X.2022.2066264 | Climate mobilities: migration, im/mobilities and mobility regimes in a changing climate | The discussion on the relation between human mobility and climate change has moved beyond linear and exceptional terms. Building on these debates, this article, and the Special Issue on Climate Mobilities: Migration, im/mobilities and mobilities regimes in a changing climate that it introduces, conceptualises this relation in terms of climate mobilities. Through the concept of climate mobilities, we highlight the multiplicity of mobility in the context of a changing climate, including the interrelations between human mobilities and immobilities and their interplay with other mobile flows, such as the mobilities of ideas, information, or climate risk. We furthermore delve into the politics of climate mobilities, defining climate mobility regimes, and implications for mobility justice among those whose mobility is impacted by these regimes. We argue for research to pay more attention to acts of resistance against dominant climate mobility regimes, including voluntary immobilities and re-emplacements that challenge mass migration frames or imposed relocation policies. The articles in this issue empirically examine these dimensions, reflecting on the plurality of climate mobilities and its politics, each analysing how these evolve in a situated cultural or political context. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Land Cover Changes Induced by Demining Operations in Halgurd-Sakran National Park in the Kurdistan Region of Iraq."
Abstract:"This study presents an analysis of Landsat data to quantify how the deployment of landmines and demining operations in the first national park in Iraq, the Halgurd-Sakran Core Zone (HSCZ) in the Kurdistan region, has altered the vegetation/land cover patterns over 17 years (between 1998 and 2015). Post-war impacts of landmines on land cover fragmentation and degradation in HSCZ are examined using GIS and remote sensing. Landmines fundamentally change the available land use options for local communities by limiting access to the land. Their widespread use in military conflicts around the world made investigating the impacts of minefields on land cover fragmentation the subject of scientific studies. The Iraqi-Iranian war (1980-1988) and subsequent conflicts have left behind densely mined areas in Kurdistan, especially in the border zones, which were previous battle zones. These leftover weapons of historic wars are indiscriminate and still affecting people. The results revealed that the relationship between land use/land cover (LULC) classes before and after the Fall of Baghdad is different for all classes, especially for pasture and cultivated lands. Between 1998 and 2015 the proportion of land covered by forest or under agricultural cultivation decreased substantially, matched by a large increase in pasture extent. The results also show that after 2003 increased attention has been paid to raising landmine awareness in the areas most affected by mines. Additionally, the landmines slowed down the progression in HSCZ, otherwise, agricultural production and productivity could potentially have doubled. The change in cultivated land area in the park does not relate to population growth but to the presence of minefields, minefield programme awareness, and socio-economic factors. Strong rural pull factors succeeded in bringing displaced people back to villages as a result of social progress, economic growth, and political stability in HSCZ.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs20190 | 10.3390/su10072422 | Land Cover Changes Induced by Demining Operations in Halgurd-Sakran National Park in the Kurdistan Region of Iraq | This study presents an analysis of Landsat data to quantify how the deployment of landmines and demining operations in the first national park in Iraq, the Halgurd-Sakran Core Zone (HSCZ) in the Kurdistan region, has altered the vegetation/land cover patterns over 17 years (between 1998 and 2015). Post-war impacts of landmines on land cover fragmentation and degradation in HSCZ are examined using GIS and remote sensing. Landmines fundamentally change the available land use options for local communities by limiting access to the land. Their widespread use in military conflicts around the world made investigating the impacts of minefields on land cover fragmentation the subject of scientific studies. The Iraqi-Iranian war (1980-1988) and subsequent conflicts have left behind densely mined areas in Kurdistan, especially in the border zones, which were previous battle zones. These leftover weapons of historic wars are indiscriminate and still affecting people. The results revealed that the relationship between land use/land cover (LULC) classes before and after the Fall of Baghdad is different for all classes, especially for pasture and cultivated lands. Between 1998 and 2015 the proportion of land covered by forest or under agricultural cultivation decreased substantially, matched by a large increase in pasture extent. The results also show that after 2003 increased attention has been paid to raising landmine awareness in the areas most affected by mines. Additionally, the landmines slowed down the progression in HSCZ, otherwise, agricultural production and productivity could potentially have doubled. The change in cultivated land area in the park does not relate to population growth but to the presence of minefields, minefield programme awareness, and socio-economic factors. Strong rural pull factors succeeded in bringing displaced people back to villages as a result of social progress, economic growth, and political stability in HSCZ. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"PALESTINIAN CITIZENS OF ISRAEL AND THE DISCOURSE ON THE RIGHT OF RETURN, 1948-59."
Abstract:"This article traces the evolving discourse on the right of refugee return among the Palestinian citizens of Israel during the first decade of Israeli statehood, with emphasis on the role of the local Arabic press in shaping and reflecting that discourse. More particularly, it focuses on al-Ittihad, the organ of the communist party (MAKI), which paid the greatest attention to the refugee issue. In tracing the party's shift from a humanistic/anti-imperialist stance on the issue to one emphasizing the refugees' inalienable right to return, the article sheds light on MAKI's political strategy vis-a-vis the Palestinian minority. It also illustrates the political vibrancy in the early years of the community, generally viewed simplistically in terms of a pre-1967 quiescence and post-1967 politicization.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs16066 | 10.1525/jps.2011.XL.4.45 | PALESTINIAN CITIZENS OF ISRAEL AND THE DISCOURSE ON THE RIGHT OF RETURN, 1948-59 | This article traces the evolving discourse on the right of refugee return among the Palestinian citizens of Israel during the first decade of Israeli statehood, with emphasis on the role of the local Arabic press in shaping and reflecting that discourse. More particularly, it focuses on al-Ittihad, the organ of the communist party (MAKI), which paid the greatest attention to the refugee issue. In tracing the party's shift from a humanistic/anti-imperialist stance on the issue to one emphasizing the refugees' inalienable right to return, the article sheds light on MAKI's political strategy vis-a-vis the Palestinian minority. It also illustrates the political vibrancy in the early years of the community, generally viewed simplistically in terms of a pre-1967 quiescence and post-1967 politicization. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Impact of different control policies for COVID-19 outbreak on the air transportation industry: A comparison between China, the US and Singapore."
Abstract:"Many countries have been implementing various control measures with different strictness levels to prevent the coronavirus disease 2019 (COVID-19) from spreading. With the great reduction in human mobility and daily activities, considerable impacts have been imposed on the global air transportation industry. This study applies a hybrid SARIMA-based intervention model to measure the differences in the impacts of different control measures implemented in China, the U.S. and Singapore on air passenger and air freight traffic. To explore the effect of time span for the measures to be in force, two scenarios are invented, namely a long-term intervention and a short-term intervention, and predictions are made till the end of 2020 for all three countries under both scenarios. As a result, predictive patterns of the selected metrics for the three countries are rather different. China is predicted to have the mildest economic impact on the air transportation industry in this year in terms of air passenger revenue and air cargo traffic, provided that the control measures were prompt and effective. The U.S. would suffer from a far-reaching impact on the industry if the same control measures are maintained. More uncertainties are found for Singapore, as it is strongly associated with international travel demands. Suggestions are made for the three countries and the rest of the world on how to seek a balance between the strictness of control measures and the potential long-term industrial losses.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs16994 | 10.1371/journal.pone.0248361 | Impact of different control policies for COVID-19 outbreak on the air transportation industry: A comparison between China, the US and Singapore | Many countries have been implementing various control measures with different strictness levels to prevent the coronavirus disease 2019 (COVID-19) from spreading. With the great reduction in human mobility and daily activities, considerable impacts have been imposed on the global air transportation industry. This study applies a hybrid SARIMA-based intervention model to measure the differences in the impacts of different control measures implemented in China, the U.S. and Singapore on air passenger and air freight traffic. To explore the effect of time span for the measures to be in force, two scenarios are invented, namely a long-term intervention and a short-term intervention, and predictions are made till the end of 2020 for all three countries under both scenarios. As a result, predictive patterns of the selected metrics for the three countries are rather different. China is predicted to have the mildest economic impact on the air transportation industry in this year in terms of air passenger revenue and air cargo traffic, provided that the control measures were prompt and effective. The U.S. would suffer from a far-reaching impact on the industry if the same control measures are maintained. More uncertainties are found for Singapore, as it is strongly associated with international travel demands. Suggestions are made for the three countries and the rest of the world on how to seek a balance between the strictness of control measures and the potential long-term industrial losses. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Screening for type 2 diabetes: do screen-detected cases fare better?."
Abstract:"Aims/hypothesis We aimed to investigate whether diabetes cases detected through screening have better health outcomes than clinically detected cases in a population-based cohort of adults who were eligible to be screened for diabetes at 10 year intervals. Methods The Vasterbotten Intervention Programme is a community-and individual-based public health programme in Vasterbotten County, Sweden. Residents are invited to clinical examinations that include screening for diabetes by OGTTs at age 30, 40, 50 and 60 years (individuals eligible for screening, n = 142,037). Between 1992 and 2013, we identified 1024 screen-detected cases and 8642 clinically detected cases of diabetes using registry data. Clinically detected individuals were either prior screening participants (n = 4506) or people who did not participate in screening (non-participants, n = 4136). Study individuals with diabetes were followed from date of detection until end of follow-up, emigration, death or incident cardiovascular disease (CVD), renal disease or retinopathy event, and compared using Cox proportional hazard regression adjusted for calendar time, age at detection, year of detection, sex and socioeconomic status. Results The average age at diabetes diagnosis was 4.6 years lower for screen-detected individuals compared with clinically detected individuals. Overall, those who were clinically detected had worse health outcomes than those who were screen-detected (HR for all-cause mortality 2.07 [95% CI 1.63, 2.62]). Compared with screen-detected study individuals, all-cause mortality was higher for clinically detected individuals who were screening non-participants (HR 2.31 [95% CI 1.82, 2.94]) than for those clinically detected who were prior screening participants (HR 1.70 [95% CI 1.32, 2.18]). Estimates followed a similar pattern for CVD, renal disease and retinopathy. Conclusions/interpretation Individuals with screen-detected diabetes were diagnosed earlier and appeared to fare better than those who were clinically detected with regard to all-cause mortality, CVD, renal disease and retinopathy. How much of these associations can be explained by earlier treatment because of screening rather than healthy user bias, lead time bias and length time biaswarrants further investigation.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [0];
Q6 = [1]. | abs02511 | 10.1007/s00125-017-4402-4 | Screening for type 2 diabetes: do screen-detected cases fare better? | Aims/hypothesis We aimed to investigate whether diabetes cases detected through screening have better health outcomes than clinically detected cases in a population-based cohort of adults who were eligible to be screened for diabetes at 10 year intervals. Methods The Vasterbotten Intervention Programme is a community-and individual-based public health programme in Vasterbotten County, Sweden. Residents are invited to clinical examinations that include screening for diabetes by OGTTs at age 30, 40, 50 and 60 years (individuals eligible for screening, n = 142,037). Between 1992 and 2013, we identified 1024 screen-detected cases and 8642 clinically detected cases of diabetes using registry data. Clinically detected individuals were either prior screening participants (n = 4506) or people who did not participate in screening (non-participants, n = 4136). Study individuals with diabetes were followed from date of detection until end of follow-up, emigration, death or incident cardiovascular disease (CVD), renal disease or retinopathy event, and compared using Cox proportional hazard regression adjusted for calendar time, age at detection, year of detection, sex and socioeconomic status. Results The average age at diabetes diagnosis was 4.6 years lower for screen-detected individuals compared with clinically detected individuals. Overall, those who were clinically detected had worse health outcomes than those who were screen-detected (HR for all-cause mortality 2.07 [95% CI 1.63, 2.62]). Compared with screen-detected study individuals, all-cause mortality was higher for clinically detected individuals who were screening non-participants (HR 2.31 [95% CI 1.82, 2.94]) than for those clinically detected who were prior screening participants (HR 1.70 [95% CI 1.32, 2.18]). Estimates followed a similar pattern for CVD, renal disease and retinopathy. Conclusions/interpretation Individuals with screen-detected diabetes were diagnosed earlier and appeared to fare better than those who were clinically detected with regard to all-cause mortality, CVD, renal disease and retinopathy. How much of these associations can be explained by earlier treatment because of screening rather than healthy user bias, lead time bias and length time biaswarrants further investigation. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"From subsistence to resistance: Asylum-seekers and the other Occupy' in Hong Kong."
Abstract:"In 2014, the Refugee Union - the only asylum-seeker-led organisation in Hong Kong - organised an eight-month-long protest against assistance policies and practices which they argued dehumanised and jeopardised their dignity and survival. Central to this public protest, termed Refugee Occupy', was the transformation of a traditional mechanism for asylum-seeker containment - the refugee camp - into a vehicle for asylum-seeker voice, participation and resistance. In this article, we discuss the asylum-seeker assistance policies and practices over the last decade that have resulted in a borderless refugee camp in Hong Kong. We explore the asylum-seekers' use of the camp concept and its spatial and political transformation into an instrument for asylum-seeker resistance and political engagement. We conclude by situating the Refugee Union's formation alongside other migrant-led social movements in Hong Kong and globally.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [5,6];
Q3 = [2];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs07099 | 10.1177/0261018317699162 | From subsistence to resistance: Asylum-seekers and the other Occupy' in Hong Kong | In 2014, the Refugee Union - the only asylum-seeker-led organisation in Hong Kong - organised an eight-month-long protest against assistance policies and practices which they argued dehumanised and jeopardised their dignity and survival. Central to this public protest, termed Refugee Occupy', was the transformation of a traditional mechanism for asylum-seeker containment - the refugee camp - into a vehicle for asylum-seeker voice, participation and resistance. In this article, we discuss the asylum-seeker assistance policies and practices over the last decade that have resulted in a borderless refugee camp in Hong Kong. We explore the asylum-seekers' use of the camp concept and its spatial and political transformation into an instrument for asylum-seeker resistance and political engagement. We conclude by situating the Refugee Union's formation alongside other migrant-led social movements in Hong Kong and globally. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Are Roma People Descended from the Punjab Region of Pakistan: A Y-Chromosomal Perspective."
Abstract:"Gypsies are a separate ethnic group living in Pakistan and some other countries as well. They are mostly known as 'Roma' and 'untouchables'. They have different types of lifestyles as compared to other common people, as they always keep migrating from one place to another. They do not have proper houses; they live in tent houses and most probably work on daily wages to earn their living. Gypsies cannot be specified according to the place of residence and can only be classified according to their migration route. Previous historical and linguistic research showed the north Indian origin of Roma people. The present study collected 285 unrelated Roma individuals living in Punjab and typed with the Goldeneye Y20 system. Allelic frequencies ranged between 0.0035 and 0.5266, with haplotype diversity (HD) of 0.9999 and discrimination capacity (DC) of 0.8790. Gene diversity (GD) ranged from 0.6489 (DYS391) to 0.9764 (DYS391) (DY385ab). A total of 223 unique alleles were observed. Interestingly, the haplogroup R accounted for 40.56% and J for 22.06%. In MDS analysis, Pakistani Roma formed a close cluster with Roma from Constanta, Romania. The migration pattern of the Roma population from Pakistan, India and Europe was inferred using coalescence theory in the Migrate-n program. Overlapping Y-STR data were used to test different migration models. These migration models showed us the dominant gene flow from Pakistan to India and Europe to Pakistan. The results of our study showed that Y STRs provided substantially stronger discriminatory power in the Pakistani Roma population.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [0];
Q3 = [];
Q4 = [0];
Q5 = [0];
Q6 = [1]. | abs00650 | 10.3390/genes13030532 | Are Roma People Descended from the Punjab Region of Pakistan: A Y-Chromosomal Perspective | Gypsies are a separate ethnic group living in Pakistan and some other countries as well. They are mostly known as 'Roma' and 'untouchables'. They have different types of lifestyles as compared to other common people, as they always keep migrating from one place to another. They do not have proper houses; they live in tent houses and most probably work on daily wages to earn their living. Gypsies cannot be specified according to the place of residence and can only be classified according to their migration route. Previous historical and linguistic research showed the north Indian origin of Roma people. The present study collected 285 unrelated Roma individuals living in Punjab and typed with the Goldeneye Y20 system. Allelic frequencies ranged between 0.0035 and 0.5266, with haplotype diversity (HD) of 0.9999 and discrimination capacity (DC) of 0.8790. Gene diversity (GD) ranged from 0.6489 (DYS391) to 0.9764 (DYS391) (DY385ab). A total of 223 unique alleles were observed. Interestingly, the haplogroup R accounted for 40.56% and J for 22.06%. In MDS analysis, Pakistani Roma formed a close cluster with Roma from Constanta, Romania. The migration pattern of the Roma population from Pakistan, India and Europe was inferred using coalescence theory in the Migrate-n program. Overlapping Y-STR data were used to test different migration models. These migration models showed us the dominant gene flow from Pakistan to India and Europe to Pakistan. The results of our study showed that Y STRs provided substantially stronger discriminatory power in the Pakistani Roma 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:"In Solidarity: Ma(r)king and rescaling solidarity boundaries towards migrants."
Abstract:"The core idea for this Special Issue is to reflect upon the dynamics of participation both by individuals and by groups acting in solidarity with migrants in different contexts at the individual, local and transnational levels. Using the concept of solidarities to address the relation between persons who have experienced migration and persons who have not, and between people and institutions, enables research to escape the us vs. them dichotomy, extending the debate on deservingness to society as a whole. Moreover, with the development of crossborder volunteering and the diffusion of multi-scalar partnerships between subnational governments and civil society organisations, solidarities are rescaled, and encompass new forms beyond national welfare mechanisms. Bringing together a rich collection of empirical cases that ranges from the reception of the Rohingya refugees in the CoxBazar region of Bangladesh to border crossings along the Balkan route, from disaster solidarity in the Hanshin area in Japan to Ukrainian refugee reception in Italy, we explore acts of solidarity in different contexts as a way to try an make sense of when solidarity towards migrants is a political act, when it is about providing basic provisions subcontracted by the state to local or non-governmental actors, and when it is an act of defiance against the state.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [5];
Q3 = [2];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs08569 | 10.1285/i20356609vi3p402 | In Solidarity: Ma(r)king and rescaling solidarity boundaries towards migrants | The core idea for this Special Issue is to reflect upon the dynamics of participation both by individuals and by groups acting in solidarity with migrants in different contexts at the individual, local and transnational levels. Using the concept of solidarities to address the relation between persons who have experienced migration and persons who have not, and between people and institutions, enables research to escape the us vs. them dichotomy, extending the debate on deservingness to society as a whole. Moreover, with the development of crossborder volunteering and the diffusion of multi-scalar partnerships between subnational governments and civil society organisations, solidarities are rescaled, and encompass new forms beyond national welfare mechanisms. Bringing together a rich collection of empirical cases that ranges from the reception of the Rohingya refugees in the CoxBazar region of Bangladesh to border crossings along the Balkan route, from disaster solidarity in the Hanshin area in Japan to Ukrainian refugee reception in Italy, we explore acts of solidarity in different contexts as a way to try an make sense of when solidarity towards migrants is a political act, when it is about providing basic provisions subcontracted by the state to local or non-governmental actors, and when it is an act of defiance against the state. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Villa Voortman: carte blanche or not?."
Abstract:"Purpose - Influenced by evolutions in mental health, a meeting house, Villa Voortman, was recently developed. It is based on an integration of therapeutic community (TC) and psychoanalytical Lacanian thinking. The purpose of this paper is to investigate the position of Villa Voortman in the treatment continuum for dually diagnosed clients. Two research questions are addressed: how does Villa Voortman operate ? and how do clients perceive the Villa? Design/methodology/approach - The first question was tackled by a personal account of the founders of Villa Voortman. The second question was addressed by a qualitative study using video-material of 19 visitors' personal accounts. Findings - The visitors mentioned three themes: social inclusion, personal development and equality. These aspects are further refined into sub-themes including the provision of asylum; the instalment of a warm and welcoming atmosphere; the focus on real human encounter; a permissive, supportive and waiting environment; a minimal but good enough structure; the necessity of a place where persons can develop themselves; the striving for social inclusion and future perspectives; and the support in becoming inclusive citizens again. Originality/value - The value of the paper lies in disclosing the visitors' lived experience. This is an essential part of shedding light on the active ingredients of support, In reference to the title, visitors nor treatment staff have carte blanche with regard to how support develops, as this is driven by the dialectal course of everything that occurs during the support 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:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [0]. | abs15330 | 10.1108/TC-12-2013-0035 | Villa Voortman: carte blanche or not? | Purpose - Influenced by evolutions in mental health, a meeting house, Villa Voortman, was recently developed. It is based on an integration of therapeutic community (TC) and psychoanalytical Lacanian thinking. The purpose of this paper is to investigate the position of Villa Voortman in the treatment continuum for dually diagnosed clients. Two research questions are addressed: how does Villa Voortman operate ? and how do clients perceive the Villa? Design/methodology/approach - The first question was tackled by a personal account of the founders of Villa Voortman. The second question was addressed by a qualitative study using video-material of 19 visitors' personal accounts. Findings - The visitors mentioned three themes: social inclusion, personal development and equality. These aspects are further refined into sub-themes including the provision of asylum; the instalment of a warm and welcoming atmosphere; the focus on real human encounter; a permissive, supportive and waiting environment; a minimal but good enough structure; the necessity of a place where persons can develop themselves; the striving for social inclusion and future perspectives; and the support in becoming inclusive citizens again. Originality/value - The value of the paper lies in disclosing the visitors' lived experience. This is an essential part of shedding light on the active ingredients of support, In reference to the title, visitors nor treatment staff have carte blanche with regard to how support develops, as this is driven by the dialectal course of everything that occurs during the support 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:"A Double Bind: Malta and the Rescue of Unwanted Migrants at Sea, a Legal Anthropological Perspective on the Humanitarian Law of the Sea."
