<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"HIGH- AND LOW-RISK ACTIVISM: DIFFERENTIAL PARTICIPATION IN A REFUGEE SOLIDARITY MOVEMENT."
Abstract:"This article presents a quantitative study of differential participation in low- and high-risk activism in the Danish refugee solidarity movement. Distinguishing between low- and high-risk activism, it shows the fruitfulness of combining what are often considered competing theoretical explanations related to (1) values, (2) microstructures, and (3) emotions. We analyze data from a unique survey of 1,856 respondents recruited via Facebook. The results show that low- and high-risk participation strongly correlate but are influenced by different factors. For low-risk activities, the most important factors are emotional reactions, structural availability, and predispositions in the form of basic human values. For high-risk activity, the important factors are prior history of activism and emotional reaction. Values, microstructures, and emotions interact in relation to participation in both kinds of activism, which points to promising avenues for integrating and developing the theoretical framework of differential participation and recruitment.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.

Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.

Q4: What type of climate or environmental keywords are explicitly mentioned?:  0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.

Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.

Use the following template: 

Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:

HIGH- AND LOW-RISK ACTIVISM: DIFFERENTIAL PARTICIPATION IN A REFUGEE SOLIDARITY MOVEMENT
This article presents a quantitative study of differential participation in low- and high-risk activism in the Danish refugee solidarity movement. Distinguishing between low- and high-risk activism, it shows the fruitfulness of combining what are often considered competing theoretical explanations related to (1) values, (2) microstructures, and (3) emotions. We analyze data from a unique survey of 1,856 respondents recruited via Facebook. The results show that low- and high-risk participation strongly correlate but are influenced by different factors. For low-risk activities, the most important factors are emotional reactions, structural availability, and predispositions in the form of basic human values. For high-risk activity, the important factors are prior history of activism and emotional reaction. Values, microstructures, and emotions interact in relation to participation in both kinds of activism, which points to promising avenues for integrating and developing the theoretical framework of differential participation and recruitment.