<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Who Benefits? Race, Immigration, and Assumptions About Policy."
Abstract:"Existing scholarship suggests that attitudes about the real or imagined beneficiaries or targets of public policies shape public opinion about those policies, with racial and ethnic stereotypes driving policy evaluations for many Americans. Despite the importance of these assumptions, we lack strong evidence about how and why people form such assumptions in the first place. In a pre-registered survey experiment, I demonstrate that elements of policy design (e.g., a work requirement) significantly affect the assumptions that individuals make about policy beneficiaries (their race and national origin). These assumptions shape individuals' evaluations of the policy, conditional on existing attitudes (e.g., racial resentment). Importantly, existing attitudes do not condition the effects at the assumption stage: even those who profess not to believe in racial stereotypes about work ethic still assume that the absence of a work requirement makes a policy more likely to benefit blacks and immigrants.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.

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

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

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

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

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

Use the following template: 

Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
Q3 = [1];
Q4 = [0];
Q5 = [1];
Q6 = [1].
Who Benefits? Race, Immigration, and Assumptions About Policy
Existing scholarship suggests that attitudes about the real or imagined beneficiaries or targets of public policies shape public opinion about those policies, with racial and ethnic stereotypes driving policy evaluations for many Americans. Despite the importance of these assumptions, we lack strong evidence about how and why people form such assumptions in the first place. In a pre-registered survey experiment, I demonstrate that elements of policy design (e.g., a work requirement) significantly affect the assumptions that individuals make about policy beneficiaries (their race and national origin). These assumptions shape individuals' evaluations of the policy, conditional on existing attitudes (e.g., racial resentment). Importantly, existing attitudes do not condition the effects at the assumption stage: even those who profess not to believe in racial stereotypes about work ethic still assume that the absence of a work requirement makes a policy more likely to benefit blacks and immigrants.