Abstract:"This paper discusses research results from anthropological fieldwork carried out in Malta in 2007. The island, which is situated in the central Mediterranean Sea between Tunisia, Libya and Italy, is a focal point regarding the continuing refugee situation. One of the research aims was to investigate the situation at sea concerning Search and Rescue (SAR) operations for migrants and refugees crossing the Mediterranean by boat. In the year 2006, 556 missing and drowned migrants were registered in the central Mediterranean between Libya, Malta and Italy, this number increased to 642 in 2008. The goal of the research in Malta was therefore to understand why an increasing number of migrants were dying at sea and what role the European security forces play in this context. After introducing the research perspective of this article, background information concerning migration movements in the Mediterranean Sea between Libya, Italy and Malta in recent years is provided. Due to European regulations, which are considered unfavourable for the island, and its population density, Malta feels under pressure from migrants arriving by boat across the Mediterranean. Different concepts regarding a 'place of safety' to disembark rescued boat migrants are debated. The ambiguities in the responsibilities cause problems for the captains who rescue migrants in distress at sea. These ambiguities may in turn lead to a weakening of the SAR regime. Following discussion of the legal and political quarrels on the place of safety, the SAR operations at sea of the Armed Forces of Malta is analysed. The findings show that it is not merely a case of enforcing legal norms created by international law. The process is much more complex: legal gaps are filled by regional actors, through informal or even illegal practices, asserting their own claims at their convenience. Thus, transnationalization processes of law, such as the international SAR regime, are a fragmented and ambiguous set of regulations, creating space for negotiation and manoeuvre.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5,6];
Q3 = [1];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs16021 | 10.1093/ijrl/eer017 | A Double Bind: Malta and the Rescue of Unwanted Migrants at Sea, a Legal Anthropological Perspective on the Humanitarian Law of the Sea | This paper discusses research results from anthropological fieldwork carried out in Malta in 2007. The island, which is situated in the central Mediterranean Sea between Tunisia, Libya and Italy, is a focal point regarding the continuing refugee situation. One of the research aims was to investigate the situation at sea concerning Search and Rescue (SAR) operations for migrants and refugees crossing the Mediterranean by boat. In the year 2006, 556 missing and drowned migrants were registered in the central Mediterranean between Libya, Malta and Italy, this number increased to 642 in 2008. The goal of the research in Malta was therefore to understand why an increasing number of migrants were dying at sea and what role the European security forces play in this context. After introducing the research perspective of this article, background information concerning migration movements in the Mediterranean Sea between Libya, Italy and Malta in recent years is provided. Due to European regulations, which are considered unfavourable for the island, and its population density, Malta feels under pressure from migrants arriving by boat across the Mediterranean. Different concepts regarding a 'place of safety' to disembark rescued boat migrants are debated. The ambiguities in the responsibilities cause problems for the captains who rescue migrants in distress at sea. These ambiguities may in turn lead to a weakening of the SAR regime. Following discussion of the legal and political quarrels on the place of safety, the SAR operations at sea of the Armed Forces of Malta is analysed. The findings show that it is not merely a case of enforcing legal norms created by international law. The process is much more complex: legal gaps are filled by regional actors, through informal or even illegal practices, asserting their own claims at their convenience. Thus, transnationalization processes of law, such as the international SAR regime, are a fragmented and ambiguous set of regulations, creating space for negotiation and manoeuvre. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Equity in Health Care: A Qualitative Study with Refugees, Health Care Professionals, and Administrators in One Region in Germany."
Abstract:"Introduction. Equity in health is an essential issue and it would appear that it is not guaranteed for all human beings, especially refugee groups. The aim of this qualitative descriptive study was to explore the experiences of refugees, health care professionals, and administrators of refugee health care in a host country. Methods. The study used qualitative methods which consisted of a convenience sample of stakeholders directly and indirectly involved in care for refugees and refugees themselves. The study participants were located in a rural area in the federal state of Schleswig-Holstein, Germany. Focus groups and interviews were conducted with 25 participants. A semistructured interview guideline was used for the focus groups and interviews. The data were evaluated using qualitative content analysis. Results. Four main categories were identified which are important for equity in health care: legal aspects, sociocultural aspects, environmental aspects, and communication aspects. Legal frameworks and language barriers were perceived as strong barriers for accessing health care. Conclusions. The findings suggest that the host countries should address the specific needs of this population group at a systemic and individual level. Based on the views of the participants interviewed it can be concluded that the refugee population group is particularly affected by limited access to health care services. Bureaucratic barriers, unfamiliarity with a new health system, and language issues all contribute to limiting access to health care services.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [6];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs11870 | 10.1155/2020/4647389 | Equity in Health Care: A Qualitative Study with Refugees, Health Care Professionals, and Administrators in One Region in Germany | Introduction. Equity in health is an essential issue and it would appear that it is not guaranteed for all human beings, especially refugee groups. The aim of this qualitative descriptive study was to explore the experiences of refugees, health care professionals, and administrators of refugee health care in a host country. Methods. The study used qualitative methods which consisted of a convenience sample of stakeholders directly and indirectly involved in care for refugees and refugees themselves. The study participants were located in a rural area in the federal state of Schleswig-Holstein, Germany. Focus groups and interviews were conducted with 25 participants. A semistructured interview guideline was used for the focus groups and interviews. The data were evaluated using qualitative content analysis. Results. Four main categories were identified which are important for equity in health care: legal aspects, sociocultural aspects, environmental aspects, and communication aspects. Legal frameworks and language barriers were perceived as strong barriers for accessing health care. Conclusions. The findings suggest that the host countries should address the specific needs of this population group at a systemic and individual level. Based on the views of the participants interviewed it can be concluded that the refugee population group is particularly affected by limited access to health care services. Bureaucratic barriers, unfamiliarity with a new health system, and language issues all contribute to limiting access to health care 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:"Insurance schemes for loss and damage: fools' gold?."
Abstract:"Insurance schemes are a widely supported form of finance mechanism to address climate change-induced loss and damage, and are part of the Warsaw International Mechanism for Loss and Damage. This paper reviews active insurance schemes for loss and damage by exploring existing critiques. Novel insights into the fundamental challenges that insurance schemes face are then examined, in particular in the context of common but differentiated responsibilities and respective capabilities, intergenerational equity, economic and gender inequality, and human mobility. The analysis concludes that, despite their popularity among policy makers, insurance schemes seem ill-suited to address the full range of loss and damage. Therefore, pursuing these schemes, without backstopping from international finance, might undermine the objective of responding to loss and damage in a comprehensive manner. Consequently, it may be advisable for policy makers to consider how to overcome the apparent challenges in order to 'insure the uninsurable'.Key policy insights Existing insurance schemes are ill-suited to fully respond to climate change loss and damage, given the increased frequency and severity of sudden onset events, slow onset events, and non-economic losses and damages. Insurance schemes fail to align with principles enshrined in the climate change regime, in particular the principle of common but differentiated responsibilities and respective capabilities (CBDR-RC) and intergenerational equity. Insurance products do not take economic inequality or gender considerations into account and loss and damage stemming from human mobility does not lend itself to insurance solutions as currently conceived, in certain circumstances. If insurance continues to be pursued as a response to loss and damage, it requires a major overhaul with innovative approaches. Policy makers must consider sourcing new and additional finance, reflecting the principle of CBDR-RC.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs13790 | 10.1080/14693062.2019.1671163 | Insurance schemes for loss and damage: fools' gold? | Insurance schemes are a widely supported form of finance mechanism to address climate change-induced loss and damage, and are part of the Warsaw International Mechanism for Loss and Damage. This paper reviews active insurance schemes for loss and damage by exploring existing critiques. Novel insights into the fundamental challenges that insurance schemes face are then examined, in particular in the context of common but differentiated responsibilities and respective capabilities, intergenerational equity, economic and gender inequality, and human mobility. The analysis concludes that, despite their popularity among policy makers, insurance schemes seem ill-suited to address the full range of loss and damage. Therefore, pursuing these schemes, without backstopping from international finance, might undermine the objective of responding to loss and damage in a comprehensive manner. Consequently, it may be advisable for policy makers to consider how to overcome the apparent challenges in order to 'insure the uninsurable'.Key policy insights Existing insurance schemes are ill-suited to fully respond to climate change loss and damage, given the increased frequency and severity of sudden onset events, slow onset events, and non-economic losses and damages. Insurance schemes fail to align with principles enshrined in the climate change regime, in particular the principle of common but differentiated responsibilities and respective capabilities (CBDR-RC) and intergenerational equity. Insurance products do not take economic inequality or gender considerations into account and loss and damage stemming from human mobility does not lend itself to insurance solutions as currently conceived, in certain circumstances. If insurance continues to be pursued as a response to loss and damage, it requires a major overhaul with innovative approaches. Policy makers must consider sourcing new and additional finance, reflecting the principle of CBDR-RC. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 EU Migration Regime and West African Clandestine Migrants."
Abstract:"This article examines the relationship between the EU migration regime and clandestine migration from West Africa to Europe. A review of the development of EU border and immigration policy reveals significant and sustained moves towards securitisation of migrants and the externalisation of border controls to countries of origin and transit. This emphasis on repression limits the scope of cooperation with `third countries' (those outside Europe) in co-development, labour mobility, sea patrols and repatriation, which are examined separately as deterrents to uncontrolled emigration. This paper then analyses the motivations and intentions of Senegalese youth around the Cap Vert peninsula. This analysis includes the role of emigration in development and more recently, the impact of human losses and repatriations resulting from the clandestine journey by pirogue (open fishing boat) to the Canary Islands. This article argues that in this case, youth are excluded both from labour and asylum policies and instead are managed as a security threat, contradicting the factors driving this journey.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [1];
Q4 = [0];
Q5 = [1];
Q6 = [0]. | abs16422 | gen.2009.5098306 | The EU Migration Regime and West African Clandestine Migrants | This article examines the relationship between the EU migration regime and clandestine migration from West Africa to Europe. A review of the development of EU border and immigration policy reveals significant and sustained moves towards securitisation of migrants and the externalisation of border controls to countries of origin and transit. This emphasis on repression limits the scope of cooperation with `third countries' (those outside Europe) in co-development, labour mobility, sea patrols and repatriation, which are examined separately as deterrents to uncontrolled emigration. This paper then analyses the motivations and intentions of Senegalese youth around the Cap Vert peninsula. This analysis includes the role of emigration in development and more recently, the impact of human losses and repatriations resulting from the clandestine journey by pirogue (open fishing boat) to the Canary Islands. This article argues that in this case, youth are excluded both from labour and asylum policies and instead are managed as a security threat, contradicting the factors driving this journey. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"The impact of immigration on tuberculosis and HIV burden between Colombia and Venezuela and across frontier regions."
Abstract:"Historically, human migrations have determined the spread of many infectious diseases by promoting the emergence of temporal outbreaks between populations. We aimed to analyze health indicators, expenditure, and disability caused by tuberculosis (TB) and HIV/AIDS burden under the Colombian-Venezuelan migration flow focusing on the Northeastern border. A retrospective study was conducted using TB and HIV/AIDS data since 2009. We consolidated a database using official reports from the Colombian Surveillance System, World Health Organization, Indexmundi, the Global Health Observatory, IHME HIV atlas, and Joint United Nations Programme on HIV/AIDS (UNAIDS). Disability metrics regarding DALYs (disability adjusted life years) and YLDs (years lived with disability), were compared between countries. Mapping was performed on ArcGIS using official migration data of Venezuelan citizens. Our results indicate that TB profiles from Colombia and Venezuela are identical in terms of disease burden, except for an increase in TB incidence in the Colombian-Venezuelan border departments in recent years, concomitantly with the massive Venezuelan immigration since 2005. We identified a four-fold underfunding for the TB program in Venezuela, which might explain the low-testing rates for cases of multidrug-resistant TB (67%) and HIV/AIDS (60%), as well as extended hospital stays (150 days). We found a significant increase in DALYs of HIV/AIDS patients in Venezuela, specifically, 362.35 compared to 265.37 observed in Colombia during 2017. This study suggests that the Venezuelan massive migration and program underfunding might exacerbate the dual burden of TB and HIV in Colombia, especially towards the Colombian-Venezuelan border.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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 = [3];
Q5 = [];
Q6 = [1]. | abs21936 | 10.1590/0102-311X00078820 | The impact of immigration on tuberculosis and HIV burden between Colombia and Venezuela and across frontier regions | Historically, human migrations have determined the spread of many infectious diseases by promoting the emergence of temporal outbreaks between populations. We aimed to analyze health indicators, expenditure, and disability caused by tuberculosis (TB) and HIV/AIDS burden under the Colombian-Venezuelan migration flow focusing on the Northeastern border. A retrospective study was conducted using TB and HIV/AIDS data since 2009. We consolidated a database using official reports from the Colombian Surveillance System, World Health Organization, Indexmundi, the Global Health Observatory, IHME HIV atlas, and Joint United Nations Programme on HIV/AIDS (UNAIDS). Disability metrics regarding DALYs (disability adjusted life years) and YLDs (years lived with disability), were compared between countries. Mapping was performed on ArcGIS using official migration data of Venezuelan citizens. Our results indicate that TB profiles from Colombia and Venezuela are identical in terms of disease burden, except for an increase in TB incidence in the Colombian-Venezuelan border departments in recent years, concomitantly with the massive Venezuelan immigration since 2005. We identified a four-fold underfunding for the TB program in Venezuela, which might explain the low-testing rates for cases of multidrug-resistant TB (67%) and HIV/AIDS (60%), as well as extended hospital stays (150 days). We found a significant increase in DALYs of HIV/AIDS patients in Venezuela, specifically, 362.35 compared to 265.37 observed in Colombia during 2017. This study suggests that the Venezuelan massive migration and program underfunding might exacerbate the dual burden of TB and HIV in Colombia, especially towards the Colombian-Venezuelan border. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Collective heritage and urban politics: an uncertain future for the living culture of Rio de Janeiro?."
Abstract:"During the last decades, significant urban transformations in Rio de Janeiro led to rapid structural changes in the historic core of the city and the favelas. The following population removals, evictions and physical destruction of neighbourhoods resulted in diverse local and national forms of protest and resistance, which were widely reported in the media. But what of the cultural heritage attached to the displaced people and the disrupted places? Our research focusses on the collective nature of this cultural heritage. We argue that the current dominant political and planning decisions cannot accommodate the city's living cultural heritage which relies on everyday human activities and draws on collective social practices, everyday knowledge and rituals of social life. To support our arguments, we conducted an analysis of Rio's collective heritage with regard to urban politics using the case study of two favelas, Vila Autodromo and Morro da Providencia, which have been severely affected by urban transformations during the planning of the mega-events of 2014 and 2016. Our results reveal that urban transformations cause undue stress on the collective heritage of these communities. They also highlight the potential of using collective heritage in participation processes in urban development projects as an insurgent factor.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs02052 | 10.1080/13527258.2018.1493700 | Collective heritage and urban politics: an uncertain future for the living culture of Rio de Janeiro? | During the last decades, significant urban transformations in Rio de Janeiro led to rapid structural changes in the historic core of the city and the favelas. The following population removals, evictions and physical destruction of neighbourhoods resulted in diverse local and national forms of protest and resistance, which were widely reported in the media. But what of the cultural heritage attached to the displaced people and the disrupted places? Our research focusses on the collective nature of this cultural heritage. We argue that the current dominant political and planning decisions cannot accommodate the city's living cultural heritage which relies on everyday human activities and draws on collective social practices, everyday knowledge and rituals of social life. To support our arguments, we conducted an analysis of Rio's collective heritage with regard to urban politics using the case study of two favelas, Vila Autodromo and Morro da Providencia, which have been severely affected by urban transformations during the planning of the mega-events of 2014 and 2016. Our results reveal that urban transformations cause undue stress on the collective heritage of these communities. They also highlight the potential of using collective heritage in participation processes in urban development projects as an insurgent factor. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Case study: Lesions due to forced ritual scarification in Cameroon-A warning from cultural anthropology to forensic medicine."
Abstract:"Asylum seekers and refugees are constantly increasing worldwide because of human rights' violations and political-related abuses. As a result, some of them show scars due to torture and other forms of maltreatments. In addition, they may also present scars due to ethnical practices, namely ritual scarifications. This case study presents a victim who did not give consent to perform such ethnical practices on her body. The authors aim to enlighten the difficulty to understand the origin and the purpose of these specific injuries and the importance to know how to distinguish them from other forms of abuse. Indeed, it appears that such lesions follow a cultural path, meaning that the lesions are performed methodically and may show macroscopic differences compared to others. The story narrated by the victim can be helpful for the experts' assessment, regardless, they may present memory-loss issues. This represents the value of a correct injuries' diagnosis and the importance of cultural anthropology-related analyses. The cultural and social background are relevant since the injuries have their own signification because of their symbolism. Therefore, a multidisciplinary approach with a cultural anthropologist may have the possibility to help the forensic experts in understanding and interpreting such stories fostering their ability to better assess asylum seekers stories and their reliability.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [5,6];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs05779 | 10.1016/j.legalmed.2021.101913 | Case study: Lesions due to forced ritual scarification in Cameroon-A warning from cultural anthropology to forensic medicine | Asylum seekers and refugees are constantly increasing worldwide because of human rights' violations and political-related abuses. As a result, some of them show scars due to torture and other forms of maltreatments. In addition, they may also present scars due to ethnical practices, namely ritual scarifications. This case study presents a victim who did not give consent to perform such ethnical practices on her body. The authors aim to enlighten the difficulty to understand the origin and the purpose of these specific injuries and the importance to know how to distinguish them from other forms of abuse. Indeed, it appears that such lesions follow a cultural path, meaning that the lesions are performed methodically and may show macroscopic differences compared to others. The story narrated by the victim can be helpful for the experts' assessment, regardless, they may present memory-loss issues. This represents the value of a correct injuries' diagnosis and the importance of cultural anthropology-related analyses. The cultural and social background are relevant since the injuries have their own signification because of their symbolism. Therefore, a multidisciplinary approach with a cultural anthropologist may have the possibility to help the forensic experts in understanding and interpreting such stories fostering their ability to better assess asylum seekers stories and their reliability. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Armenians in 1920s Greece: Turkey's Unwanted Minority, the League of Nations' Burden, Greece's Other Refugees."
Abstract:"This article sheds light upon the history of an underresearched group of refugees who settled in Greece in the 1920s. It focuses on Armenians from Anatolia who fled to Greece in 1921-22, during and after the Greek-Turkish War of 1919-22. The article examines how the Greek government and international humanitarian organizations (Near East Relief, American Red Cross, etc.) approached the Armenian refugees, including orphans. The study further highlights practices such as transfers of Armenians within Greece, repatriation programs supported by Greece to send the Armenian refugees to Soviet Armenia, and citizenship policies regarding them.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs07985 | 10.1163/18775462-bja10061 | Armenians in 1920s Greece: Turkey's Unwanted Minority, the League of Nations' Burden, Greece's Other Refugees | This article sheds light upon the history of an underresearched group of refugees who settled in Greece in the 1920s. It focuses on Armenians from Anatolia who fled to Greece in 1921-22, during and after the Greek-Turkish War of 1919-22. The article examines how the Greek government and international humanitarian organizations (Near East Relief, American Red Cross, etc.) approached the Armenian refugees, including orphans. The study further highlights practices such as transfers of Armenians within Greece, repatriation programs supported by Greece to send the Armenian refugees to Soviet Armenia, and citizenship policies regarding them. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Convolutional LSTM based transportation mode learning from raw GPS trajectories."
Abstract:"With the advancement of location acquisition technologies, a large amount of raw global positioning system (GPS) trajectory data is produced by many moving devices. Learning transportation modes from the GPS trajectory data is an important problem in the domain of trajectory data mining. Traditional supervised learning-based approaches rely heavily on data preprocessing and feature engineering, which require domain expertise and are time consuming. The authors propose a deep learning-based convolutional long short term memory (LSTM) model for transportation mode learning, in which the convolution neural network is first used to extract deep high-level features and then LSTM is used to learn the sequential patterns in the data that uses both GPS and weather features, thus making the full use of spatiotemporal operations. The authors have also analysed the impact of the geospatial region on human mobility. Experiments conducted on the Microsoft Geolife data set fused with the weather data set show that their model achieves the state-of-the-art results. The authors compare the performance of their model with the benchmark models, which shows the superiority of their model having 3% improvement in accuracy using only GPS features, and the accuracy is further improved by 4 and 7% on including the impact of geospatial region and weather attributes, respectively.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs16972 | 10.1049/iet-its.2019.0017 | Convolutional LSTM based transportation mode learning from raw GPS trajectories | With the advancement of location acquisition technologies, a large amount of raw global positioning system (GPS) trajectory data is produced by many moving devices. Learning transportation modes from the GPS trajectory data is an important problem in the domain of trajectory data mining. Traditional supervised learning-based approaches rely heavily on data preprocessing and feature engineering, which require domain expertise and are time consuming. The authors propose a deep learning-based convolutional long short term memory (LSTM) model for transportation mode learning, in which the convolution neural network is first used to extract deep high-level features and then LSTM is used to learn the sequential patterns in the data that uses both GPS and weather features, thus making the full use of spatiotemporal operations. The authors have also analysed the impact of the geospatial region on human mobility. Experiments conducted on the Microsoft Geolife data set fused with the weather data set show that their model achieves the state-of-the-art results. The authors compare the performance of their model with the benchmark models, which shows the superiority of their model having 3% improvement in accuracy using only GPS features, and the accuracy is further improved by 4 and 7% on including the impact of geospatial region and weather attributes, respectively. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Exile, Refuge and the Greek Polis: Between Justice and Humanity."
Abstract:"This article addresses the place of exiles and refugees in the Greek poleis (city-states), with a focus on the later Classical and Hellenistic periods (c. 400-100 bc). It examines the different forms of protection and aid granted by Greek poleis and their citizens to people displaced through war and civil strife. Its main focus is the range of arguments and ideals advanced by ancient Greeks as grounds for granting these forms of protection and aid to exiles and refugees. Displaced Greeks and their hosts could, for example, present aid to displaced groups as guided or inspired by justice, law, freedom and shared Greek identity. Alternatively, in a move which became increasingly prominent in formal political contexts in the period considered here, they could present help to the displaced principally as a matter of respecting unconditional ethical ties binding together all humans, or all 'citizens of the world'. This article argues that the diverse range of relevant Greek practices and values both reflected and helped to shape complex and shifting ancient Greek ideas about the city, citizenship, democracy, justice, freedom, virtue and gender. Throughout its argument, the article draws connections and contrasts between ancient Greek and modern liberal practices and ideology, and their underpinnings in broader ethical and political ideals. Modern liberal practices and values concerning aid to refugees draw on, and combine, the approaches and traditions evident in the ancient Greek world, as well as diverging from them in revealing ways.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs07241 | 10.1093/jrs/few027 | Exile, Refuge and the Greek Polis: Between Justice and Humanity | This article addresses the place of exiles and refugees in the Greek poleis (city-states), with a focus on the later Classical and Hellenistic periods (c. 400-100 bc). It examines the different forms of protection and aid granted by Greek poleis and their citizens to people displaced through war and civil strife. Its main focus is the range of arguments and ideals advanced by ancient Greeks as grounds for granting these forms of protection and aid to exiles and refugees. Displaced Greeks and their hosts could, for example, present aid to displaced groups as guided or inspired by justice, law, freedom and shared Greek identity. Alternatively, in a move which became increasingly prominent in formal political contexts in the period considered here, they could present help to the displaced principally as a matter of respecting unconditional ethical ties binding together all humans, or all 'citizens of the world'. This article argues that the diverse range of relevant Greek practices and values both reflected and helped to shape complex and shifting ancient Greek ideas about the city, citizenship, democracy, justice, freedom, virtue and gender. Throughout its argument, the article draws connections and contrasts between ancient Greek and modern liberal practices and ideology, and their underpinnings in broader ethical and political ideals. Modern liberal practices and values concerning aid to refugees draw on, and combine, the approaches and traditions evident in the ancient Greek world, as well as diverging from them in revealing ways. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 Disruption: Are We Beyond the Worst Case Scenario?."
