<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Heterogeneity in displacement exposure of migrants in Shenzhen, China."
Abstract:"Large-scale residential displacement is occurring in many Chinese cities, with migrants living in 'Villages in the City' (ViCs) as the main groups affected. This study uniquely captures a situation in Baishizhou village in Shenzhen, where people live under a threat of imminent displacement. We elucidate the (social) heterogeneity of the affected population, their perceptions before and residential choices after displacement. Identifying four migrant groups, the two older generation groups (the first-generation labour migrant class and the new affluent migrant class) tend to anticipate severe consequences more than the two younger generation groups (the second-generation labour migrant class and the intellectual migrant class), mainly because the former groups are more economically and emotionally attached to the village. The residential choices of migrants (of all types) facing displacement increase housing demand in (remaining) ViCs in central urban areas, causing limitations to the absorptive capacity of cities for displaced migrants. Displacement occasionally enables displacees to climb the housing ladder; however, more often, it drives them further away from the city and places of work.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.

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

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

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

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

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

Use the following template: 

Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [6];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [1].
Heterogeneity in displacement exposure of migrants in Shenzhen, China
Large-scale residential displacement is occurring in many Chinese cities, with migrants living in 'Villages in the City' (ViCs) as the main groups affected. This study uniquely captures a situation in Baishizhou village in Shenzhen, where people live under a threat of imminent displacement. We elucidate the (social) heterogeneity of the affected population, their perceptions before and residential choices after displacement. Identifying four migrant groups, the two older generation groups (the first-generation labour migrant class and the new affluent migrant class) tend to anticipate severe consequences more than the two younger generation groups (the second-generation labour migrant class and the intellectual migrant class), mainly because the former groups are more economically and emotionally attached to the village. The residential choices of migrants (of all types) facing displacement increase housing demand in (remaining) ViCs in central urban areas, causing limitations to the absorptive capacity of cities for displaced migrants. Displacement occasionally enables displacees to climb the housing ladder; however, more often, it drives them further away from the city and places of work.