Abstract:"The inability of world governments to agree on and implement effective mitigation response policy for anthropogenic climate change has resulted in the continuation of an exponential growth in greenhouse gas emissions (GHGs) that averages 3.1 per cent per year since 1870. With the exception of 2009, world GHG emission levels surpassed the Intergovernmental Panel on Climate Change (IPCC) (2000) worst case scenario every year since 2004. Because of increasing temperatures due to GHG emissions a suite of amplifying feedback mechanisms, such as massive methane leaks from the sub-sea Arctic Ocean, have engaged and are probably unstoppable. These processes, acting in concert with the biological and physical inertia of the Earth system in responding to atmospheric loading of GHGs, along with economic, political and social barriers to emission reduction, currently place Earth's climate trajectory well within the IPCC's A1FI future climate change scenario. There is a rapidly diminishing chance of altering this trajectory as time goes on. There is also now a very real risk of sudden climate change. The pace of this quickly advancing situation, along with our scientific understanding of it, has substantially outstripped policy discussion. This article examines current primary science literature and data on today's climate condition in a policy relevant context. Policy Implications center dot An all out shift to a broad range of adaptive response policies is urgently needed. Climate change will force reevaluations of present day governance agreements on trade, finance, food supply, security, development, environment, and similar sectors. center dot Easy to understand scientific data driven visualizations and culturally appropriate interpretations of probable future conditions are needed to facilitate realistic adaptive policy responses from all levels of governance. center dot Multilateral policies for an international crop seed cooperative could significantly lessen the impacts of crop failures and low yields, reducing the risk of famine and economic effects of unstable food prices. There is a need to store a large enough volume of crop seed varieties to allow for quick switching of varieties one year to the next based on dynamic forecasts of seasonal climates. center dot Harmonization of international, national, subnational, and local policies for the orderly resettlement of coastal populations should begin now. This will become a chronic condition involving very large numbers of people. Improved and coordinated policies are needed for refugee services and related issues of migration and integration as well as planning for land use change and infrastructure 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 = [1,2];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [1]. | abs19511 | 10.1111/j.1758-5899.2012.00193.x | Climate Disruption: Are We Beyond the Worst Case Scenario? | The inability of world governments to agree on and implement effective mitigation response policy for anthropogenic climate change has resulted in the continuation of an exponential growth in greenhouse gas emissions (GHGs) that averages 3.1 per cent per year since 1870. With the exception of 2009, world GHG emission levels surpassed the Intergovernmental Panel on Climate Change (IPCC) (2000) worst case scenario every year since 2004. Because of increasing temperatures due to GHG emissions a suite of amplifying feedback mechanisms, such as massive methane leaks from the sub-sea Arctic Ocean, have engaged and are probably unstoppable. These processes, acting in concert with the biological and physical inertia of the Earth system in responding to atmospheric loading of GHGs, along with economic, political and social barriers to emission reduction, currently place Earth's climate trajectory well within the IPCC's A1FI future climate change scenario. There is a rapidly diminishing chance of altering this trajectory as time goes on. There is also now a very real risk of sudden climate change. The pace of this quickly advancing situation, along with our scientific understanding of it, has substantially outstripped policy discussion. This article examines current primary science literature and data on today's climate condition in a policy relevant context. Policy Implications center dot An all out shift to a broad range of adaptive response policies is urgently needed. Climate change will force reevaluations of present day governance agreements on trade, finance, food supply, security, development, environment, and similar sectors. center dot Easy to understand scientific data driven visualizations and culturally appropriate interpretations of probable future conditions are needed to facilitate realistic adaptive policy responses from all levels of governance. center dot Multilateral policies for an international crop seed cooperative could significantly lessen the impacts of crop failures and low yields, reducing the risk of famine and economic effects of unstable food prices. There is a need to store a large enough volume of crop seed varieties to allow for quick switching of varieties one year to the next based on dynamic forecasts of seasonal climates. center dot Harmonization of international, national, subnational, and local policies for the orderly resettlement of coastal populations should begin now. This will become a chronic condition involving very large numbers of people. Improved and coordinated policies are needed for refugee services and related issues of migration and integration as well as planning for land use change and infrastructure 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:"Detention in the Hungarian Transit Zones: a Case of Higher Fundamental Rights Protection by EU Law vis-a-vis the ECHR."
Abstract:"In recent years, the concept of detention has been at the centre of important judicial discussions at the ECtHR and the ECJ. The two European courts have issued several landmark judgments on the threshold at which a situation constitutes a detention in the context of the Hungarian transit zones. A salient feature of the judicial saga of the Hungarian transit zones is that EU law seems to offer a higher level of fundamental rights protection than the ECHR. This article proposes to study the judicial saga as a case study to explore the phenomenon of higher protection under EU law. It is submitted that EU law offers a higher level of protection of the right to liberty and security in this judicial saga. It is argued that the phenomenon of higher protection under EU law is not in itself problematic, since both EU law and the ECHR are equipped to deal with such situations and, on the contrary, this may lead to a virtuous cycle between the two legal systems. However, it is suggested that the two European courts should enter into dialogue in such situations with a view to facilitating the role of domestic courts. This seems all the more important as such situations may become more frequent in view of the growing role of the EU as a fundamental rights standard-setter.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [0];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs09039 | gen.2022.55489033 | Detention in the Hungarian Transit Zones: a Case of Higher Fundamental Rights Protection by EU Law vis-a-vis the ECHR | In recent years, the concept of detention has been at the centre of important judicial discussions at the ECtHR and the ECJ. The two European courts have issued several landmark judgments on the threshold at which a situation constitutes a detention in the context of the Hungarian transit zones. A salient feature of the judicial saga of the Hungarian transit zones is that EU law seems to offer a higher level of fundamental rights protection than the ECHR. This article proposes to study the judicial saga as a case study to explore the phenomenon of higher protection under EU law. It is submitted that EU law offers a higher level of protection of the right to liberty and security in this judicial saga. It is argued that the phenomenon of higher protection under EU law is not in itself problematic, since both EU law and the ECHR are equipped to deal with such situations and, on the contrary, this may lead to a virtuous cycle between the two legal systems. However, it is suggested that the two European courts should enter into dialogue in such situations with a view to facilitating the role of domestic courts. This seems all the more important as such situations may become more frequent in view of the growing role of the EU as a fundamental rights standard-setter. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"BIOMECHANICAL ANALYSIS OF THE INTERVERTEBRAL DISC IMPLANT USING THE FINITE ELEMENT METHOD."
Abstract:"Dysfunctions of the vertebral column belong to a group of civilisation diseases and they affect approximately 80% of population. The underlying cause is modern (sedentary) lifestyle, low locomotive activity of people and frequent motor vehicle and sports accidents. Despite civilisation's progress, no injury prophylactics or prevention of dysfunctions of the vertebral column have been introduced. The key element influencing function of the vertebral column is the intervertebral disc. It enables multidimensional movements and constitutes a basic connective element between the joints of the vertebral column. It also enables performing basic daily activities. Acting as a. damper., it cushions vibrations and transmits loads between the vertebrae. One of the diseases affecting the intervertebral disc is discopathy. This is the most common degenerative disease, which can be treated by both conservative and surgical treatment. After removal of the damaged disc, it can be replaced by an adequate implant, which will assume its function. The implant will be expected to restore the vertebral column motor function, as well as to eliminate the pain resulting from compression of the spine caused by the damaged disc. This paper presents a biomechanical analysis using the finite element method for the L2-L3 vertebrae system with natural intervertebral disc, and the L2-L3 - implant of the intervertebral disc system. Two cases of the system vertebrae-implant were analysed which differed in the placement of the artificial disc in the intervertebral space. Within the conducted analysis, the state of displacement, strain and stress of reduced analysed systems and their individual elements was determined. A comparative analysis of the results and calculations was performed, also conclusions and observations were formulated, constituting a starting point for building more advanced calculation models and further analyses of such implants.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs03068 | 10.1515/adms-2015-0016 | BIOMECHANICAL ANALYSIS OF THE INTERVERTEBRAL DISC IMPLANT USING THE FINITE ELEMENT METHOD | Dysfunctions of the vertebral column belong to a group of civilisation diseases and they affect approximately 80% of population. The underlying cause is modern (sedentary) lifestyle, low locomotive activity of people and frequent motor vehicle and sports accidents. Despite civilisation's progress, no injury prophylactics or prevention of dysfunctions of the vertebral column have been introduced. The key element influencing function of the vertebral column is the intervertebral disc. It enables multidimensional movements and constitutes a basic connective element between the joints of the vertebral column. It also enables performing basic daily activities. Acting as a. damper., it cushions vibrations and transmits loads between the vertebrae. One of the diseases affecting the intervertebral disc is discopathy. This is the most common degenerative disease, which can be treated by both conservative and surgical treatment. After removal of the damaged disc, it can be replaced by an adequate implant, which will assume its function. The implant will be expected to restore the vertebral column motor function, as well as to eliminate the pain resulting from compression of the spine caused by the damaged disc. This paper presents a biomechanical analysis using the finite element method for the L2-L3 vertebrae system with natural intervertebral disc, and the L2-L3 - implant of the intervertebral disc system. Two cases of the system vertebrae-implant were analysed which differed in the placement of the artificial disc in the intervertebral space. Within the conducted analysis, the state of displacement, strain and stress of reduced analysed systems and their individual elements was determined. A comparative analysis of the results and calculations was performed, also conclusions and observations were formulated, constituting a starting point for building more advanced calculation models and further analyses of such implants. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 POPULATION OF PAKOSTANE FROM THE MIDDLE OF THE 15TH TO THE BEGINNING OF THE 17TH CENTURY."
Abstract:"Previous historiography has problematized the older demographic history of Pakostane (up to the beginning of the 17th century) based on the three archival sources: the 1597 settlement renewal contract and the lists of family heads from 1608 and 1610.In this paper, we reviewed these sources anew, at the same time outlining the dynamics of the historical demography of Pakostane in the period that preceded them -from the earliest reliable news to the beginning of the Cyprus War. For this purpose, we studied numerous unpublished writings of Zadar and Sibenik provenance.In the Middle Ages, Pakostane belonged to the Vrana district. Since passing under the auspices of the Republic of Venice in 1409, state properties in the district, including those in Pakostane, were managed by the Venetian Chamber in Zadar. Pakostane was assigned to the Zadar noble family Karnarutic as a hereditary property (a fiefdom) based on the State investiture in 1446. At that time, about 10 serf families lived in the village. Due to the strengthening of the Ottoman threat, during the second half of the 15th century and in the early decades of the 16th century, there were occasional migrations from and to Pakostane, mostly individual, which show that the network of origin and destination settlements of migrants did not exceed the boundaries of the wider Pakostane area. In addition, there were families that had been staying in the village for generations. It can be assumed with reason that there were shorter interruptions of population during the Ottoman incursions and the Venetian-Ottoman war of 1499-1502, but it is quite certain that the population to a good extent returned to their homes immediately after the danger ended. In the subsequent period, marked by the Venetian-Ottoman wars of 1537-1540 and 1570-1573, deeper demographic cuts occurred.During the war of 1537-1540, many inhabitants of the mainland part of the Zadar territory temporarily or permanently fled to the city, to the islands or outside Zadar territory. The people of Pakostane did the same and only one family returned to the village after the end of the war. The 548 contracts signed between the feudal lords of Karnarutic and potential settlers indicate the slow reconstruction and years of neglect of Pakostane. Based on these contracts, the six residents of the island of Murter took six settlements of Pakostane for cultivation, with the obligation to settle in them with their families. It seems that only one of them fulfilled the obligation, because the surnames of the other five are not mentioned in later sources. In the middle of 1552, there were at least 10 families living in Pakostane, with the following surnames: Aladinic (Ladinovic), Dikoje (and/or Trvizanovic), Feketic, Jakovic, Kovacic, Lipinic, Siko, Svirac and Visic. We tend to conclude that some of them belong to Morlach families, former Ottoman subjects who settled in Pakostane after the war, more precisely in the period 1548-1550.In the first year of ."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs19670 | 10.21857/yl4okf5ge9 | THE POPULATION OF PAKOSTANE FROM THE MIDDLE OF THE 15TH TO THE BEGINNING OF THE 17TH CENTURY | Previous historiography has problematized the older demographic history of Pakostane (up to the beginning of the 17th century) based on the three archival sources: the 1597 settlement renewal contract and the lists of family heads from 1608 and 1610.In this paper, we reviewed these sources anew, at the same time outlining the dynamics of the historical demography of Pakostane in the period that preceded them -from the earliest reliable news to the beginning of the Cyprus War. For this purpose, we studied numerous unpublished writings of Zadar and Sibenik provenance.In the Middle Ages, Pakostane belonged to the Vrana district. Since passing under the auspices of the Republic of Venice in 1409, state properties in the district, including those in Pakostane, were managed by the Venetian Chamber in Zadar. Pakostane was assigned to the Zadar noble family Karnarutic as a hereditary property (a fiefdom) based on the State investiture in 1446. At that time, about 10 serf families lived in the village. Due to the strengthening of the Ottoman threat, during the second half of the 15th century and in the early decades of the 16th century, there were occasional migrations from and to Pakostane, mostly individual, which show that the network of origin and destination settlements of migrants did not exceed the boundaries of the wider Pakostane area. In addition, there were families that had been staying in the village for generations. It can be assumed with reason that there were shorter interruptions of population during the Ottoman incursions and the Venetian-Ottoman war of 1499-1502, but it is quite certain that the population to a good extent returned to their homes immediately after the danger ended. In the subsequent period, marked by the Venetian-Ottoman wars of 1537-1540 and 1570-1573, deeper demographic cuts occurred.During the war of 1537-1540, many inhabitants of the mainland part of the Zadar territory temporarily or permanently fled to the city, to the islands or outside Zadar territory. The people of Pakostane did the same and only one family returned to the village after the end of the war. The 548 contracts signed between the feudal lords of Karnarutic and potential settlers indicate the slow reconstruction and years of neglect of Pakostane. Based on these contracts, the six residents of the island of Murter took six settlements of Pakostane for cultivation, with the obligation to settle in them with their families. It seems that only one of them fulfilled the obligation, because the surnames of the other five are not mentioned in later sources. In the middle of 1552, there were at least 10 families living in Pakostane, with the following surnames: Aladinic (Ladinovic), Dikoje (and/or Trvizanovic), Feketic, Jakovic, Kovacic, Lipinic, Siko, Svirac and Visic. We tend to conclude that some of them belong to Morlach families, former Ottoman subjects who settled in Pakostane after the war, more precisely in the period 1548-1550.In the first year of the Cyprus War (1570), all settlements on the coast of Biograd, including Pakostane, were burned or destroyed. History repeated itself, the population perished or fled, and there was no return. The village was rebuilt only in 1597, with signing of the contract between Margarita Karnarutic and 14 serfs (six each from Biograd and Zlosela and two from the island of Murter), who were to settle the old village of Pakostane and build a defensive wall around it. Judging by the lists of heads of families from 1608 and 1610, only five of the aforementioned fourteen can be said with certainty to have become residents of Pakostane. Overall, the families that had lived in Biograd (Ajazovic, Dikovic, Dlancic, Ljubovic, Pehrinovic, Pilicaric, Punosevic) and Zloselo (Baicevic/ Backovic, Milic) participated to the greatest extent in the second reconstruction of the settlement. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 Young Refugees Cope with Conflict in Culturally and Linguistically Diverse Urban Schools."
Abstract:"ObjectiveThis study compared how young people from diverse migration backgrounds (refugee, immigrant, and local) cope with interpersonal conflicts with an aim to understand how practitioners can most effectively support young people of different backgrounds. Productive, non-productive, and reference to other coping styles were expected to differ according to students' age, exposure to trauma, and migration backgrounds. MethodsMixed methods were used to explore the meaning of conflict within culturally and linguistically diverse school settings, and investigate how social factors influenced students' preferred coping styles in relation to conflict. Eighty students attending mainstream and specialist language schools in Melbourne completed measures regarding their exposure to traumatic events and preferred coping styles when dealing with conflicts. ResultsSignificant positive correlations were found between exposure to trauma and age, as well as exposure to trauma and the use of non-productive coping across the sample. Analyses on traumatic event items revealed that young refugees, compared to immigrant or locals, were more likely to have been exposed to events such as sudden death of a person, fire, or war zones. ConclusionsFindings suggested practitioners must consider how multiple factors such trauma, social environment, and everyday stressors influence how young people cope with conflict. Universal interventions with a problem-solving and coping framework are likely to be beneficial to those students exposed to trauma and whole school communities.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [6];
Q3 = [2];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs13083 | 10.1111/ap.12245 | How Young Refugees Cope with Conflict in Culturally and Linguistically Diverse Urban Schools | ObjectiveThis study compared how young people from diverse migration backgrounds (refugee, immigrant, and local) cope with interpersonal conflicts with an aim to understand how practitioners can most effectively support young people of different backgrounds. Productive, non-productive, and reference to other coping styles were expected to differ according to students' age, exposure to trauma, and migration backgrounds. MethodsMixed methods were used to explore the meaning of conflict within culturally and linguistically diverse school settings, and investigate how social factors influenced students' preferred coping styles in relation to conflict. Eighty students attending mainstream and specialist language schools in Melbourne completed measures regarding their exposure to traumatic events and preferred coping styles when dealing with conflicts. ResultsSignificant positive correlations were found between exposure to trauma and age, as well as exposure to trauma and the use of non-productive coping across the sample. Analyses on traumatic event items revealed that young refugees, compared to immigrant or locals, were more likely to have been exposed to events such as sudden death of a person, fire, or war zones. ConclusionsFindings suggested practitioners must consider how multiple factors such trauma, social environment, and everyday stressors influence how young people cope with conflict. Universal interventions with a problem-solving and coping framework are likely to be beneficial to those students exposed to trauma and whole school communities. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Individuals from Minority and Marginalized Groups before the Strasbourg Court: Legal Norms and State Responses from a Comparative Perspective."
Abstract:"The obligation of states to implement the European Court of Human Rights case-law and the potential to exert influence in domestic laws and policies have been instrumental in the establishment and consolidation of the regime of human rights protection established by the European Convention on Human Rights. This article outlines a frame for exploring domestic implementation of ECtHR judgments by specifically focusing on case-law pertaining to marginalized individuals and minorities across different countries. The Court's jurisprudence has progressively extended the scope of the civil and political rights contained in the Convention to address and at times embrace a multifaceted set of rights claims by non-dominant and marginalized groups, such as prisoners, immigrants, refugees, ethnic, religious, sexual minorities, etc. The purpose of the research introduced by this article is to comparatively explore the conditions under which state authorities implement adverse judgments pertaining to such groups, as well as to probe whether these promote rights-expansive policy change at the national level.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [5];
Q3 = [0];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs16295 | gen.2010.28678203 | Individuals from Minority and Marginalized Groups before the Strasbourg Court: Legal Norms and State Responses from a Comparative Perspective | The obligation of states to implement the European Court of Human Rights case-law and the potential to exert influence in domestic laws and policies have been instrumental in the establishment and consolidation of the regime of human rights protection established by the European Convention on Human Rights. This article outlines a frame for exploring domestic implementation of ECtHR judgments by specifically focusing on case-law pertaining to marginalized individuals and minorities across different countries. The Court's jurisprudence has progressively extended the scope of the civil and political rights contained in the Convention to address and at times embrace a multifaceted set of rights claims by non-dominant and marginalized groups, such as prisoners, immigrants, refugees, ethnic, religious, sexual minorities, etc. The purpose of the research introduced by this article is to comparatively explore the conditions under which state authorities implement adverse judgments pertaining to such groups, as well as to probe whether these promote rights-expansive policy change at the national level. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Exploring Human Mobility Patterns and Travel Behavior: A Focus on Private Cars."
Abstract:"The ever-increasing number of automobiles, especially private cars, has irrevocably altered social life, revolutionized travel experience, and reshaped the face of urban transportation systems. Existing research mainly focuses on trajectory data from floating cars, while ha man mobility and travel behavior by private cars are still little understood. To bridge this gap, we employ a private car trajectory data set collected from real-world urban environments. This article provides a new perspective on human mobility, with a focus on private cars, by investigating mobility patterns and capturing the spatiotemporal evolution of urban hot zones from people's arrive-stay-leave (ASL) behavior. Understanding these hot zones and travel behavior patterns is necessary when considering changes or improvements in urban networks. Decisions impacting the safety and emissions impacts of urban travel, including, for example, design improvements at curves or to reduce left-turn conflicts, improvements to pedestrian facilities, and the placement of alternative energy refueling stations, will rely on similar analyses across many different urban areas. Our article provides a proof of concept, and we then outline new research opportunities and challenges involving private car trajectory data Along with the increased process of urbanization and in-dustriallzation, recent years have witnessed an ever-increasing number of automobiles, especially private cars [1], also known as passenger cars, those with less than seven seats and usually registered to individuals for personal use. Compared to floating cars [2], private cars constitute the vast majority of automobiles. For instance, the nationwide ownership of automobiles in China exceeded 263 million by the end of 2019 [3], and more than 88% of these vehicles (225 million) were registered to individuals. As shown in Figure 1(a), ownership of private cars exhibited a growing trend from 2013 to 2019. As seen in Sivak's technical report [4], per capita car ownership in the United States was 0.756 in 2015 and increased to 0.766 by 2016. According to [5], in the last two decades, private cars accounted for more than 75% of passenger transport activity in the European Union. As shown in Figure 1(b), even though a slightly decreasing trend is expected by 2030, it is still expected to be larger than 72%.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [2];
Q4 = [0];
Q5 = [];
Q6 = [1]. | abs10587 | 10.1109/MITS.2021.3098627 | Exploring Human Mobility Patterns and Travel Behavior: A Focus on Private Cars | The ever-increasing number of automobiles, especially private cars, has irrevocably altered social life, revolutionized travel experience, and reshaped the face of urban transportation systems. Existing research mainly focuses on trajectory data from floating cars, while ha man mobility and travel behavior by private cars are still little understood. To bridge this gap, we employ a private car trajectory data set collected from real-world urban environments. This article provides a new perspective on human mobility, with a focus on private cars, by investigating mobility patterns and capturing the spatiotemporal evolution of urban hot zones from people's arrive-stay-leave (ASL) behavior. Understanding these hot zones and travel behavior patterns is necessary when considering changes or improvements in urban networks. Decisions impacting the safety and emissions impacts of urban travel, including, for example, design improvements at curves or to reduce left-turn conflicts, improvements to pedestrian facilities, and the placement of alternative energy refueling stations, will rely on similar analyses across many different urban areas. Our article provides a proof of concept, and we then outline new research opportunities and challenges involving private car trajectory data Along with the increased process of urbanization and in-dustriallzation, recent years have witnessed an ever-increasing number of automobiles, especially private cars [1], also known as passenger cars, those with less than seven seats and usually registered to individuals for personal use. Compared to floating cars [2], private cars constitute the vast majority of automobiles. For instance, the nationwide ownership of automobiles in China exceeded 263 million by the end of 2019 [3], and more than 88% of these vehicles (225 million) were registered to individuals. As shown in Figure 1(a), ownership of private cars exhibited a growing trend from 2013 to 2019. As seen in Sivak's technical report [4], per capita car ownership in the United States was 0.756 in 2015 and increased to 0.766 by 2016. According to [5], in the last two decades, private cars accounted for more than 75% of passenger transport activity in the European Union. As shown in Figure 1(b), even though a slightly decreasing trend is expected by 2030, it is still expected to be larger than 72%. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Near real-time forecasting for cholera decision making in Haiti after Hurricane Matthew."
Abstract:"Computational models of cholera transmission can provide objective insights into the course of an ongoing epidemic and aid decision making on allocation of health care resources. However, models are typically designed, calibrated and interpreted post-hoc. Here, we report the efforts of a team from academia, field research and humanitarian organizations to model in near real-time the Haitian cholera outbreak after Hurricane Matthew in October 2016, to assess risk and to quantitatively estimate the efficacy of a then ongoing vaccination campaign. A rainfall-driven, spatially-explicit meta-community model of cholera transmission was coupled to a data assimilation scheme for computing short-term projections of the epidemic in near real-time. The model was used to forecast cholera incidence for the months after the passage of the hurricane (October-December 2016) and to predict the impact of a planned oral cholera vaccination campaign. Our first projection, from October 29 to December 31, predicted the highest incidence in the departments of Grande Anse and Sud, accounting for about 45% of the total cases in Haiti. The projection included a second peak in cholera incidence in early December largely driven by heavy rainfall forecasts, confirming the urgency for rapid intervention. A second projection (from November 12 to December 31) used updated rainfall forecasts to estimate that 835 cases would be averted by vaccinations in Grande Anse (90% Prediction Interval [PI] 476-1284) and 995 in Sud (90% PI 508-2043). The experience gained by this modeling effort shows that state-of-theart computational modeling and data-assimilation methods can produce informative near real-time projections of cholera incidence. Collaboration among modelers and field epidemiologists is indispensable to gain fast access to field data and to translate model results into operational recommendations for emergency management during an outbreak. Future efforts should thus draw together multi-disciplinary teams to ensure model outputs are appropriately based, interpreted and communicated.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [1,2];
Q3 = [2];
Q4 = [40];
Q5 = [];
Q6 = [1]. | abs17194 | 10.1371/journal.pcbi.1006127 | Near real-time forecasting for cholera decision making in Haiti after Hurricane Matthew | Computational models of cholera transmission can provide objective insights into the course of an ongoing epidemic and aid decision making on allocation of health care resources. However, models are typically designed, calibrated and interpreted post-hoc. Here, we report the efforts of a team from academia, field research and humanitarian organizations to model in near real-time the Haitian cholera outbreak after Hurricane Matthew in October 2016, to assess risk and to quantitatively estimate the efficacy of a then ongoing vaccination campaign. A rainfall-driven, spatially-explicit meta-community model of cholera transmission was coupled to a data assimilation scheme for computing short-term projections of the epidemic in near real-time. The model was used to forecast cholera incidence for the months after the passage of the hurricane (October-December 2016) and to predict the impact of a planned oral cholera vaccination campaign. Our first projection, from October 29 to December 31, predicted the highest incidence in the departments of Grande Anse and Sud, accounting for about 45% of the total cases in Haiti. The projection included a second peak in cholera incidence in early December largely driven by heavy rainfall forecasts, confirming the urgency for rapid intervention. A second projection (from November 12 to December 31) used updated rainfall forecasts to estimate that 835 cases would be averted by vaccinations in Grande Anse (90% Prediction Interval [PI] 476-1284) and 995 in Sud (90% PI 508-2043). The experience gained by this modeling effort shows that state-of-theart computational modeling and data-assimilation methods can produce informative near real-time projections of cholera incidence. Collaboration among modelers and field epidemiologists is indispensable to gain fast access to field data and to translate model results into operational recommendations for emergency management during an outbreak. Future efforts should thus draw together multi-disciplinary teams to ensure model outputs are appropriately based, interpreted and communicated. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 mental health war-damaged populations."
Abstract:"Melissa Parker This article draws upon the psychiatric, psychoanalytic and anthropological literature to show that we know very little about the psychological consequences of war and upheaval in the non-Western world. The small amount we do know suggests that while suffering is often intense, many of the therapeutic responses on offer are inappropriate as they are informed by psychiatric and psychoanalytic thought and practice which have little relevance to the majority of people living in the non-Western world.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [0]. | abs18053 | 10.1111/j.1759-5436.1996.mp27003007.x | The mental health war-damaged populations | Melissa Parker This article draws upon the psychiatric, psychoanalytic and anthropological literature to show that we know very little about the psychological consequences of war and upheaval in the non-Western world. The small amount we do know suggests that while suffering is often intense, many of the therapeutic responses on offer are inappropriate as they are informed by psychiatric and psychoanalytic thought and practice which have little relevance to the majority of people living in the non-Western world. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"The Class of 1989 and physician supply in Canada."
Abstract:"Background: The Class of 1989 is a study of 1722 people who were awarded an MD degree by a Canadian university in 1989. This paper reports on migration, specialty choices and patterns of post-MD training in order to assess the contribution of the graduating cohort to the physician workforce of Canada. Methods: A longitudinal study was conducted over 7 years after graduation to trace the current location, the post-MD training history and the professional activity of the graduating cohort. Several medical professional and educational associations in Canada and the United States provided year-by-year information on field and location of post-MD training, certification achieved, whether in practice and location of practice through to spring 1996. Information from all sources was linked to a list of 1989 medical school graduates. Results: From entry to medical school through to 7 years after graduation the cohort was diminished by about 16%. The main reason for loss was migration to other countries: 193 graduates (11.2%) were outside Canada in 1995-96. Internal migration was extensive also; for example, by 1995-96 relatively few of the graduates were located in Newfoundland or Saskatchewan. Of the 1516 graduates active in Canada in 1995-96, 878 (57.9%) were in general practice/family medicine, and only 638 (42.1%) were practising or training in a specialty. Interpretation: The yield of the Class of 1989 for Canada's physician workforce is insufficient to meet annual physician inflows from Canadian sources to serve population growth and to replace retiring or emigrating physicians. As output from Canada's medical schools drops even further, the gap between requirements and supply will grow even wider.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [3];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [1]. | abs20922 | gen.1998.38096790 | The Class of 1989 and physician supply in Canada | Background: The Class of 1989 is a study of 1722 people who were awarded an MD degree by a Canadian university in 1989. This paper reports on migration, specialty choices and patterns of post-MD training in order to assess the contribution of the graduating cohort to the physician workforce of Canada. Methods: A longitudinal study was conducted over 7 years after graduation to trace the current location, the post-MD training history and the professional activity of the graduating cohort. Several medical professional and educational associations in Canada and the United States provided year-by-year information on field and location of post-MD training, certification achieved, whether in practice and location of practice through to spring 1996. Information from all sources was linked to a list of 1989 medical school graduates. Results: From entry to medical school through to 7 years after graduation the cohort was diminished by about 16%. The main reason for loss was migration to other countries: 193 graduates (11.2%) were outside Canada in 1995-96. Internal migration was extensive also; for example, by 1995-96 relatively few of the graduates were located in Newfoundland or Saskatchewan. Of the 1516 graduates active in Canada in 1995-96, 878 (57.9%) were in general practice/family medicine, and only 638 (42.1%) were practising or training in a specialty. Interpretation: The yield of the Class of 1989 for Canada's physician workforce is insufficient to meet annual physician inflows from Canadian sources to serve population growth and to replace retiring or emigrating physicians. As output from Canada's medical schools drops even further, the gap between requirements and supply will grow even wider. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Humanitarian infrastructures in the border cities of Ciudad Juarez and Tijuana."
Abstract:"Based on theories on migration infrastructure and on migration industry, this article analyzes the installation and development of humanitarian assistance institutions for asylum seekers on the northern border of Mexico. It describes three types of institutions and procedures created between 2019 and 2021 in Ciudad Juarez and Tijuana: Integration Centers for Migrants administered by the Mexican federal government, the filter hotels led by the International Organization for Migration, and the CONECTA system, coordinated by the United Nations High Commissioner for Refugees. It shows the effects of outsourcing migration control and humanitarian policies to non-state actors and international agencies, and the consequences of humanitarianism in security policies.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5];
Q3 = [1];
Q4 = [0];
Q5 = [1];
Q6 = [0]. | abs05303 | 10.21670/ref.2319130 | Humanitarian infrastructures in the border cities of Ciudad Juarez and Tijuana | Based on theories on migration infrastructure and on migration industry, this article analyzes the installation and development of humanitarian assistance institutions for asylum seekers on the northern border of Mexico. It describes three types of institutions and procedures created between 2019 and 2021 in Ciudad Juarez and Tijuana: Integration Centers for Migrants administered by the Mexican federal government, the filter hotels led by the International Organization for Migration, and the CONECTA system, coordinated by the United Nations High Commissioner for Refugees. It shows the effects of outsourcing migration control and humanitarian policies to non-state actors and international agencies, and the consequences of humanitarianism in security policies. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Global Elderly Migrations and Their Impact on Health Care Systems."
Abstract:"Demographic transitions that occur in decreased dynamics of natality and rising number of elderly in population structures constitute a challenge for all national economies. Another global phenomena are large-scale migration processes driven by intensification of globalization process, development of technologies, and telecommunications. Although both these phenomena were vastly addressed in many ways in scientific literature, a notifiable fact is that there are only few researches that would investigate them in connection and consider migration of older people and its consequences, especially for health systems. Despite the fact that generally the likelihood of migrations reduces along with age, in some countries a higher share of migrants older than 65 years in reference to the entire group of migrants are being observed. It is the more essential that groups of seniors represent an increasing percentage of people. There are also differences in between standard reasons for migrations in young people and the factors affecting migrations in elderly ones. Many variables can influence migration decisions among older people, and they can be affected by seniors' health conditions, levels of health care within the target countries they migrate to, and the living standards. Such factors as population aging, reduced fertility, and international migration have affected the changes in demographic profiles of many countries. The consequence of migration decisions in the group of seniors is, among others, the impact on health care systems of single nation states, which are more and more important elements of economic, social, and financial systems.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [6,7];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs19963 | 10.3389/fpubh.2020.00386 | Global Elderly Migrations and Their Impact on Health Care Systems | Demographic transitions that occur in decreased dynamics of natality and rising number of elderly in population structures constitute a challenge for all national economies. Another global phenomena are large-scale migration processes driven by intensification of globalization process, development of technologies, and telecommunications. Although both these phenomena were vastly addressed in many ways in scientific literature, a notifiable fact is that there are only few researches that would investigate them in connection and consider migration of older people and its consequences, especially for health systems. Despite the fact that generally the likelihood of migrations reduces along with age, in some countries a higher share of migrants older than 65 years in reference to the entire group of migrants are being observed. It is the more essential that groups of seniors represent an increasing percentage of people. There are also differences in between standard reasons for migrations in young people and the factors affecting migrations in elderly ones. Many variables can influence migration decisions among older people, and they can be affected by seniors' health conditions, levels of health care within the target countries they migrate to, and the living standards. Such factors as population aging, reduced fertility, and international migration have affected the changes in demographic profiles of many countries. The consequence of migration decisions in the group of seniors is, among others, the impact on health care systems of single nation states, which are more and more important elements of economic, social, and financial systems. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data."
Abstract:"Human mobility data refers to records of human movements, such as cellphone traces, vehicle GPS trajectories, geo-tagged posts, and photos. While successfully mining human mobility data can benefit many applications such as city planning, transportation, urban economics, and public safety, it is very challenging to model large-scale Heterogeneous Human Mobility Data (HHMD) that are generated from different resources. In this paper, we develop a general collective learning approach to model HHMD at an individual level towards identifying and quantifying the urban forms of residential communities. Specifically, our proposed method exploits two geographic regularities among HHMD. First, we jointly capture the correlations among residential communities, urban functions, temporal effects, and user mobility patterns by analogizing communities as documents and mobility patterns as words. Also, we further combine explicit LASSO analysis and significant testing into latent representation learning as a regularization term by analogizing compatible Point-of-Interests (POIs) as the meta-data of communities. In this way, we can learn the urban forms, including a mix of functions and corresponding portfolios, of residential communities from HHDM and POIs. We further leverage these learned results to address two application problems: real estate ranking and restaurant popularity prediction. Finally, we conduct intensive evaluations with a variety of real-world data, where experimental results demonstrate the effectiveness of our proposed modeling method and its successful applications for other problems.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [0];
Q3 = [2];
Q4 = [0];
Q5 = [];
Q6 = [1]. | abs06666 | 10.1109/TKDE.2018.2837027 | Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data | Human mobility data refers to records of human movements, such as cellphone traces, vehicle GPS trajectories, geo-tagged posts, and photos. While successfully mining human mobility data can benefit many applications such as city planning, transportation, urban economics, and public safety, it is very challenging to model large-scale Heterogeneous Human Mobility Data (HHMD) that are generated from different resources. In this paper, we develop a general collective learning approach to model HHMD at an individual level towards identifying and quantifying the urban forms of residential communities. Specifically, our proposed method exploits two geographic regularities among HHMD. First, we jointly capture the correlations among residential communities, urban functions, temporal effects, and user mobility patterns by analogizing communities as documents and mobility patterns as words. Also, we further combine explicit LASSO analysis and significant testing into latent representation learning as a regularization term by analogizing compatible Point-of-Interests (POIs) as the meta-data of communities. In this way, we can learn the urban forms, including a mix of functions and corresponding portfolios, of residential communities from HHDM and POIs. We further leverage these learned results to address two application problems: real estate ranking and restaurant popularity prediction. Finally, we conduct intensive evaluations with a variety of real-world data, where experimental results demonstrate the effectiveness of our proposed modeling method and its successful applications for other problems. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Refugee camp economies."
Abstract:"This paper describes the economy of a refugee camp. Key distortions to the economy of Kyangwali Refugee Settlement in Uganda are noted and the findings are used to construct a generic model of a refugee camp economy. Camp economies are influenced by host country policies, such as restrictions on refugees' movement and work, as well as by the physical and economic isolation of the site. Moreover, market outcomes interact with the nature of humanitarian assistance and the special demographic composition of the refugees to determine the prices and quantities that characterize the market. An awareness of the dynamics of the refugee camp economy has important implications for practitioners and scholars alike.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs16669 | 10.1093/jrs/fem001 | Refugee camp economies | This paper describes the economy of a refugee camp. Key distortions to the economy of Kyangwali Refugee Settlement in Uganda are noted and the findings are used to construct a generic model of a refugee camp economy. Camp economies are influenced by host country policies, such as restrictions on refugees' movement and work, as well as by the physical and economic isolation of the site. Moreover, market outcomes interact with the nature of humanitarian assistance and the special demographic composition of the refugees to determine the prices and quantities that characterize the market. An awareness of the dynamics of the refugee camp economy has important implications for practitioners and scholars alike. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 business of anthropology and the European refugee regime."
Abstract:"Metaphors of flooding and flows are often applied in the public sphere to the phenomena of displacement and migration, but there are also waves and tides of humanitarian actors, voluntourists, and researchers now focused on refugees. Humanitarian, security, and anthropological interventions in the European refugee crisis of 2015-16 often operate according to a shared logic of urgency and crisis. Key problems and pitfalls in current anthropological trends in the study of displacement on Europe's doorstep are linked to the business dimensions of anthropological work. The business of anthropology reinforces the European refugee regime, which makes border crossers into targets of policing, intervention, and study.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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 = [];
Q5 = [1];
Q6 = [0]. | abs06202 | 10.1111/amet.12791 | The business of anthropology and the European refugee regime | Metaphors of flooding and flows are often applied in the public sphere to the phenomena of displacement and migration, but there are also waves and tides of humanitarian actors, voluntourists, and researchers now focused on refugees. Humanitarian, security, and anthropological interventions in the European refugee crisis of 2015-16 often operate according to a shared logic of urgency and crisis. Key problems and pitfalls in current anthropological trends in the study of displacement on Europe's doorstep are linked to the business dimensions of anthropological work. The business of anthropology reinforces the European refugee regime, which makes border crossers into targets of policing, intervention, and study. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"COVID-19 as Cause versus Trigger for the Collapse of Capitalism."
Abstract:"According to the official narrative of COVID-19, the pandemic has caused the global capitalist economy to collapse, or at least to enter a deep recession and possibly a great depression. Assigning blame to a virus takes attention away from the structural contradictions and instabilities of capitalism that would have led to a crash in any case. This narrative also helps justify non-evidence-based public health policies, including lockdowns, travel bans, closed schools and factories, and forced quarantines of large populations rather than individuals and clustered groups who harbor the infection. Advantages of such drastic measures happen primarily in countries that did not prepare adequately, that did not respond quickly enough with more focused measures to test and isolate people infected with the virus, and that have health care systems either organized by capitalist principles or suffering cutbacks and privatization as a result of capitalist economic ideologies, such as austerity. Authoritarian tactics purportedly intended to protect public health pave the way to antidemocratic rule, militarism, and fascism. These harsh policies also exert their most adverse effects on poor, minority, incarcerated, immigrant, and otherwise marginalized populations, who already suffer from the worsening economic inequality that global, financialized capitalism has fostered.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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 = [];
Q5 = [];
Q6 = [0]. | abs01342 | 10.1177/0020731420977711 | COVID-19 as Cause versus Trigger for the Collapse of Capitalism | According to the official narrative of COVID-19, the pandemic has caused the global capitalist economy to collapse, or at least to enter a deep recession and possibly a great depression. Assigning blame to a virus takes attention away from the structural contradictions and instabilities of capitalism that would have led to a crash in any case. This narrative also helps justify non-evidence-based public health policies, including lockdowns, travel bans, closed schools and factories, and forced quarantines of large populations rather than individuals and clustered groups who harbor the infection. Advantages of such drastic measures happen primarily in countries that did not prepare adequately, that did not respond quickly enough with more focused measures to test and isolate people infected with the virus, and that have health care systems either organized by capitalist principles or suffering cutbacks and privatization as a result of capitalist economic ideologies, such as austerity. Authoritarian tactics purportedly intended to protect public health pave the way to antidemocratic rule, militarism, and fascism. These harsh policies also exert their most adverse effects on poor, minority, incarcerated, immigrant, and otherwise marginalized populations, who already suffer from the worsening economic inequality that global, financialized capitalism has fostered. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 Natural-language-based Visual Query Approach of Uncertain Human Trajectories."
Abstract:"Visual querying is essential for interactively exploring massive trajectory data. However, the data uncertainty imposes profound challenges to fulfill advanced analytics requirements. On the one hand, many underlying data does not contain accurate geographic coordinates, e.g., positions of a mobile phone only refer to the regions (i.e., mobile cell stations) in which it resides, instead of accurate GPS coordinates. On the other hand, domain experts and general users prefer a natural way, such as using a natural language sentence, to access and analyze massive movement data. In this paper, we propose a visual analytics approach that can extract spatial-temporal constraints from a textual sentence and support an effective query method over uncertain mobile trajectory data. It is built up on encoding massive, spatially uncertain trajectories by the semantic information of the POls and regions covered by them, and then storing the trajectory documents in text database with an effective indexing scheme. The visual interface facilitates query condition specification, situation-aware visualization, and semantic exploration of large trajectory data. Usage scenarios on real-world human mobility datasets demonstrate the effectiveness 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 = [1];
Q2 = [0];
Q3 = [0];
Q4 = [0];
Q5 = [0];
Q6 = [1]. | abs13891 | 10.1109/TVCG.2019.2934671 | A Natural-language-based Visual Query Approach of Uncertain Human Trajectories | Visual querying is essential for interactively exploring massive trajectory data. However, the data uncertainty imposes profound challenges to fulfill advanced analytics requirements. On the one hand, many underlying data does not contain accurate geographic coordinates, e.g., positions of a mobile phone only refer to the regions (i.e., mobile cell stations) in which it resides, instead of accurate GPS coordinates. On the other hand, domain experts and general users prefer a natural way, such as using a natural language sentence, to access and analyze massive movement data. In this paper, we propose a visual analytics approach that can extract spatial-temporal constraints from a textual sentence and support an effective query method over uncertain mobile trajectory data. It is built up on encoding massive, spatially uncertain trajectories by the semantic information of the POls and regions covered by them, and then storing the trajectory documents in text database with an effective indexing scheme. The visual interface facilitates query condition specification, situation-aware visualization, and semantic exploration of large trajectory data. Usage scenarios on real-world human mobility datasets demonstrate the effectiveness 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:"Measuring rural-urban disparity with the Genuine Progress Indicator: A case study in Japan."
Abstract:"Japan, often regarded as one of the world's most egalitarian societies, has faced increasing rural-urban disparity since the late 1980s. However, even if the wages and income levels of rural populations are lower than those of urban residents, some people will remain in the rural areas or, in some cases, return from the cities. These observations imply the necessity of measuring the rural-urban disparity in Japan as well as the need for an alternative indicator to the conventional economic tools for taking this disparity measurement. The objective of this paper is to measure rural-urban disparity with GPI based on a case study in Japan. The results of this analysis present two key findings. First, the rural-urban disparity measured by the GPI is much smaller than that measured by GDP. Second, the GPI disparity has been an increasing trend, particularly after the 2000s, due to the increased cost of climate change in rural areas. GPI can identify some strengths of rural areas that are not captured by GDP, but these advantages are cancelled out by the increasing cost of climate change. (C) 2015 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 = [1];
Q6 = [1]. | abs03013 | 10.1016/j.ecolecon.2015.11.006 | Measuring rural-urban disparity with the Genuine Progress Indicator: A case study in Japan | Japan, often regarded as one of the world's most egalitarian societies, has faced increasing rural-urban disparity since the late 1980s. However, even if the wages and income levels of rural populations are lower than those of urban residents, some people will remain in the rural areas or, in some cases, return from the cities. These observations imply the necessity of measuring the rural-urban disparity in Japan as well as the need for an alternative indicator to the conventional economic tools for taking this disparity measurement. The objective of this paper is to measure rural-urban disparity with GPI based on a case study in Japan. The results of this analysis present two key findings. First, the rural-urban disparity measured by the GPI is much smaller than that measured by GDP. Second, the GPI disparity has been an increasing trend, particularly after the 2000s, due to the increased cost of climate change in rural areas. GPI can identify some strengths of rural areas that are not captured by GDP, but these advantages are cancelled out by the increasing cost of climate change. (C) 2015 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:"Do LOOSE LIPS BRING SHIPS? The Role of Policy, Politics and Human Rights in Managing Unauthorised Boat Arrivals."
Abstract:"This article explores the phenomenon of asylum seekers and irregular migrants presenting as 'boat people'. We evaluate key aspects of policies introduced to deter and contain these people namely mandatory detention, temporary protection visas and offshore processing. Given the high rate of deaths and injuries associated with unauthorised boat arrivals, we argue that governments should do their best to discourage or prevent people from attempting to enter Australia in this way. However, the available evidence suggests that the rationale underlying deterrent policies is inherently flawed. Most have been totally ineffective in stopping unauthorised boat arrivals. History suggests that the best strategies prevent rather than deter, stopping the flow of asylum seekers at source and/or diverting desperate people away from dangerous and irregular modes of transport. We argue that no Australian government, acting alone, will be able to beat the people-smugglers now plying their trade out of Indonesia. What is needed are cooperative arrangements with 'source' or transit governments, coupled with targeted resettlement programs to provide refugees with viable protection options. We challenge claims made about the effectiveness of the Howard government's Pacific Solution and question Labor's apparent acceptance that offshore processing in 'regional' centres will stop the boats. We ask whether the Conservatives' loud and internationally publicised claims that Labor has 'gone soft' on border control represent part of the problem: 'loose lips' may indeed be bringing the ships.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs07760 | 10.1080/10383441.2010.10854676 | Do LOOSE LIPS BRING SHIPS? The Role of Policy, Politics and Human Rights in Managing Unauthorised Boat Arrivals | This article explores the phenomenon of asylum seekers and irregular migrants presenting as 'boat people'. We evaluate key aspects of policies introduced to deter and contain these people namely mandatory detention, temporary protection visas and offshore processing. Given the high rate of deaths and injuries associated with unauthorised boat arrivals, we argue that governments should do their best to discourage or prevent people from attempting to enter Australia in this way. However, the available evidence suggests that the rationale underlying deterrent policies is inherently flawed. Most have been totally ineffective in stopping unauthorised boat arrivals. History suggests that the best strategies prevent rather than deter, stopping the flow of asylum seekers at source and/or diverting desperate people away from dangerous and irregular modes of transport. We argue that no Australian government, acting alone, will be able to beat the people-smugglers now plying their trade out of Indonesia. What is needed are cooperative arrangements with 'source' or transit governments, coupled with targeted resettlement programs to provide refugees with viable protection options. We challenge claims made about the effectiveness of the Howard government's Pacific Solution and question Labor's apparent acceptance that offshore processing in 'regional' centres will stop the boats. We ask whether the Conservatives' loud and internationally publicised claims that Labor has 'gone soft' on border control represent part of the problem: 'loose lips' may indeed be bringing the ships. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Old and Dangerous: Bordering Older Migrants' Mobilities, Rejuvenating the Post-Welfare State."
Abstract:"Caught in the cross-hairs of perceived crises of aging populations, increasing migration flows, and social welfare sustainability, older migrants are often not welcome in post-welfare states. Employing a feminist border analysis, Canada's relatively generous immigration policies on parent and grandparent entry are analyzed to show the ways in which older people's mobilities are bordered, who is most affected, and why this bordering is worthy of attention. We show links between these policies and Canada's national rejuvenation project that aims to externalize and privatize both the costs and labor of social reproduction, limiting state contributions.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs18966 | 10.1093/sp/jxz028 | Old and Dangerous: Bordering Older Migrants' Mobilities, Rejuvenating the Post-Welfare State | Caught in the cross-hairs of perceived crises of aging populations, increasing migration flows, and social welfare sustainability, older migrants are often not welcome in post-welfare states. Employing a feminist border analysis, Canada's relatively generous immigration policies on parent and grandparent entry are analyzed to show the ways in which older people's mobilities are bordered, who is most affected, and why this bordering is worthy of attention. We show links between these policies and Canada's national rejuvenation project that aims to externalize and privatize both the costs and labor of social reproduction, limiting state contributions. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Ethnic identity on display: West Indian youth and the creation of ethnic boundaries in high school."
Abstract:"The black immigrant population in New York City has grown exponentially since 1990, such that West Indians now compose the majority of the black population in several neighbourhoods. This article examines how this ethnic density manifests among youth in high school, and how it has influenced ethnic identity formation among second-generation West Indians. My findings are based on twenty-four interviews and eight months of participant observation in two Brooklyn high schools from 2003 to 2004. The results show that in both schools, Caribbean island identities have become a 'cool' commodity within peer groups. Further, although it was important to express pride in one's island identity, these young people often blurred their national origin boundaries by drawing on Jamaican popular culture as way of projecting a unified 'West Indian identity'. The research also uncovers evidence of a de-stigmatization of Haitianness as a way to incorporate them as cultural insiders into the larger Caribbean collective.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs03359 | 10.1080/01419870.2012.748212 | Ethnic identity on display: West Indian youth and the creation of ethnic boundaries in high school | The black immigrant population in New York City has grown exponentially since 1990, such that West Indians now compose the majority of the black population in several neighbourhoods. This article examines how this ethnic density manifests among youth in high school, and how it has influenced ethnic identity formation among second-generation West Indians. My findings are based on twenty-four interviews and eight months of participant observation in two Brooklyn high schools from 2003 to 2004. The results show that in both schools, Caribbean island identities have become a 'cool' commodity within peer groups. Further, although it was important to express pride in one's island identity, these young people often blurred their national origin boundaries by drawing on Jamaican popular culture as way of projecting a unified 'West Indian identity'. The research also uncovers evidence of a de-stigmatization of Haitianness as a way to incorporate them as cultural insiders into the larger Caribbean collective. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Mining periodic patterns and cascading bursts phenomenon in individual e-mail communication."
Abstract:"Quantitative understanding of human activity is very important as many social and economic trends are driven by human actions. We propose a novel stochastic process, the Multi-state Markov Cascading Non-homogeneous Poisson Process (M2CNPP), to analyze human e-mail communication involving both periodic patterns and bursts phenomenon. The model parameters are estimated using the Generalized Expectation Maximization (GEM) algorithm while the hidden states are treated as missing values. The empirical results demonstrate that the proposed model adequately captures the major temporal cascading features as well as the periodic patterns in e-mail communication.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [1]. | abs10061 | 10.1080/02664763.2019.1605340 | Mining periodic patterns and cascading bursts phenomenon in individual e-mail communication | Quantitative understanding of human activity is very important as many social and economic trends are driven by human actions. We propose a novel stochastic process, the Multi-state Markov Cascading Non-homogeneous Poisson Process (M2CNPP), to analyze human e-mail communication involving both periodic patterns and bursts phenomenon. The model parameters are estimated using the Generalized Expectation Maximization (GEM) algorithm while the hidden states are treated as missing values. The empirical results demonstrate that the proposed model adequately captures the major temporal cascading features as well as the periodic patterns in e-mail communication. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Human migration, climate variability, and land degradation: hotspots of socio-ecological pressure in Ethiopia."
Abstract:"In Ethiopia, human migration is known to be influenced by environmental change-and vice versa. Thus, degradation of environmental conditions can contribute to out-migration, and in-migration can cause environmental changes at the immigrants' destination. The aim of our study was to systematically identify regions in which socio-ecological pressures can arise from high population densities, migration, land degradation, and/or rainfall variability. We combined population census data at the district level with high-resolution remote sensing data regarding rainfall variability, land degradation, and land cover. We identified districts in which high population density is coupled with both a steep decline in net primary production (NPP) and large precipitation variability. The affected regions are mainly cropping regions located in the northern highlands and in the central part of the Great Rift Valley. We consider these regions to be particularly prone to environmental changes; moreover, high population density places additional stress on local natural resources. Next, we identified districts in which high in-migration is coupled with both a strong decline in NPP and low rainfall variability, proposing that land degradation in these regions is likely to have resulted from human activity rather than climatic factors. The affected regions include parts of the Awash Valley, regions surrounding Lake Tana, and the mountainous regions between Addis Ababa, Bedele, and Jima. We found these hotspots of in-migration and land degradation are dominantly grasslands regions, which have been characterized by significant cropland expansion during the period studied. Whereas exploring causal relationships between migration, environmental change, and land cover change is beyond the scope of our study, we have pinpointed regions where these processes coincide. Our findings suggest that at the regional scale, deteriorating environmental conditions can be both the cause and the effect of 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];
Q5 = [];
Q6 = [1]. | abs22114 | 10.1007/s10113-017-1108-6 | Human migration, climate variability, and land degradation: hotspots of socio-ecological pressure in Ethiopia | In Ethiopia, human migration is known to be influenced by environmental change-and vice versa. Thus, degradation of environmental conditions can contribute to out-migration, and in-migration can cause environmental changes at the immigrants' destination. The aim of our study was to systematically identify regions in which socio-ecological pressures can arise from high population densities, migration, land degradation, and/or rainfall variability. We combined population census data at the district level with high-resolution remote sensing data regarding rainfall variability, land degradation, and land cover. We identified districts in which high population density is coupled with both a steep decline in net primary production (NPP) and large precipitation variability. The affected regions are mainly cropping regions located in the northern highlands and in the central part of the Great Rift Valley. We consider these regions to be particularly prone to environmental changes; moreover, high population density places additional stress on local natural resources. Next, we identified districts in which high in-migration is coupled with both a strong decline in NPP and low rainfall variability, proposing that land degradation in these regions is likely to have resulted from human activity rather than climatic factors. The affected regions include parts of the Awash Valley, regions surrounding Lake Tana, and the mountainous regions between Addis Ababa, Bedele, and Jima. We found these hotspots of in-migration and land degradation are dominantly grasslands regions, which have been characterized by significant cropland expansion during the period studied. Whereas exploring causal relationships between migration, environmental change, and land cover change is beyond the scope of our study, we have pinpointed regions where these processes coincide. Our findings suggest that at the regional scale, deteriorating environmental conditions can be both the cause and the effect of 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:"Mobility and migration in late Iron Age and early Medieval Ireland."
Abstract:"Strontium and oxygen isotope analysis has been performed on a selection of human teeth dating from late Iron Age and early Medieval Ireland to test the hypothesis that the appearance of new burial rites was associated with phases of migration from, and contact with, the Roman and Late Antique world. In particular, the appearance of crouched inhumations from the beginning of the 1st century CE, and the appearance of extended supine inhumations alongside the reappearance of crouched burials after the c. 4th century CE are investigated. Isotopic data favours the presence of non-local individuals during both periods. As parallels for virtually all of these new burial practices can be found elsewhere, for example throughout Iron Age and Roman Britain, the data are seen to support previously proposed theories that such burial practices were intrusive and reflected new rites associated with migrant peoples. This adds to the increasing body of evidence demonstrating that rather than being isolated, Ireland was very much part of a connected Europe throughout the entire period of Roman administration in the western provinces, and in the centuries after its demise. (C) 2016 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 = [2];
Q4 = [0];
Q5 = [0];
Q6 = [1]. | abs20352 | 10.1016/j.jasrep.2016.02.016 | Mobility and migration in late Iron Age and early Medieval Ireland | Strontium and oxygen isotope analysis has been performed on a selection of human teeth dating from late Iron Age and early Medieval Ireland to test the hypothesis that the appearance of new burial rites was associated with phases of migration from, and contact with, the Roman and Late Antique world. In particular, the appearance of crouched inhumations from the beginning of the 1st century CE, and the appearance of extended supine inhumations alongside the reappearance of crouched burials after the c. 4th century CE are investigated. Isotopic data favours the presence of non-local individuals during both periods. As parallels for virtually all of these new burial practices can be found elsewhere, for example throughout Iron Age and Roman Britain, the data are seen to support previously proposed theories that such burial practices were intrusive and reflected new rites associated with migrant peoples. This adds to the increasing body of evidence demonstrating that rather than being isolated, Ireland was very much part of a connected Europe throughout the entire period of Roman administration in the western provinces, and in the centuries after its demise. (C) 2016 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:"Troubling constructions of Canada as a land of opportunity' for immigrants: a critical disability lens."
Abstract:"This article presents the findings of a critical discourse analysis study of the constructions of people with disabilities within the Canadian immigration system and how this shapes the immigration experiences of people with disabilities, especially those from countries in the Global South. Findings suggest that dominant discourses of opportunities not only construct Canada as a land of dreams' for immigrants and newcomers but are also used to hide, justify, normalize and facilitate the operation of ableist, racist and colonial discourses that immigrants and newcomers with disabilities experience during their immigration. Recommendations for settlement workers involved in facilitating the settlement and integration process for immigrants and newcomers with disabilities are also presented. The article concludes by emphasizing the actual and potential contributions of postcolonial and critical disability lenses for a social justice-oriented practice at the intersection of disability and immigration.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [6];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [0]. | abs07414 | 10.1080/09687599.2016.1200460 | Troubling constructions of Canada as a land of opportunity' for immigrants: a critical disability lens | This article presents the findings of a critical discourse analysis study of the constructions of people with disabilities within the Canadian immigration system and how this shapes the immigration experiences of people with disabilities, especially those from countries in the Global South. Findings suggest that dominant discourses of opportunities not only construct Canada as a land of dreams' for immigrants and newcomers but are also used to hide, justify, normalize and facilitate the operation of ableist, racist and colonial discourses that immigrants and newcomers with disabilities experience during their immigration. Recommendations for settlement workers involved in facilitating the settlement and integration process for immigrants and newcomers with disabilities are also presented. The article concludes by emphasizing the actual and potential contributions of postcolonial and critical disability lenses for a social justice-oriented practice at the intersection of disability and immigration. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Evolution of an invasive rodent on an archipelago as revealed by molar shape analysis: the house mouse in the Canary Islands."
Abstract:"Aim The aim of this paper is to identify the patterns in the morphological differentiation in Canary Island mice, based on fossil and modern samples. In order to achieve this, the mouse species present on the archipelago were first compared with a set of continental mice. The differences between the continental and Canary Island samples, and among the Canary Island samples, provide insights into the processes of colonization and the subsequent insular evolution. Location Canary archipelago. Methods An outline analysis based on Fourier transformation was used to quantify shape differences between lower molars. Together with the fossil and modern Canary Island samples, a reference set of genotyped continental populations of the commensal Mus musculus and the wild Mus spretus was used for comparison. Results The morphometric analysis showed that all the mouse specimens from the Canary Islands and Cape Verde belonged to Mus musculus domesticus. Lower molars of extant mice from La Gomera, El Hierro, Gran Canaria, Tenerife, and to a lesser degree from Lanzarote, were similar to those of genotyped M. m. domesticus from the continent, while teeth of extant mice from Fuerteventura were more divergent. Fossil mice from Fuerteventura were very similar to the extant representatives on this island, and similar to the fossil mice on the nearby islands of Lobos and La Graciosa. Main conclusions The mouse present on the Canary archipelago has been identified as the house mouse M. m. domesticus. Based on the shape of the lower molar, the Canary Island mice are divergent from the continental ones, but the degree of divergence varies with the geography of the archipelago. Overall, populations from eastern islands are more divergent from the continental mice than populations from western ones. Fossil populations indicate that this situation was established several centuries ago. Two main factors may have contributed to this pattern: the appearance of different types of environment on the islands since the successful settlement of the mouse, and/or the number of subsequent introductions of continental individuals via shipping.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs10113 | 10.1111/j.1365-2699.2007.01701.x | Evolution of an invasive rodent on an archipelago as revealed by molar shape analysis: the house mouse in the Canary Islands | Aim The aim of this paper is to identify the patterns in the morphological differentiation in Canary Island mice, based on fossil and modern samples. In order to achieve this, the mouse species present on the archipelago were first compared with a set of continental mice. The differences between the continental and Canary Island samples, and among the Canary Island samples, provide insights into the processes of colonization and the subsequent insular evolution. Location Canary archipelago. Methods An outline analysis based on Fourier transformation was used to quantify shape differences between lower molars. Together with the fossil and modern Canary Island samples, a reference set of genotyped continental populations of the commensal Mus musculus and the wild Mus spretus was used for comparison. Results The morphometric analysis showed that all the mouse specimens from the Canary Islands and Cape Verde belonged to Mus musculus domesticus. Lower molars of extant mice from La Gomera, El Hierro, Gran Canaria, Tenerife, and to a lesser degree from Lanzarote, were similar to those of genotyped M. m. domesticus from the continent, while teeth of extant mice from Fuerteventura were more divergent. Fossil mice from Fuerteventura were very similar to the extant representatives on this island, and similar to the fossil mice on the nearby islands of Lobos and La Graciosa. Main conclusions The mouse present on the Canary archipelago has been identified as the house mouse M. m. domesticus. Based on the shape of the lower molar, the Canary Island mice are divergent from the continental ones, but the degree of divergence varies with the geography of the archipelago. Overall, populations from eastern islands are more divergent from the continental mice than populations from western ones. Fossil populations indicate that this situation was established several centuries ago. Two main factors may have contributed to this pattern: the appearance of different types of environment on the islands since the successful settlement of the mouse, and/or the number of subsequent introductions of continental individuals via shipping. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 pandemic vaccine development, production and distribution challenges for the world population."
Abstract:"BACKGROUND: The new type of virus (SARS-CoV-2 or COVID-19) from Coronaviridae family, discovered in 2019, caused a global pandemic with several massive lock-downs around the globe. Science and politicians became the center of world attention, receiving many questions without having clear answers. The hopes of many rested on vaccine development, which was done fast, facing novel challenges such as the massive production and distribution for several billions of people. OBJECTIVE: In this paper, the global reaction to the pandemic is reviewed along with some critical comments. METHOD: Different groups, including nations, took part in global lockdowns, while vaccine development was running in parallel without having enough capacity for some of the biggest medical demands in history. This review will bring together views from all interested groups in this pandemic crisis. RESULTS: The Western world waited too long (4 months), after the first case was confirmed in China, to introduce lock-down and safety measures. On the other side, vaccine development was done too fast to give clear long-term safety profiles of the medications developed. Due to the focus on development, it was overlooked that production and distribution of sterile products such as vaccines might have limitations globally. Usually when such limitations occur, power comes to the surface. Therefore, buyers who had power will get the vaccines they need first. However, we should recognize the economic impact that directly influenced healthcare funding. All of this will lead to post-crisis challenges, including depression, violence, suicide, migration, and many other social problems. CONCLUSIONS: The COVID-19 pandemic is a test for all of us, which many governments, industries and non-state actors are failing. It is a perfect general probe to detect some of the weaknesses of the current structure of global health. If politics and science do not work together to make a global production plan for vaccines and learn from this pandemic, then all of the lives lost were for nothing.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs00753 | 10.3233/JRS-227019 | Global pandemic vaccine development, production and distribution challenges for the world population | BACKGROUND: The new type of virus (SARS-CoV-2 or COVID-19) from Coronaviridae family, discovered in 2019, caused a global pandemic with several massive lock-downs around the globe. Science and politicians became the center of world attention, receiving many questions without having clear answers. The hopes of many rested on vaccine development, which was done fast, facing novel challenges such as the massive production and distribution for several billions of people. OBJECTIVE: In this paper, the global reaction to the pandemic is reviewed along with some critical comments. METHOD: Different groups, including nations, took part in global lockdowns, while vaccine development was running in parallel without having enough capacity for some of the biggest medical demands in history. This review will bring together views from all interested groups in this pandemic crisis. RESULTS: The Western world waited too long (4 months), after the first case was confirmed in China, to introduce lock-down and safety measures. On the other side, vaccine development was done too fast to give clear long-term safety profiles of the medications developed. Due to the focus on development, it was overlooked that production and distribution of sterile products such as vaccines might have limitations globally. Usually when such limitations occur, power comes to the surface. Therefore, buyers who had power will get the vaccines they need first. However, we should recognize the economic impact that directly influenced healthcare funding. All of this will lead to post-crisis challenges, including depression, violence, suicide, migration, and many other social problems. CONCLUSIONS: The COVID-19 pandemic is a test for all of us, which many governments, industries and non-state actors are failing. It is a perfect general probe to detect some of the weaknesses of the current structure of global health. If politics and science do not work together to make a global production plan for vaccines and learn from this pandemic, then all of the lives lost were for nothing. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Research and recovery: Can patient participation in research promote recovery for people with complex post-traumatic stress disorder, CPTSD?."
Abstract:"Background A new diagnosis of complex post-traumatic stress disorder, CPTSD, has been agreed by the World Health Organization, WHO, and evidence is needed for what psychological treatment might be effective, particularly from those with experience of the disorder. We used a novel participatory approach to explore patient views and simultaneously studied the impact on the patient researchers of the research process itself. In this paper, we report on the latter section of the study how the involvement in research of patients with CPTSD affected their mental health. Symptoms of CPTSD may include emotional dysregulation, feelings of self-worthlessness and difficulties in relationships. Objective The aim of this study section was to explore whether patients' mental health could be promoted through empowering them to participate in research on CPTSD. Design The study had a qualitative, participatory design. The clinician who led the research (first author) held group meetings with patient researchers to explore the impact of the research process. The clinician also kept notes on the process in a reflective log. Setting and participants Six patient researchers participated in research with other patients with lived experience of CPTSD in an NHS outpatient unit in a London hospital. Intervention studied The research process itself was analysed in group meetings with researchers which the clinician recorded and transcribed. Findings Participation in research may promote increased self-confidence and social inclusion for those with CPTSD. Conclusion Involvement in research may be seen as an empowering intervention because patients felt it contributed to recovery.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [0]. | abs12069 | 10.1111/hex.13014 | Research and recovery: Can patient participation in research promote recovery for people with complex post-traumatic stress disorder, CPTSD? | Background A new diagnosis of complex post-traumatic stress disorder, CPTSD, has been agreed by the World Health Organization, WHO, and evidence is needed for what psychological treatment might be effective, particularly from those with experience of the disorder. We used a novel participatory approach to explore patient views and simultaneously studied the impact on the patient researchers of the research process itself. In this paper, we report on the latter section of the study how the involvement in research of patients with CPTSD affected their mental health. Symptoms of CPTSD may include emotional dysregulation, feelings of self-worthlessness and difficulties in relationships. Objective The aim of this study section was to explore whether patients' mental health could be promoted through empowering them to participate in research on CPTSD. Design The study had a qualitative, participatory design. The clinician who led the research (first author) held group meetings with patient researchers to explore the impact of the research process. The clinician also kept notes on the process in a reflective log. Setting and participants Six patient researchers participated in research with other patients with lived experience of CPTSD in an NHS outpatient unit in a London hospital. Intervention studied The research process itself was analysed in group meetings with researchers which the clinician recorded and transcribed. Findings Participation in research may promote increased self-confidence and social inclusion for those with CPTSD. Conclusion Involvement in research may be seen as an empowering intervention because patients felt it contributed to recovery. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Residential mobility in divided societies: How individual religion and geographical context influenced housing moves in Northern Ireland 2001-2011."
Abstract:"Residential segregation is pervasive in many societies. People making residential moves in these divided contexts may increase or decrease segregation levels. In this paper, the divided society of Northern Ireland is used as an example to explore how residential mobility relates to residential segregation by religion. Survey evidence for this country consistently shows a preference for mixed neighbourhoods, yet actual patterns of geographical mobility suggest people move to same-religion areas. The paper uses the Northern Ireland Longitudinal Study (NILS) to explore the individual and contextual factors that influence the destinations of internal migrants by religion between 2001 and 2011. How they move up or down the contextual 'religion ladder' of localities is modelled with reference to both their individual socio-demographic and neighbourhood characteristics in 2001. It is found that there are still individual religious differentials in people's destinations. Catholics, for instance, are more likely than Protestants to move to more Catholic areas, suggesting that individual religion remains important despite the Peace Process. Some possible reasons for this are considered with a partial explanation being found in the geographical patterning of the population. Existing patterns of residential segregation constrain moves in religious space for the majority of people. It is concluded, nevertheless, that an individual's religion remains a considerable factor contrary to expectations.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs01460 | 10.1002/psp.2387 | Residential mobility in divided societies: How individual religion and geographical context influenced housing moves in Northern Ireland 2001-2011 | Residential segregation is pervasive in many societies. People making residential moves in these divided contexts may increase or decrease segregation levels. In this paper, the divided society of Northern Ireland is used as an example to explore how residential mobility relates to residential segregation by religion. Survey evidence for this country consistently shows a preference for mixed neighbourhoods, yet actual patterns of geographical mobility suggest people move to same-religion areas. The paper uses the Northern Ireland Longitudinal Study (NILS) to explore the individual and contextual factors that influence the destinations of internal migrants by religion between 2001 and 2011. How they move up or down the contextual 'religion ladder' of localities is modelled with reference to both their individual socio-demographic and neighbourhood characteristics in 2001. It is found that there are still individual religious differentials in people's destinations. Catholics, for instance, are more likely than Protestants to move to more Catholic areas, suggesting that individual religion remains important despite the Peace Process. Some possible reasons for this are considered with a partial explanation being found in the geographical patterning of the population. Existing patterns of residential segregation constrain moves in religious space for the majority of people. It is concluded, nevertheless, that an individual's religion remains a considerable factor contrary to expectations. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Psychosocial peer mediation as sustainable method for conflict prevention and management among refugee communities in Germany."
Abstract:"Following the arrival of over 1.2 million refugees and asylum seekers since the 2015 European refugee crisis, Germany has faced enormous humanitarian and societal challenges, with direct implications for participatory peace-building efforts at the local community level. A multitude of postmigration stressors and high prevalence of mental health conditions among refugees contribute to the substantial burden of daily conflicts in refugee shelters and communities. Ongoing exposure to a conflict-prone environment, psychological distress and stigmatization among community members can severely impair the quality of life and aggravate existing health-related, socio-economic and integrational challenges. Previous research has demonstrated the feasibility of individual alternative dispute resolution (ADR) and mental health literacy (MHL) interventions in refugee settings. As interpersonal conflict and psychological well-being constitute mutually interdependent phenomena, integrated methodologies combining ADR with MHL may offer unique value to affected vulnerable populations. However, systemic implementation of such mechanisms in refugee shelters has remained largely unexplored. In recognition of this unmet need and as part of the nonprofit organization R3SOLUTE, we have developed a tailored educational curriculum directed at equipping refugees in shelters and their local neighbor citizens with peer mediation-based ADR and MHL skills. In this multidisciplinary bottom-up approach, termed psychosocial peer mediation (PPM), participants learn to effectively manage and prevent conflicts in their own communities. Based on our field experience with implementing PPM in numerous refugee shelters across Germany between 2018 and 2021, we here provide relevant practical insights and discuss best practices, with a focus on addressing existing challenges and opportunities in the field.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs05709 | 10.1002/crq.21322 | Psychosocial peer mediation as sustainable method for conflict prevention and management among refugee communities in Germany | Following the arrival of over 1.2 million refugees and asylum seekers since the 2015 European refugee crisis, Germany has faced enormous humanitarian and societal challenges, with direct implications for participatory peace-building efforts at the local community level. A multitude of postmigration stressors and high prevalence of mental health conditions among refugees contribute to the substantial burden of daily conflicts in refugee shelters and communities. Ongoing exposure to a conflict-prone environment, psychological distress and stigmatization among community members can severely impair the quality of life and aggravate existing health-related, socio-economic and integrational challenges. Previous research has demonstrated the feasibility of individual alternative dispute resolution (ADR) and mental health literacy (MHL) interventions in refugee settings. As interpersonal conflict and psychological well-being constitute mutually interdependent phenomena, integrated methodologies combining ADR with MHL may offer unique value to affected vulnerable populations. However, systemic implementation of such mechanisms in refugee shelters has remained largely unexplored. In recognition of this unmet need and as part of the nonprofit organization R3SOLUTE, we have developed a tailored educational curriculum directed at equipping refugees in shelters and their local neighbor citizens with peer mediation-based ADR and MHL skills. In this multidisciplinary bottom-up approach, termed psychosocial peer mediation (PPM), participants learn to effectively manage and prevent conflicts in their own communities. Based on our field experience with implementing PPM in numerous refugee shelters across Germany between 2018 and 2021, we here provide relevant practical insights and discuss best practices, with a focus on addressing existing challenges and opportunities in the field. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Antioxidant, Cytotoxic, and Antibacterial Activities of the Selected Tibetan Formulations Used in Gandaki Province, Nepal."
Abstract:"Background and Objective. Tibetan medicine is one of the earliest-known traditional medicines. This study aimed to evaluate the antioxidant, cytotoxic, and antibacterial potential of ethanolic extracts of nine common Tibetan formulations. Materials and Methods. An open-ended and semistructured questionnaire was used for an ethnomedicinal survey of the Tibetan formulations practiced in four Tibetan refugee settlements in Gandaki Province, Nepal. Based on the ethnomedicinal survey data, commonly used nine formulations were selected (Aru-18, Basam, Dadue, Dashel, Mutik-25, Raab Ga Yangzin Tea, Serdok-11, Sugmel-10, and Yungwa-4) to test biological activities. Antioxidant activity was evaluated using the 2,2-diphenyl-1-picryl-hydrazyl (DPPH) radical scavenging method. The cytotoxicity was examined by using the Allium cepa L. root tip meristem model. Similarly, the antibacterial effect was assessed by using well diffusion and broth dilution methods. Results. An ethnomedicinal survey showed a total of 52 Tibetan formulations were generally used by respondents for common diseases such as stomach disorders, diabetes, and migraine. From the antioxidant activity test, Sugmel-10 showed the highest DPPH free-radical-scavenging activity (IC50 1.8 mu g/ml) and Yungwa-4 showed the lowest activity (IC50 5.2 mu g/ml). Also, from the cytotoxic activity, the A. cepa root meristem model exhibited significant dose- and time-dependent growth suppression in Basam, Dadue, Mutik-25, and Serdok-11 as compared with cyclophosphamide standard drug. Similarly, Basam showed a good antibacterial effect having MIC 20 mg/ml and MBC 100 mg/ml against Enterococci faecalis. Conclusion. Research showed that Tibetan people preferred Tibetan formulations for the treatment and mitigation of several diseases. The result of antioxidant, cytotoxic, and antibacterial activities experimentally justified the ethnomedicinal value of nine common formulations (Aru-18, Basam, Dadue, Dashel, Mutik-25, Raab Ga Yangzin Tea, Serdok-11, Sugmel-10, and Yungwa-4). To the best of our knowledge, this study was performed for the first time in Nepal. Results from this preliminary study open the door to the scientific world to perform extensive pharmacological studies for designing and developing new therapeutic agents.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs09814 | 10.1155/2021/5563360 | Antioxidant, Cytotoxic, and Antibacterial Activities of the Selected Tibetan Formulations Used in Gandaki Province, Nepal | Background and Objective. Tibetan medicine is one of the earliest-known traditional medicines. This study aimed to evaluate the antioxidant, cytotoxic, and antibacterial potential of ethanolic extracts of nine common Tibetan formulations. Materials and Methods. An open-ended and semistructured questionnaire was used for an ethnomedicinal survey of the Tibetan formulations practiced in four Tibetan refugee settlements in Gandaki Province, Nepal. Based on the ethnomedicinal survey data, commonly used nine formulations were selected (Aru-18, Basam, Dadue, Dashel, Mutik-25, Raab Ga Yangzin Tea, Serdok-11, Sugmel-10, and Yungwa-4) to test biological activities. Antioxidant activity was evaluated using the 2,2-diphenyl-1-picryl-hydrazyl (DPPH) radical scavenging method. The cytotoxicity was examined by using the Allium cepa L. root tip meristem model. Similarly, the antibacterial effect was assessed by using well diffusion and broth dilution methods. Results. An ethnomedicinal survey showed a total of 52 Tibetan formulations were generally used by respondents for common diseases such as stomach disorders, diabetes, and migraine. From the antioxidant activity test, Sugmel-10 showed the highest DPPH free-radical-scavenging activity (IC50 1.8 mu g/ml) and Yungwa-4 showed the lowest activity (IC50 5.2 mu g/ml). Also, from the cytotoxic activity, the A. cepa root meristem model exhibited significant dose- and time-dependent growth suppression in Basam, Dadue, Mutik-25, and Serdok-11 as compared with cyclophosphamide standard drug. Similarly, Basam showed a good antibacterial effect having MIC 20 mg/ml and MBC 100 mg/ml against Enterococci faecalis. Conclusion. Research showed that Tibetan people preferred Tibetan formulations for the treatment and mitigation of several diseases. The result of antioxidant, cytotoxic, and antibacterial activities experimentally justified the ethnomedicinal value of nine common formulations (Aru-18, Basam, Dadue, Dashel, Mutik-25, Raab Ga Yangzin Tea, Serdok-11, Sugmel-10, and Yungwa-4). To the best of our knowledge, this study was performed for the first time in Nepal. Results from this preliminary study open the door to the scientific world to perform extensive pharmacological studies for designing and developing new therapeutic agents. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Unwelcome Participation, Undesirable Agency? Paradoxes of De-Politicisation in a Refugee Camp."
Abstract:"Drawing upon a chronological review of the camp's political history, this article investigates the political dynamics inside a Liberian refugee camp, with a particular emphasis on the rivalry between the official refugee representation and informal opposition groups. Refugee-governing bodies often actively discourage political activity within refugee camps, perceiving it as a source of trouble. The de-politicisation of refugees, however, contradicts efforts to advance refugees' agency and their participation both of which are widely acknowledged and promoted by refugee policy-makers and researchers. Although the formal system of refugee representation in Buduburam camp was allegedly democratic, in reality the camp leadership consisted primarily of elite Liberians who were selected by the Ghanaian administration. Despite attempts by authorities to ban political activities inside the camp, opposition groups by ordinary refugees emerged and organised antagonistic movements against the camp authorities and refugee representatives. Nevertheless, their political activism was seen as problematic by some stakeholders and was criminalised by the Ghanaian Government. This article illuminates the inherent contradictions involved in the de-politicisation of refugee populations by the humanitarian regime, and argues that refugees' political activities should be understood as an expression of agency and desire for authentic participation.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [5];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs13460 | 10.1093/rsq/hdx009 | Unwelcome Participation, Undesirable Agency? Paradoxes of De-Politicisation in a Refugee Camp | Drawing upon a chronological review of the camp's political history, this article investigates the political dynamics inside a Liberian refugee camp, with a particular emphasis on the rivalry between the official refugee representation and informal opposition groups. Refugee-governing bodies often actively discourage political activity within refugee camps, perceiving it as a source of trouble. The de-politicisation of refugees, however, contradicts efforts to advance refugees' agency and their participation both of which are widely acknowledged and promoted by refugee policy-makers and researchers. Although the formal system of refugee representation in Buduburam camp was allegedly democratic, in reality the camp leadership consisted primarily of elite Liberians who were selected by the Ghanaian administration. Despite attempts by authorities to ban political activities inside the camp, opposition groups by ordinary refugees emerged and organised antagonistic movements against the camp authorities and refugee representatives. Nevertheless, their political activism was seen as problematic by some stakeholders and was criminalised by the Ghanaian Government. This article illuminates the inherent contradictions involved in the de-politicisation of refugee populations by the humanitarian regime, and argues that refugees' political activities should be understood as an expression of agency and desire for authentic participation. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"A Spatio-Temporal Entropy-based Framework for the Detection of Trajectories Similarity."
Abstract:"The rapid proliferation of sensors and big data repositories offer many new opportunities for data science. Among many application domains, the analysis of large trajectory datasets generated from people's movements at the city scale is one of the most promising research avenues still to explore. Extracting trajectory patterns and outliers in urban environments is a direction still requiring exploration for many management and planning tasks. The research developed in this paper introduces a spatio-temporal framework, so-called STE-SD (Spatio-Temporal Entropy for Similarity Detection), based on the initial concept of entropy as introduced by Shannon in his seminal theory of information and as recently extended to the spatial and temporal dimensions. Our approach considers several complementary trajectory descriptors whose distribution in space and time are quantitatively evaluated. The trajectory primitives considered include curvatures, stop-points, self-intersections and velocities. These primitives are identified and then qualified using the notion of entropy as applied to the spatial and temporal dimensions. The whole approach is experimented and applied to urban trajectories derived from the Geolife dataset, a reference data benchmark available in the city of Beijing.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs13895 | 10.3390/e20070490 | A Spatio-Temporal Entropy-based Framework for the Detection of Trajectories Similarity | The rapid proliferation of sensors and big data repositories offer many new opportunities for data science. Among many application domains, the analysis of large trajectory datasets generated from people's movements at the city scale is one of the most promising research avenues still to explore. Extracting trajectory patterns and outliers in urban environments is a direction still requiring exploration for many management and planning tasks. The research developed in this paper introduces a spatio-temporal framework, so-called STE-SD (Spatio-Temporal Entropy for Similarity Detection), based on the initial concept of entropy as introduced by Shannon in his seminal theory of information and as recently extended to the spatial and temporal dimensions. Our approach considers several complementary trajectory descriptors whose distribution in space and time are quantitatively evaluated. The trajectory primitives considered include curvatures, stop-points, self-intersections and velocities. These primitives are identified and then qualified using the notion of entropy as applied to the spatial and temporal dimensions. The whole approach is experimented and applied to urban trajectories derived from the Geolife dataset, a reference data benchmark available in the city of Beijing. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 cross-sectional study of COVID-19 impacts in culturally and linguistically diverse communities in greater Western Sydney, Australia."
Abstract:"Background: This study explored the experiences of people from culturally and linguistically diverse (CALD) backgrounds in Greater Western Sydney, Australia, in selected livelihood items during COVID-19 and the perceived impacts of the pandemic on their lives. Methods: A cross-sectional survey was used to collect data between 25 August and 30 September 2020 among CALD communities in Greater Western Sydney. Information was collected on respondents' experiences in selected livelihood items, including housing, finances, safety, accessing social services and activities, finding work, food, clothing, and relationships during COVID-19 and the pandemic's perceived impact on their lives. Descriptive and non-parametric statistics were used to analyze the data. Results: One hundred and ninety-eight participants were included in the study, 45.5% male and 54.5% female. Many respondents reported their experience in the selected livelihood items as worse during COVID-19 at the time of the study. The feeling of safety was most disrupted, with 56% of respondents rating their experience as worse. This experience was followed by accessing social support group activities, with 50% of respondents stating their experience of using this service had worsened. The experience of accessing social services and financial situation was rated as worse by 41% of respondents. Experience in finding work, housing, and attending schools were all rated as worse. The median perceived impact of COVID-19 among respondents who rated their experience in the selected livelihood items as worse were statistically higher than those who rated their experience as the same. Respondents' characteristics also predicted the perceived impact of COVID-19. Unemployed respondents were 3.53 (95% CI: 1.16-10.73, p = 0.026) times more likely to perceive the impact of COVID-19 on their lives as high compared to employed respondents. Conclusions: The finding demonstrates that the high number of respondents had the same situation as before COVID-19 and highlights the level of resilience exhibited by CALD communities in the Australian context. It also suggests that services in Australia were good during the pandemic. However, enhanced policy and initiatives designed to meet the CALD population's needs are required, particularly in the areas most reported to have been disrupted by changes associated with COVID-19.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs21146 | 10.1186/s12889-021-12172-y | A cross-sectional study of COVID-19 impacts in culturally and linguistically diverse communities in greater Western Sydney, Australia | Background: This study explored the experiences of people from culturally and linguistically diverse (CALD) backgrounds in Greater Western Sydney, Australia, in selected livelihood items during COVID-19 and the perceived impacts of the pandemic on their lives. Methods: A cross-sectional survey was used to collect data between 25 August and 30 September 2020 among CALD communities in Greater Western Sydney. Information was collected on respondents' experiences in selected livelihood items, including housing, finances, safety, accessing social services and activities, finding work, food, clothing, and relationships during COVID-19 and the pandemic's perceived impact on their lives. Descriptive and non-parametric statistics were used to analyze the data. Results: One hundred and ninety-eight participants were included in the study, 45.5% male and 54.5% female. Many respondents reported their experience in the selected livelihood items as worse during COVID-19 at the time of the study. The feeling of safety was most disrupted, with 56% of respondents rating their experience as worse. This experience was followed by accessing social support group activities, with 50% of respondents stating their experience of using this service had worsened. The experience of accessing social services and financial situation was rated as worse by 41% of respondents. Experience in finding work, housing, and attending schools were all rated as worse. The median perceived impact of COVID-19 among respondents who rated their experience in the selected livelihood items as worse were statistically higher than those who rated their experience as the same. Respondents' characteristics also predicted the perceived impact of COVID-19. Unemployed respondents were 3.53 (95% CI: 1.16-10.73, p = 0.026) times more likely to perceive the impact of COVID-19 on their lives as high compared to employed respondents. Conclusions: The finding demonstrates that the high number of respondents had the same situation as before COVID-19 and highlights the level of resilience exhibited by CALD communities in the Australian context. It also suggests that services in Australia were good during the pandemic. However, enhanced policy and initiatives designed to meet the CALD population's needs are required, particularly in the areas most reported to have been disrupted by changes associated with COVID-19. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Destination dumping ground: The convergence of 'unwanted' populations in disadvantaged city areas."
Abstract:"Academic and lay discourses around disadvantaged urban areas often draw on the language of 'dumping grounds' to encapsulate the poverty, marginalisation and social problems often found there. Yet the concept of a dumping ground remains insufficiently theorised. This paper addresses this issue by identifying five constituent features of the dumping ground: the perception of people as waste whose fate is to be discarded; the need to accommodate this human waste' and the logic by which places are selected for this purpose; the mechanisms through which this spatial sorting occurs as problem populations are moved to their 'rightful' place; the relations of power which enforce or encourage this mobility; and finally, the reactions of incumbent residents in neighbourhoods that are compelled to host unwanted social groups. In the second part of this paper, these themes are illustrated via a case study of the Australian city of Logan where residents complain that their city has been treated as a dumping ground in order to explain its poor reputation.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [1];
Q4 = [0];
Q5 = [1];
Q6 = [0]. | abs21329 | 10.1177/0042098015587241 | Destination dumping ground: The convergence of 'unwanted' populations in disadvantaged city areas | Academic and lay discourses around disadvantaged urban areas often draw on the language of 'dumping grounds' to encapsulate the poverty, marginalisation and social problems often found there. Yet the concept of a dumping ground remains insufficiently theorised. This paper addresses this issue by identifying five constituent features of the dumping ground: the perception of people as waste whose fate is to be discarded; the need to accommodate this human waste' and the logic by which places are selected for this purpose; the mechanisms through which this spatial sorting occurs as problem populations are moved to their 'rightful' place; the relations of power which enforce or encourage this mobility; and finally, the reactions of incumbent residents in neighbourhoods that are compelled to host unwanted social groups. In the second part of this paper, these themes are illustrated via a case study of the Australian city of Logan where residents complain that their city has been treated as a dumping ground in order to explain its poor reputation. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Beyond the Governance Gap: Accountability in Privatized Migration Control."
Abstract:"This Article focuses on the accountability challenges raised by the increased involvement of Private Military and Security Companies (PMSC) in migration control. I argue that migration control activities outsourced to PMSC can be classified as high-risk operations for the purposes of the application of relevant business and human rights standards. This reclassification of migration control activities as high-risk business operations, in turn, has two significant implications in terms of establishing accountability for PMSC's wrongful conduct. First, it acknowledges that the privatization of migration control, especially within the context of continued containment and deterrence trends, entails a high risk of human rights abuses to which PMSC may contribute, both directly and indirectly. Second, this reclassification enables us to identify heightened obligations vested upon the home state of a PMSC, as well as the heightened responsibility of PMSC themselves. The article also examines what these heightened obligations and responsibilities entail.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [5];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs11774 | 10.1017/glj.2020.19 | Beyond the Governance Gap: Accountability in Privatized Migration Control | This Article focuses on the accountability challenges raised by the increased involvement of Private Military and Security Companies (PMSC) in migration control. I argue that migration control activities outsourced to PMSC can be classified as high-risk operations for the purposes of the application of relevant business and human rights standards. This reclassification of migration control activities as high-risk business operations, in turn, has two significant implications in terms of establishing accountability for PMSC's wrongful conduct. First, it acknowledges that the privatization of migration control, especially within the context of continued containment and deterrence trends, entails a high risk of human rights abuses to which PMSC may contribute, both directly and indirectly. Second, this reclassification enables us to identify heightened obligations vested upon the home state of a PMSC, as well as the heightened responsibility of PMSC themselves. The article also examines what these heightened obligations and responsibilities entail. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Changes in attitudes towards smoking during smoking cessation courses for Turkish- and Albanian-speaking migrants in Switzerland and its association with smoking behavior: A latent change score approach."
Abstract:"IntroductionMigrant populations usually report higher smoking rates than locals. At the same time, people with a migration background have little or no access to regular smoking cessation treatment. In the last two decades, regular smoking cessation courses were adapted to reach out to Turkish- and Albanian-speaking migrants living in Switzerland. The main aims of the current study were (1) to analyze the effects of an adapted smoking cessation course for Turkish- and Albanian-speaking migrants in Switzerland on attitudes toward smoking and smoking behavior; and (2) to elucidate whether changes in attitudes toward smoking were associated to changes in smoking behavior in the short- and in the long-term. MethodsA total of 59 smoking cessation courses (Turkish: 37; Albanian: 22) with 436 participants (T: 268; A: 168) held between 2014 and 2019 were evaluated. Attitudes toward smoking and cigarettes smoked per day were assessed at baseline and 3-months follow-up. One-year follow-up calls included assessment of cigarettes smoked per day. Data were analyzed by means of structural equation modeling with latent change scores. ResultsParticipation in an adapted smoking cessation course led to a decrease of positive attitudes toward smoking (T: beta = -0.65, p < 0.001; A: beta = -0.68, p < 0.001) and a decrease of cigarettes smoked per day in the short-term (T: beta = -0.58, p < 0.001; A: beta = -0.43, p < 0.001) with only Turkish-speaking migrants further reducing their smoking in the long-term (T: beta = -0.59, p < 0.001; A: beta = -0.14, p = 0.57). Greater decreases in positive attitudes were associated with greater reductions of smoking in the short-term (T: r = 0.39, p < 0.001; A: r = 0.32, p = 0.03), but not in the long-term (T: r = -0.01, p = 0.88; A: r = -0.001, p = 0.99). ConclusionThe adapted smoking cessation courses fostered changes in positive attitudes toward smoking that were associated with intended behavior change in the short-term. The importance of socio-cognitive characteristics related to behavior change maintenance to further increase treatment effectiveness in the long-term is discussed.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs18873 | 10.3389/fpsyg.2022.1032091 | Changes in attitudes towards smoking during smoking cessation courses for Turkish- and Albanian-speaking migrants in Switzerland and its association with smoking behavior: A latent change score approach | IntroductionMigrant populations usually report higher smoking rates than locals. At the same time, people with a migration background have little or no access to regular smoking cessation treatment. In the last two decades, regular smoking cessation courses were adapted to reach out to Turkish- and Albanian-speaking migrants living in Switzerland. The main aims of the current study were (1) to analyze the effects of an adapted smoking cessation course for Turkish- and Albanian-speaking migrants in Switzerland on attitudes toward smoking and smoking behavior; and (2) to elucidate whether changes in attitudes toward smoking were associated to changes in smoking behavior in the short- and in the long-term. MethodsA total of 59 smoking cessation courses (Turkish: 37; Albanian: 22) with 436 participants (T: 268; A: 168) held between 2014 and 2019 were evaluated. Attitudes toward smoking and cigarettes smoked per day were assessed at baseline and 3-months follow-up. One-year follow-up calls included assessment of cigarettes smoked per day. Data were analyzed by means of structural equation modeling with latent change scores. ResultsParticipation in an adapted smoking cessation course led to a decrease of positive attitudes toward smoking (T: beta = -0.65, p < 0.001; A: beta = -0.68, p < 0.001) and a decrease of cigarettes smoked per day in the short-term (T: beta = -0.58, p < 0.001; A: beta = -0.43, p < 0.001) with only Turkish-speaking migrants further reducing their smoking in the long-term (T: beta = -0.59, p < 0.001; A: beta = -0.14, p = 0.57). Greater decreases in positive attitudes were associated with greater reductions of smoking in the short-term (T: r = 0.39, p < 0.001; A: r = 0.32, p = 0.03), but not in the long-term (T: r = -0.01, p = 0.88; A: r = -0.001, p = 0.99). ConclusionThe adapted smoking cessation courses fostered changes in positive attitudes toward smoking that were associated with intended behavior change in the short-term. The importance of socio-cognitive characteristics related to behavior change maintenance to further increase treatment effectiveness in the long-term is discussed. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Mandated and Voluntary Social Distancing during the COVID-19 Epidemic."
Abstract:"The COVID-19 epidemic upended social and economic life in the United States. To reduce transmission, people altered their mobility and interpersonal contact, and state and local governments acted to induce social distancing through across-the-board policies. The epidemic and the subsequent social distancing response led to high unemployment and to efforts to reopen the economy using more-targeted virus mitigation policies. This paper makes five contributions to studying epidemic policy and mobility. First, we review COVID-19 research on mobility, labor markets, consumer behavior, and health. Second, we sketch a simple model of incentives and constraints facing individuals. Third, we propose a typology of government social distancing policies. Fourth, we review new databases measuring cellular mobility and contact. Fifth, we present regression evidence to help disentangle private versus policy-induced changes in mobility. During the shutdown phase, large declines in mobility occurred before states adopted stay-at-home (SAH) mandates and in states that never adopted them, suggesting that much of the decline was a private response to the risk of infection. Similarly, in the reopening phase mobility increased rapidly, mostly preceding official state reopenings, with policies explaining almost none of the increase.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [1];
Q6 = [1]. | abs17219 | 10.1353/eca.2020.0011 | Mandated and Voluntary Social Distancing during the COVID-19 Epidemic | The COVID-19 epidemic upended social and economic life in the United States. To reduce transmission, people altered their mobility and interpersonal contact, and state and local governments acted to induce social distancing through across-the-board policies. The epidemic and the subsequent social distancing response led to high unemployment and to efforts to reopen the economy using more-targeted virus mitigation policies. This paper makes five contributions to studying epidemic policy and mobility. First, we review COVID-19 research on mobility, labor markets, consumer behavior, and health. Second, we sketch a simple model of incentives and constraints facing individuals. Third, we propose a typology of government social distancing policies. Fourth, we review new databases measuring cellular mobility and contact. Fifth, we present regression evidence to help disentangle private versus policy-induced changes in mobility. During the shutdown phase, large declines in mobility occurred before states adopted stay-at-home (SAH) mandates and in states that never adopted them, suggesting that much of the decline was a private response to the risk of infection. Similarly, in the reopening phase mobility increased rapidly, mostly preceding official state reopenings, with policies explaining almost none of the increase. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Migrant Sampling Using Facebook Advertisements: A Case Study of Polish Migrants in Four European Countries."
Abstract:"Sampling of migrants in cross-national survey research is challenging. Established techniques such as random-route sampling or random-digit-dialing are associated with high monetary costs, in particular when small migrant groups are targeted. The use of onomastic (name based) telephone sampling is a relatively cost-efficient alternative, but it relies on a number of conditions (e.g., existence of telephone directories in the respective countries and inclusion of the target population). As the use of social networking sites (SNSs) has spread around the globe in the last 20 years, the present paper investigates whether a specific SNS, Facebook, can be used to sample migrants, with the ultimate goal to supplement other approaches. This article is based on data collected as part of a survey that used Facebook advertisements to sample Polish migrants in Austria, Ireland, Switzerland, and the United Kingdom. The study succeeded in sampling a total of 1,103 individuals who completed the relatively extensive questionnaire within the field period of 8 weeks (1,100 within the 4 weeks the advertisements were placed). In contrast to most of the few other studies that tried to sample respondents with the help of Facebook advertisements, no incentives were used. With nearly all (96%) of the respondents belonging to the target population and a total sampling budget of (sic)500 (US$557), the method can be considered both accurate and cost efficient in recruiting people from the target population. Furthermore, our results suggest that the vast majority of the sample would not have been reached if onomastic sampling had been employed.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [3];
Q3 = [2];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs20253 | 10.1177/0894439316666262 | Migrant Sampling Using Facebook Advertisements: A Case Study of Polish Migrants in Four European Countries | Sampling of migrants in cross-national survey research is challenging. Established techniques such as random-route sampling or random-digit-dialing are associated with high monetary costs, in particular when small migrant groups are targeted. The use of onomastic (name based) telephone sampling is a relatively cost-efficient alternative, but it relies on a number of conditions (e.g., existence of telephone directories in the respective countries and inclusion of the target population). As the use of social networking sites (SNSs) has spread around the globe in the last 20 years, the present paper investigates whether a specific SNS, Facebook, can be used to sample migrants, with the ultimate goal to supplement other approaches. This article is based on data collected as part of a survey that used Facebook advertisements to sample Polish migrants in Austria, Ireland, Switzerland, and the United Kingdom. The study succeeded in sampling a total of 1,103 individuals who completed the relatively extensive questionnaire within the field period of 8 weeks (1,100 within the 4 weeks the advertisements were placed). In contrast to most of the few other studies that tried to sample respondents with the help of Facebook advertisements, no incentives were used. With nearly all (96%) of the respondents belonging to the target population and a total sampling budget of (sic)500 (US$557), the method can be considered both accurate and cost efficient in recruiting people from the target population. Furthermore, our results suggest that the vast majority of the sample would not have been reached if onomastic sampling had been employed. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Labour migration of the population of Ukraine to the countries of the European Union: factors and risks of influence."
Abstract:"Nowadays the migration of the population plays an important role in the development of a country, a region, a town and it is the result of socio-economic changes. The population of Ukraine and its regions is decreasing in recent years due to three main reasons: 1) the demographic crisis; 2) the activation of migration processes; 3) the military conflict in the east of the country. If the demographic component is a natural process that is covering European countries more than one year, then the others point out a lot of unfavorable factors that has been formed inside Ukraine and push the population into the international migration processes. The problem of labour migration is complex, systematic and its solution must be based on the improvement of socioeconomic policies of the country or region. Migration processes at the world-wide European and Ukrainian levels are investigated by such domestic scientists as O.A. Malynovska, Y.M. Pakhomov, A.O. Nadtochiy, D.V. Chekushyna, S.O. Zapadnyuk, V.P. Miklovoda, M.I. Pityulych, N.A. Syrochuk, V.S. Morokhovych and others. In the structure of migration flows of Ukraine foreign labour migration takes the first place, which has acquired a large-scale nature and has absorbed a significant number of economically active population of the country at the age of 20-34 years over the past 10 years. In particular, in 2016 the number of men who left Ukraine at the age of 20-24 was 3897 people; at the age of 25-29 years - 2360 people, at the age of 30-34 - 1086 people. As for women, their number varies in two age categories: 20-24 years old - 1487 people and 25-29 years old - 1226 people. The dynamics of the migration movement of the population in the regions of Ukraine is divided into four regions of Ukraine, which are the leaders according to the number of those who went abroad, namely: Dnipro region (2300 people), Transcarpathian region (1519 people), Odesa region (2126 people) and Kharkiv region (3291 people). According to the State Statistics Committee in Ukraine there are 16 million economically active citizens, 12.8 million of them officially work. Taking these numbers into consideration, the problems with the pension system will arise first and foremost. Nowadays 10 working Ukrainians account for 15 pensioners. If the pace of migration remains, then the ratio will change to 8 for 15. Analysts warn that according to the outflow of labour resources, Ukraine is losing about 40 billion UAH annually. Moreover, the shortage of workforce is putting back the development of some sectors of industry, agriculture, hospitality industry and leads to the decline of regions. It should be noted that unemployment is a major factor in the activation of labour migration in researches. The decline of the Ukrainian economy increased the unemployment level of the population. Although the pace of recovery of economic activity shows a positive dynamics, we have not succeeded yet in reaching the employment level of at least the pre-cri."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs20137 | 10.15421/111907 | Labour migration of the population of Ukraine to the countries of the European Union: factors and risks of influence | Nowadays the migration of the population plays an important role in the development of a country, a region, a town and it is the result of socio-economic changes. The population of Ukraine and its regions is decreasing in recent years due to three main reasons: 1) the demographic crisis; 2) the activation of migration processes; 3) the military conflict in the east of the country. If the demographic component is a natural process that is covering European countries more than one year, then the others point out a lot of unfavorable factors that has been formed inside Ukraine and push the population into the international migration processes. The problem of labour migration is complex, systematic and its solution must be based on the improvement of socioeconomic policies of the country or region. Migration processes at the world-wide European and Ukrainian levels are investigated by such domestic scientists as O.A. Malynovska, Y.M. Pakhomov, A.O. Nadtochiy, D.V. Chekushyna, S.O. Zapadnyuk, V.P. Miklovoda, M.I. Pityulych, N.A. Syrochuk, V.S. Morokhovych and others. In the structure of migration flows of Ukraine foreign labour migration takes the first place, which has acquired a large-scale nature and has absorbed a significant number of economically active population of the country at the age of 20-34 years over the past 10 years. In particular, in 2016 the number of men who left Ukraine at the age of 20-24 was 3897 people; at the age of 25-29 years - 2360 people, at the age of 30-34 - 1086 people. As for women, their number varies in two age categories: 20-24 years old - 1487 people and 25-29 years old - 1226 people. The dynamics of the migration movement of the population in the regions of Ukraine is divided into four regions of Ukraine, which are the leaders according to the number of those who went abroad, namely: Dnipro region (2300 people), Transcarpathian region (1519 people), Odesa region (2126 people) and Kharkiv region (3291 people). According to the State Statistics Committee in Ukraine there are 16 million economically active citizens, 12.8 million of them officially work. Taking these numbers into consideration, the problems with the pension system will arise first and foremost. Nowadays 10 working Ukrainians account for 15 pensioners. If the pace of migration remains, then the ratio will change to 8 for 15. Analysts warn that according to the outflow of labour resources, Ukraine is losing about 40 billion UAH annually. Moreover, the shortage of workforce is putting back the development of some sectors of industry, agriculture, hospitality industry and leads to the decline of regions. It should be noted that unemployment is a major factor in the activation of labour migration in researches. The decline of the Ukrainian economy increased the unemployment level of the population. Although the pace of recovery of economic activity shows a positive dynamics, we have not succeeded yet in reaching the employment level of at least the pre-crisis period. The main reason for the unemployment increase was the fall of the economy and the corresponding decline in finances of enterprises. An analysis of the unemployment rate shows a significant disproportion in employment in the regions of Ukraine in January 2017. We distinguish such reasons: 1) different socio-economic level of development of regions; 2) lack of jobs; 3) political instability; 4) military actions in the east of the country. The best employment situation is observed in Kharkiv, Kyiv, Odesa, Lviv, Dnipro regions and the worst - in Luhansk, Donetsk, Volyn, Ternopil and Kirovograd regions. These important arguments prove the inevitability of the intensification of labour migration flows into the countries of the European Union and the European vector of labour migration for Ukrainians remains crucial not only today but also in the long run. The dynamics of labour migration from Ukraine is as follows: in 2008 the number of labour migrants from our country reached 1.2 million people and according to the ranking Russia, Italy, Czech Republic, Poland and Hungary were chosen; in 2012 the number of migrant workers has not changed (1. 2 million), but the vectors of the countries, that migrants chose, have changed - Russia, Poland, Italy, the Czech Republic, Spain; in comparison with previous years in 2017 the number of migrant workers increased to 1.3 million people who settled in Poland, Russia, Italy, the Czech Republic and the USA. There is a slightly different spatial picture of the migrants' movement of Ukraine directly with the countries that it borders. We witness an abrupt increase in the numbers from 2012 till 2017 in Poland (up to 10 million people), in Hungary (up to 3 million people), Romania and Slovakia (1.5 million people). The departure of Ukrainian citizens to Russia has decreased, in particular, in 2013 the number was the largest and reached more than 6 million people. In the next period of 2014-2016, due to military actions in eastern Ukraine, the number decreased to 4 million people and only in 2017 began to increase to 5 million people again. It should be noted that 60% of them are labour migrants. The situation that has appeared in the field of labour migration requires the government of the country to take steps in regulating labour migration at the legislative level and to implement a number of measures, as follows: the protection of the rights of labour migrants, the legalization of their employment; the development of special regional programs for stimulating self-employment of those migrants who have returned from abroad after labour migration; the assistance from public authorities in launching businesses, small businesses, farming by the labourers who returned; to give them the opportunity to take refresher courses and retraining in different fields, etc. Thus, the analysis of new trends in labour migration both in Ukraine and in Transcarpathian region requires the intensification of the international cooperation with the member countries of the European Union in creating favorable conditions for the legalization of Ukrainian labour migrants, cooperation in the field of border control, the promotion of reverse migration, the raising the socio-economic standard of living in Ukraine, because the risks of labour migration are assessed as alarming. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Wastewater usage in urban and peri-urban agricultural production systems: scenarios from India."
Abstract:"The role urban and peri-urban agriculture (UPA) plays in reducing urban poverty and ensuring environmental sustainability was recognized by the Millennium Development Goals (MGDs). India is the world's largest democratic nation with a population of 1.2 billion. The rapid urbanization and high proportion of people below the poverty line along with higher migration to urban areas make India vulnerable to food crisis and urbanization of poverty. Ensuring jobs and food security among urban poor is a major challenge in India. The role of UPA can be well explained and understood in this context. This paper focuses on the current situation of UPA production in India with special attention to wastewater irrigation. This question is being posed about the various human health risks from wastewater irrigation which are faced by farmers and labourers, and, secondly by consumers. The possible health hazards involve microbial pathogens as well as helminth (intestinal parasites). Based on primary and secondary data, this paper attempts to confirm that UPA is one of the best options to address increasing urban food demand and can serve to complement rural supply chains and reduce ecological food prints in India. Good practice urban and peri-urban agriculture necessitates an integrated approach with suitable risk reduction mechanisms to improve the efficiency and safety of UPA production.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs03355 | gen.2014.69012693 | Wastewater usage in urban and peri-urban agricultural production systems: scenarios from India | The role urban and peri-urban agriculture (UPA) plays in reducing urban poverty and ensuring environmental sustainability was recognized by the Millennium Development Goals (MGDs). India is the world's largest democratic nation with a population of 1.2 billion. The rapid urbanization and high proportion of people below the poverty line along with higher migration to urban areas make India vulnerable to food crisis and urbanization of poverty. Ensuring jobs and food security among urban poor is a major challenge in India. The role of UPA can be well explained and understood in this context. This paper focuses on the current situation of UPA production in India with special attention to wastewater irrigation. This question is being posed about the various human health risks from wastewater irrigation which are faced by farmers and labourers, and, secondly by consumers. The possible health hazards involve microbial pathogens as well as helminth (intestinal parasites). Based on primary and secondary data, this paper attempts to confirm that UPA is one of the best options to address increasing urban food demand and can serve to complement rural supply chains and reduce ecological food prints in India. Good practice urban and peri-urban agriculture necessitates an integrated approach with suitable risk reduction mechanisms to improve the efficiency and safety of UPA production. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Enacting Border Governance through Multi-scalar Violence: Exclusion and discrimination of Rohingya people in Rakhine state."
Abstract:"While international focus has been on armed violence and Rohingya refugee flows from Rakhine state, this article pays attention to the myriad forms of 'everyday discrimination' that Muslim Rohingya people have experienced over a prolonged time. These forms of discrimination were observed by the author and reported by Rohingya informants in three areas of Rakhine state during research conducted in 2015. The article argues that systemic discrimination against Rohingya people can be understood as the violent enactment of bordering processes by both state and non-state actors at multiple scales, thus contributing to border governance. Bordering processes can be observed at the national level through the construction of citizenship in law and documentation; at the sub-national level through the restriction of travel and mobility at the township and village levels in Rakhine state; at the household level through household registrations and the control of births, marriages, and family relationships; as well as at the individual level through arrests, detention, and acts of violence. The border is enacted through such processes, with Rohingya people treated as an embodiment of both a political boundary between Myanmar and Bangladesh, and a social boundary constructing the Muslims as 'fearsome and disgusting others' by the country's non-Rohingya groups, particularly by the majority Bamar Buddhist population.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs09844 | 10.1017/S0026749X21000135 | Enacting Border Governance through Multi-scalar Violence: Exclusion and discrimination of Rohingya people in Rakhine state | While international focus has been on armed violence and Rohingya refugee flows from Rakhine state, this article pays attention to the myriad forms of 'everyday discrimination' that Muslim Rohingya people have experienced over a prolonged time. These forms of discrimination were observed by the author and reported by Rohingya informants in three areas of Rakhine state during research conducted in 2015. The article argues that systemic discrimination against Rohingya people can be understood as the violent enactment of bordering processes by both state and non-state actors at multiple scales, thus contributing to border governance. Bordering processes can be observed at the national level through the construction of citizenship in law and documentation; at the sub-national level through the restriction of travel and mobility at the township and village levels in Rakhine state; at the household level through household registrations and the control of births, marriages, and family relationships; as well as at the individual level through arrests, detention, and acts of violence. The border is enacted through such processes, with Rohingya people treated as an embodiment of both a political boundary between Myanmar and Bangladesh, and a social boundary constructing the Muslims as 'fearsome and disgusting others' by the country's non-Rohingya groups, particularly by the majority Bamar Buddhist 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:"EXTERNAL LABOR MIGRATION AND ITS CONSEQUENCES FOR THE LABOR MARKET OF UKRAINE."
Abstract:"This paper reports a study into the trends and patterns of the impact of external labor migration on the effectiveness of the functioning of Ukraine's labor market, as well as defining those areas where migration processes could be coordinated in order to preserve the labor potential of this country. The scale and characteristics of the external labor migration in Ukraine have been considered. A tendency has been identified towards increasing the number of potential labor migrants among the population of Ukraine. The main destinations for migrant workers are the EU, primarily Poland, Italy, and the Czech Republic. It was found that the main labor migrants are men aged 30 to 49 with secondary and secondary specialized education, which indicates a significant outflow of labor from Ukraine. The main motives that encourage Ukrainians to work abroad have been determined. The main one has been investigated, related to the low level of wages in Ukraine, which is several times lower than the level of remuneration in the recipient countries. The positive and negative consequences of labor migration for Ukraine as a labor donor country have been given. Among the direct positive consequences, the main ones are the reduction of pressure on the labor market and the decrease in unemployment. Among the negative ones is the migration of the most active part of the labor force, the migration of young people and the most qualified specialists, which causes a shortage of labor in Ukraine's labor market. The ways to improve the coordination of migration processes have been proposed, in order to preserve the labor potential of this country. The first is to improve the information support of the labor migration management process; the second is to promote economic growth and social development in Ukraine. The implementation of these measures could reduce the motivation for labor migration and provide conditions for the return of migrant workers.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs19910 | gen.2021.45695012 | EXTERNAL LABOR MIGRATION AND ITS CONSEQUENCES FOR THE LABOR MARKET OF UKRAINE | This paper reports a study into the trends and patterns of the impact of external labor migration on the effectiveness of the functioning of Ukraine's labor market, as well as defining those areas where migration processes could be coordinated in order to preserve the labor potential of this country. The scale and characteristics of the external labor migration in Ukraine have been considered. A tendency has been identified towards increasing the number of potential labor migrants among the population of Ukraine. The main destinations for migrant workers are the EU, primarily Poland, Italy, and the Czech Republic. It was found that the main labor migrants are men aged 30 to 49 with secondary and secondary specialized education, which indicates a significant outflow of labor from Ukraine. The main motives that encourage Ukrainians to work abroad have been determined. The main one has been investigated, related to the low level of wages in Ukraine, which is several times lower than the level of remuneration in the recipient countries. The positive and negative consequences of labor migration for Ukraine as a labor donor country have been given. Among the direct positive consequences, the main ones are the reduction of pressure on the labor market and the decrease in unemployment. Among the negative ones is the migration of the most active part of the labor force, the migration of young people and the most qualified specialists, which causes a shortage of labor in Ukraine's labor market. The ways to improve the coordination of migration processes have been proposed, in order to preserve the labor potential of this country. The first is to improve the information support of the labor migration management process; the second is to promote economic growth and social development in Ukraine. The implementation of these measures could reduce the motivation for labor migration and provide conditions for the return of migrant workers. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"National scale mapping of supply and demand for recreational ecosystem services."
Abstract:"Cultural ecosystem services (CES) are often underrepresented in ecosystem service assessments, despite the importance of these benefits. Recreation is often used to represent CES, however identifying, quantifying, and mapping these services continues to be a challenge. In this study, we develop a national CES map predicting recreation demand (e.g. walking, hiking, cycling) for the United Kingdom (UK). Recreation demand is calculated as the number of projected visits for local recreation, estimated using the universal law of human mobility which accounts for the attractiveness of an area. Recreation demand was found to be the greatest in areas surrounding high population centres, compared with protected sites which were deemed more attractive but were in more remote areas. This pattern was most pronounced when evaluating weekly visits, but was still evident where the visit frequency was reduced to annual. In this study, we also evaluate whether this demand is met for recreation by assessing the presence of paths. The mean for met demand (paths present) was 4.5 times greater than unmet demand (paths absent) for yearly visits across the UK. Generally, in the areas of highest demand close to populated centres, paths were present, making 84% of all yearly recreational demand met by path infrastructure. However, paths are lacking from 42% of the UK, with some of these areas coinciding with higher recreation demand, for example in the northeast and parts of Wales. Our study therefore highlights not only where the recreation demand is highest and access should be maintained, but also where demand for recreation exists but the infrastructure including paths are not present, and therefore has the potential to be improved. This information is useful for policy makers and land managers, as it allows areas to be prioritised for the maintenance and improvement of recreation provision under new land management policy.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs18312 | 10.1016/j.ecolind.2023.110779 | National scale mapping of supply and demand for recreational ecosystem services | Cultural ecosystem services (CES) are often underrepresented in ecosystem service assessments, despite the importance of these benefits. Recreation is often used to represent CES, however identifying, quantifying, and mapping these services continues to be a challenge. In this study, we develop a national CES map predicting recreation demand (e.g. walking, hiking, cycling) for the United Kingdom (UK). Recreation demand is calculated as the number of projected visits for local recreation, estimated using the universal law of human mobility which accounts for the attractiveness of an area. Recreation demand was found to be the greatest in areas surrounding high population centres, compared with protected sites which were deemed more attractive but were in more remote areas. This pattern was most pronounced when evaluating weekly visits, but was still evident where the visit frequency was reduced to annual. In this study, we also evaluate whether this demand is met for recreation by assessing the presence of paths. The mean for met demand (paths present) was 4.5 times greater than unmet demand (paths absent) for yearly visits across the UK. Generally, in the areas of highest demand close to populated centres, paths were present, making 84% of all yearly recreational demand met by path infrastructure. However, paths are lacking from 42% of the UK, with some of these areas coinciding with higher recreation demand, for example in the northeast and parts of Wales. Our study therefore highlights not only where the recreation demand is highest and access should be maintained, but also where demand for recreation exists but the infrastructure including paths are not present, and therefore has the potential to be improved. This information is useful for policy makers and land managers, as it allows areas to be prioritised for the maintenance and improvement of recreation provision under new land management policy. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Explaining Population Displacement Strategies in Civil Wars: A Cross-National Analysis."
Abstract:"Why do combatants uproot civilians in wartime? In this paper I identify cross-national variation in three population-displacement strategies-cleansing, depopulation, and forced relocation-and test different explanations for their use by state actors. I advance a new assortative theory to explain forced relocation, the most common type. I argue that combatants displace not only to expel undesirable populations, but also to identify the undesirables in the first place by forcing people to send signals of loyalty and affiliation based on whether, and to where, they flee. This makes communities more legible and facilitates the extraction of rents and recruits. I test these arguments using a novel Strategic Displacement in Civil Conflict data set (1945-2008). Consistent with my expectations, different displacement strategies occur in different contexts and appear to follow different logics. Cleansing is more likely in conventional wars, where territorial conquest takes primacy, while forced relocation is more likely in irregular wars, where identification problems are most acute. The evidence indicates that cleansing follows a logic of punishment. The results for relocation, however, are consistent with the implications of my assortative logic: it is more likely to be employed by resource-constrained incumbents fighting insurgencies in illegible areas-rural, peripheral territories. A case study from Uganda based on in-depth fieldwork provides evidence for the assortative mechanism. As the most comprehensive analysis of wartime displacement strategies to date, this paper challenges some core assumptions about a devastating form of contemporary political violence.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs18676 | 10.1017/S0020818320000089 | Explaining Population Displacement Strategies in Civil Wars: A Cross-National Analysis | Why do combatants uproot civilians in wartime? In this paper I identify cross-national variation in three population-displacement strategies-cleansing, depopulation, and forced relocation-and test different explanations for their use by state actors. I advance a new assortative theory to explain forced relocation, the most common type. I argue that combatants displace not only to expel undesirable populations, but also to identify the undesirables in the first place by forcing people to send signals of loyalty and affiliation based on whether, and to where, they flee. This makes communities more legible and facilitates the extraction of rents and recruits. I test these arguments using a novel Strategic Displacement in Civil Conflict data set (1945-2008). Consistent with my expectations, different displacement strategies occur in different contexts and appear to follow different logics. Cleansing is more likely in conventional wars, where territorial conquest takes primacy, while forced relocation is more likely in irregular wars, where identification problems are most acute. The evidence indicates that cleansing follows a logic of punishment. The results for relocation, however, are consistent with the implications of my assortative logic: it is more likely to be employed by resource-constrained incumbents fighting insurgencies in illegible areas-rural, peripheral territories. A case study from Uganda based on in-depth fieldwork provides evidence for the assortative mechanism. As the most comprehensive analysis of wartime displacement strategies to date, this paper challenges some core assumptions about a devastating form of contemporary political violence. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Refugees in Their Own Country Women, Children and Elderly People Caught up in the Transylvanian Theaters of War during the Great War."
Abstract:"The First World War engendered an emblematic image of the twentieth century: the figure of the war refugee. For more than four years, Europe was a theatre of war in which entire populations were displaced from their regions of origin, while others awaited similar decisions. Having entered the war in 1914, Transylvania was one of the areas where refugees sought shelter. Throughout the war, in different areas and in various stages, the Transylvanian population had to cope with several waves of refugees who tried to find a safe haven in the interior of the province. This research aims to reconstruct and analyze this experience of the civilian refugees from the border areas of Transylvania, who looked for safety inside their own province. In other words, we intend to focus on the behavior of the refugees and on that of the population from the receiving areas, the attitudes and reactions of the host communities, the image of the refugees and its reception at the local community level, the initiatives taken by the state authorities and by charitable organizations, the difficult integration in the new communities, the host communities' reactions of solidarity or rejection, the refugees' return and reintegration in their places of origin, as well as the rebuilding of areas and houses that had been partially or fully destroyed.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5,6];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0]. | abs21251 | gen.2019.43991277 | Refugees in Their Own Country Women, Children and Elderly People Caught up in the Transylvanian Theaters of War during the Great War | The First World War engendered an emblematic image of the twentieth century: the figure of the war refugee. For more than four years, Europe was a theatre of war in which entire populations were displaced from their regions of origin, while others awaited similar decisions. Having entered the war in 1914, Transylvania was one of the areas where refugees sought shelter. Throughout the war, in different areas and in various stages, the Transylvanian population had to cope with several waves of refugees who tried to find a safe haven in the interior of the province. This research aims to reconstruct and analyze this experience of the civilian refugees from the border areas of Transylvania, who looked for safety inside their own province. In other words, we intend to focus on the behavior of the refugees and on that of the population from the receiving areas, the attitudes and reactions of the host communities, the image of the refugees and its reception at the local community level, the initiatives taken by the state authorities and by charitable organizations, the difficult integration in the new communities, the host communities' reactions of solidarity or rejection, the refugees' return and reintegration in their places of origin, as well as the rebuilding of areas and houses that had been partially or fully destroyed. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"From Exclusion to Resistance: Migrant Domestic Workers and the Evolution of Agency in Lebanon."
Abstract:"In addition to hosting a large population of refugees and displaced persons, Lebanon is home to an estimated 200,000 to 300,000 migrant domestic workers. Under Lebanese law, domestic workers fall under the kafala, or sponsorship, system. Existing literature has focused on the legality of the kafala system and the ensuing human rights violations resulting from workers' exclusion from Lebanese labor law. Based on fieldwork conducted in 2016, this article argues that migrant domestic workers in Lebanon have defied their spatial, social, and legal exclusion by organizing collective resistance, triggered in part by the July 2006 Israel-Lebanon war.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs13274 | 10.1080/15562948.2017.1400631 | From Exclusion to Resistance: Migrant Domestic Workers and the Evolution of Agency in Lebanon | In addition to hosting a large population of refugees and displaced persons, Lebanon is home to an estimated 200,000 to 300,000 migrant domestic workers. Under Lebanese law, domestic workers fall under the kafala, or sponsorship, system. Existing literature has focused on the legality of the kafala system and the ensuing human rights violations resulting from workers' exclusion from Lebanese labor law. Based on fieldwork conducted in 2016, this article argues that migrant domestic workers in Lebanon have defied their spatial, social, and legal exclusion by organizing collective resistance, triggered in part by the July 2006 Israel-Lebanon war. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Media Portrayals of Immigration and Refugees in Hard and Fake News and Their Impact on Consumer Attitudes."
Abstract:"This study examined the effect of media portrayals of immigrants and refugees on participants' attitudes using an experimental design. Participants included 196 male and female college students who were primed with either negative or positive media portrayals of immigrants and refugees from either hard or fake news sources, or no media portrayals. Participants then answered questions regarding immigrants, immigration policy, and Islamophobia. We hypothesized that there would be differences in participants attitudes based on experimental condition and that information presented from fake news would have a stronger effect on consumers than information presented via hard news. Factors related to participant susceptibility to media portrayals were also examined and included participant race, biological sex, social class, and political and religious affiliation. Significant differences were found based on experimental condition for viewing immigration as an economic, cultural diversity, and humanitarian benefit, as well as cognitive Islamophobia. As predicted, the effect of media portrayals, whether positive or negative, in video clips had a stronger effect on participants if the video clips originated from a fake news source. Additionally, biological sex, race, social class, and political affiliation were found to relate to participant susceptibility to media portrayals from both hard and fake news sources.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [5,6];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs11506 | 10.1080/10646175.2020.1810180 | Media Portrayals of Immigration and Refugees in Hard and Fake News and Their Impact on Consumer Attitudes | This study examined the effect of media portrayals of immigrants and refugees on participants' attitudes using an experimental design. Participants included 196 male and female college students who were primed with either negative or positive media portrayals of immigrants and refugees from either hard or fake news sources, or no media portrayals. Participants then answered questions regarding immigrants, immigration policy, and Islamophobia. We hypothesized that there would be differences in participants attitudes based on experimental condition and that information presented from fake news would have a stronger effect on consumers than information presented via hard news. Factors related to participant susceptibility to media portrayals were also examined and included participant race, biological sex, social class, and political and religious affiliation. Significant differences were found based on experimental condition for viewing immigration as an economic, cultural diversity, and humanitarian benefit, as well as cognitive Islamophobia. As predicted, the effect of media portrayals, whether positive or negative, in video clips had a stronger effect on participants if the video clips originated from a fake news source. Additionally, biological sex, race, social class, and political affiliation were found to relate to participant susceptibility to media portrayals from both hard and fake news sources. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Discrimination and well-being: Perceptions of refugees in western Australia."
Abstract:"This paper reports the apparent paradox of high levels of discrimination experienced by humanitarian migrants to Australia, in the labor market and everyday life, yet simultaneous reporting of positive well-being. How can people feel discriminated against, yet still be relatively satisfied with life? The study draws on quantitative and qualitative data from a study of 150 refugees from the former Yugoslavia, the Middle East, and Africa. Possible reasons for the level of well-being are explored, including relative deprivation theory, as well as various resiliency and mitigating factors, including personal and social supports. The notion of eudaimonic well-being - whereby experiences of difficulty produce positive well-being - is also applied to the findings. The negative experiences and perceptions appear to map onto low-level dissatisfaction or disgruntlement, and specifically directed or contained disappointment, rather than serious dissatisfaction with life generally, orientation to Australia, or negative subjective well-being.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,6];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs16582 | 10.1111/j.1747-7379.2007.00113.x | Discrimination and well-being: Perceptions of refugees in western Australia | This paper reports the apparent paradox of high levels of discrimination experienced by humanitarian migrants to Australia, in the labor market and everyday life, yet simultaneous reporting of positive well-being. How can people feel discriminated against, yet still be relatively satisfied with life? The study draws on quantitative and qualitative data from a study of 150 refugees from the former Yugoslavia, the Middle East, and Africa. Possible reasons for the level of well-being are explored, including relative deprivation theory, as well as various resiliency and mitigating factors, including personal and social supports. The notion of eudaimonic well-being - whereby experiences of difficulty produce positive well-being - is also applied to the findings. The negative experiences and perceptions appear to map onto low-level dissatisfaction or disgruntlement, and specifically directed or contained disappointment, rather than serious dissatisfaction with life generally, orientation to Australia, or negative subjective well-being. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"The transnational state and migration: Reach, flows and Policies."
Abstract:"For long, state building has been addressed as the expression of an exclusive power over a portion of space and population. In recent years, the scholarship moved away from such a conception by regarding state building as an assemblage of multi-scalar public and private actors, beneath and beyond its territorial borders. This paper adds to this conversation by focusing on the way states transform as they engage with migration-induced transnational flows. This paper defines the transnational migration state as the set of policies, concepts and institutions designed to make the most of profitable migration-related flows (of people, money, ideas, etc.) while filtering out unwanted ones. Next to the national-level administrations in charge of the management of human, financial and immaterial flows, states seek to extend their reach by rescaling their engagement and relying on a range of private and civil society actors, including local authorities. This paper is a theoretical contribution to the debate on state reconfiguration in a world of globalised migration. It distinguishes and conceptualises two types of migration-related transnational migration states: emigration and immigration states tackling incoming and outgoing flows respectively.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs18935 | 10.1016/j.polgeo.2021.102571 | The transnational state and migration: Reach, flows and Policies | For long, state building has been addressed as the expression of an exclusive power over a portion of space and population. In recent years, the scholarship moved away from such a conception by regarding state building as an assemblage of multi-scalar public and private actors, beneath and beyond its territorial borders. This paper adds to this conversation by focusing on the way states transform as they engage with migration-induced transnational flows. This paper defines the transnational migration state as the set of policies, concepts and institutions designed to make the most of profitable migration-related flows (of people, money, ideas, etc.) while filtering out unwanted ones. Next to the national-level administrations in charge of the management of human, financial and immaterial flows, states seek to extend their reach by rescaling their engagement and relying on a range of private and civil society actors, including local authorities. This paper is a theoretical contribution to the debate on state reconfiguration in a world of globalised migration. It distinguishes and conceptualises two types of migration-related transnational migration states: emigration and immigration states tackling incoming and outgoing flows respectively. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>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 Comparative Study of Refuge in Iran and Australia under Principles of Geneva Convention."
Abstract:"The refuge and its rights are considered as one of the controversial categories and issues of the human rights. In this regard, the Geneva International Convention and the attached protocol can be referred as the most important international document and the most important and valuable measurement criterion related to the refugees. In this research, the rules of Iran and Australia under the Geneva Convention and the attached protocol are compared, that the Iran and Australia's government have joined it. It seems that considering the accession of both Iran and Australia countries to the Geneva Convention, the domestic rules of these countries are perfectly conformed to this international document. Also, it seems that considering the reports of the Australia human rights commission and other defenders' authorities of human rights, the approval of the Australia new rule about prohibition of the arrival of the refugees who arrived by boat illegally on seashore of this country and transferring them to other countries, is contrary to the principle of not returning , that has been mentioned in the related documents.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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]. | abs14613 | 10.5539/jpl.v10n1p131 | A Comparative Study of Refuge in Iran and Australia under Principles of Geneva Convention | The refuge and its rights are considered as one of the controversial categories and issues of the human rights. In this regard, the Geneva International Convention and the attached protocol can be referred as the most important international document and the most important and valuable measurement criterion related to the refugees. In this research, the rules of Iran and Australia under the Geneva Convention and the attached protocol are compared, that the Iran and Australia's government have joined it. It seems that considering the accession of both Iran and Australia countries to the Geneva Convention, the domestic rules of these countries are perfectly conformed to this international document. Also, it seems that considering the reports of the Australia human rights commission and other defenders' authorities of human rights, the approval of the Australia new rule about prohibition of the arrival of the refugees who arrived by boat illegally on seashore of this country and transferring them to other countries, is contrary to the principle of not returning , that has been mentioned in the related documents. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Risk of violence among patients in psychiatric treatment: results from a national census."
Abstract:"Background: Adverse media coverage of isolated incidents affects the public perception of the risk of violent behavior among people with mental illness. However, the risk of violence is studied most frequently among inpatients, which falsely exaggerates the prevalence of people with mental illness because the majority of individuals receive treatment as outpatients.Aim: To estimate the prevalence of the risk of violence among inpatients and outpatients in psychiatric treatment, as well as the associations with gender, age, socio-economic status and co-morbid substance use disorders in all major diagnostic categories.Methods: We conducted a national census of patients in specialist mental health services in Norway, which included 65% of all inpatients (N=2,358) and 60% of all outpatients (N=23,124).Results: The prevalence of the risk of violence was 32% among inpatients and 8% among outpatients, where 80% of the patients in specialist mental health services were outpatients. If we weight the prevalence rates accordingly, less than 2% of the patients in specialist mental health services had a high risk of violent behavior.Conclusions: The stigma attached to those with mental illness is not consistent with the absence or low to modest risk of violent behavior in 98% of the patient group. Substance use disorders must be given priority in the treatment of all patient groups. Mental health care in general and interventions that target violent behavior in particular should address the problems and needs of these patients better, especially those who are unemployed, have a low level of education and have a background of being a refugee or an immigrant.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [6];
Q3 = [2];
Q4 = [0];
Q5 = [1];
Q6 = [1]. | abs14630 | 10.1080/08039488.2017.1352024 | Risk of violence among patients in psychiatric treatment: results from a national census | Background: Adverse media coverage of isolated incidents affects the public perception of the risk of violent behavior among people with mental illness. However, the risk of violence is studied most frequently among inpatients, which falsely exaggerates the prevalence of people with mental illness because the majority of individuals receive treatment as outpatients.Aim: To estimate the prevalence of the risk of violence among inpatients and outpatients in psychiatric treatment, as well as the associations with gender, age, socio-economic status and co-morbid substance use disorders in all major diagnostic categories.Methods: We conducted a national census of patients in specialist mental health services in Norway, which included 65% of all inpatients (N=2,358) and 60% of all outpatients (N=23,124).Results: The prevalence of the risk of violence was 32% among inpatients and 8% among outpatients, where 80% of the patients in specialist mental health services were outpatients. If we weight the prevalence rates accordingly, less than 2% of the patients in specialist mental health services had a high risk of violent behavior.Conclusions: The stigma attached to those with mental illness is not consistent with the absence or low to modest risk of violent behavior in 98% of the patient group. Substance use disorders must be given priority in the treatment of all patient groups. Mental health care in general and interventions that target violent behavior in particular should address the problems and needs of these patients better, especially those who are unemployed, have a low level of education and have a background of being a refugee or an immigrant. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Was it worth migrating to the new British industrial colony of South Australia? Evidence from skeletal pathologies and historic records of a sample of 19th-century settlers."
Abstract:"Objectives: To examine pathological evidence present in a sample of 19th-century settlers to South Australia in the context of an early industrial society. Materials: Skeletal remains of 20 adults and 45 nonadults from the government funded burial site (free ground) of St Mary's Anglican Church Cemetery, gravestones of privately funded burials and local parish records. Methods: Investigation of pathological manifestations of skeletal remains, church records and historic literature. Comparison with similar samples from Britain and from New South Wales. Results: Joint disease seen in 35% of adults. Porosity in bone cortices indicative of vitamin C deficiency seen in 32% of the total sample and porous lesions in the orbit (cribra orbitalia) in 7% of nonadults. Traumatic fractures identified in two adult males. Gastrointestinal conditions were the leading cause of death for nonadults, most adults died of pulmonary conditions. Life expectancy of people buried at the expense of the government was 23.8-42.6 years, those in private burials 57.1 years. Conclusion: Health of migrant settlers from the St Mary's free ground did not differ much from that of a similar population in Britain nor of settlers in New South Wales. Thus, it is characteristic for lower socioeconomic groups in early industrialised societies. Significance: St Mary's sample is a rarity due scarcity of similar Australian skeletal samples. Limitations: Small sample size and lack of similar samples for comparison. Suggestions for further research: Comprehensive investigation of dentitions in St Mary's sample and studies of more skeletal samples of early settlers in other Australian locations.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give 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 = [0];
Q6 = [1]. | abs19741 | 10.1016/j.ijpp.2022.04.002 | Was it worth migrating to the new British industrial colony of South Australia? Evidence from skeletal pathologies and historic records of a sample of 19th-century settlers | Objectives: To examine pathological evidence present in a sample of 19th-century settlers to South Australia in the context of an early industrial society. Materials: Skeletal remains of 20 adults and 45 nonadults from the government funded burial site (free ground) of St Mary's Anglican Church Cemetery, gravestones of privately funded burials and local parish records. Methods: Investigation of pathological manifestations of skeletal remains, church records and historic literature. Comparison with similar samples from Britain and from New South Wales. Results: Joint disease seen in 35% of adults. Porosity in bone cortices indicative of vitamin C deficiency seen in 32% of the total sample and porous lesions in the orbit (cribra orbitalia) in 7% of nonadults. Traumatic fractures identified in two adult males. Gastrointestinal conditions were the leading cause of death for nonadults, most adults died of pulmonary conditions. Life expectancy of people buried at the expense of the government was 23.8-42.6 years, those in private burials 57.1 years. Conclusion: Health of migrant settlers from the St Mary's free ground did not differ much from that of a similar population in Britain nor of settlers in New South Wales. Thus, it is characteristic for lower socioeconomic groups in early industrialised societies. Significance: St Mary's sample is a rarity due scarcity of similar Australian skeletal samples. Limitations: Small sample size and lack of similar samples for comparison. Suggestions for further research: Comprehensive investigation of dentitions in St Mary's sample and studies of more skeletal samples of early settlers in other Australian locations. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Multi-isotope proveniencing of human remains from a Bronze Age battlefield in the Tollense Valley in northeast Germany."
Abstract:"Although the Bronze Age is best known for its remarkable metal weapons, there is little evidence of conflict. Traumatic wounds in human skeletal remains are rare, and there have been few recognized scenes of warfare such as those known from later periods. Recent discoveries, however, have revealed evidence of a major battle in a small valley in the northeast of Germany, some 3250years ago. Both military equipment and human and animal remains have been encountered in surveys and excavations along almost 3km of the Tollense Valley. More than 130 human individuals have been recovered in the investigations, for the most, part young men between 20 and 40years of age. In addition, horse bones have been found among the human remains in the riverbed and banks. This study reports on the isotopic proveniencing of the excavated remains utilizing strontium, lead, oxygen, and carbon isotopes to learn about place of origin and past diet. Two major groups can be distinguished in the isotope data, along with evidence for different homelands for some of the individuals who died in the Tollense Valley.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4];
Q3 = [];
Q4 = [0];
Q5 = [0];
Q6 = [1]. | abs13856 | 10.1007/s12520-017-0529-y | Multi-isotope proveniencing of human remains from a Bronze Age battlefield in the Tollense Valley in northeast Germany | Although the Bronze Age is best known for its remarkable metal weapons, there is little evidence of conflict. Traumatic wounds in human skeletal remains are rare, and there have been few recognized scenes of warfare such as those known from later periods. Recent discoveries, however, have revealed evidence of a major battle in a small valley in the northeast of Germany, some 3250years ago. Both military equipment and human and animal remains have been encountered in surveys and excavations along almost 3km of the Tollense Valley. More than 130 human individuals have been recovered in the investigations, for the most, part young men between 20 and 40years of age. In addition, horse bones have been found among the human remains in the riverbed and banks. This study reports on the isotopic proveniencing of the excavated remains utilizing strontium, lead, oxygen, and carbon isotopes to learn about place of origin and past diet. Two major groups can be distinguished in the isotope data, along with evidence for different homelands for some of the individuals who died in the Tollense Valley. |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Using GPS-enabled mobile phones to evaluate the associations between human mobility changes and the onset of influenza illness."
Abstract:"Due to the challenges in data collection, there are few studies examining how individuals' routine mobility patterns change when they experience influenza-like symptoms (ILS). In the present study, we aimed to assess the association between changes in routine mobility and ILS using mobile phone-based GPS traces and self-reported surveys from 1,155 participants over the 2016-2017 influenza season. We used a set of mobility metrics to capture individuals' routine mobility patterns and matched their weekly ILS survey responses. For a statistical analysis, we used a time-stratified case-crossover analysis and conducted a stratified analysis to examine if such associations are moderated by demographic and socioeconomic factors, such as age, gender, occupational status, neighborhood poverty and education levels, and work type. We found that statistically significant associations existed between reduced routine mobility patterns and the experience of ILS. Results also indicated that the association between reduced mobility and ILS was significant only for female and for participants with high socioeconomic status. Our findings offered an improved understanding of ILS-associated mobility changes at the individual level and suggest the potential of individual mobility data for influenza surveillance.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.
Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.
Q4: What type of climate or environmental keywords are explicitly mentioned?: 0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation.
Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.
Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.
Use the following template:
Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [2];
Q3 = [2];
Q4 = [3];
Q5 = [];
Q6 = [1]. | abs17075 | 10.1016/j.sste.2021.100458 | Using GPS-enabled mobile phones to evaluate the associations between human mobility changes and the onset of influenza illness | Due to the challenges in data collection, there are few studies examining how individuals' routine mobility patterns change when they experience influenza-like symptoms (ILS). In the present study, we aimed to assess the association between changes in routine mobility and ILS using mobile phone-based GPS traces and self-reported surveys from 1,155 participants over the 2016-2017 influenza season. We used a set of mobility metrics to capture individuals' routine mobility patterns and matched their weekly ILS survey responses. For a statistical analysis, we used a time-stratified case-crossover analysis and conducted a stratified analysis to examine if such associations are moderated by demographic and socioeconomic factors, such as age, gender, occupational status, neighborhood poverty and education levels, and work type. We found that statistically significant associations existed between reduced routine mobility patterns and the experience of ILS. Results also indicated that the association between reduced mobility and ILS was significant only for female and for participants with high socioeconomic status. Our findings offered an improved understanding of ILS-associated mobility changes at the individual level and suggest the potential of individual mobility data for influenza surveillance. |
Subsets and Splits