<|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 segregation and employment stability among China's migrant population, and related intergenerational differences-analysis based on propensity score matching."
Abstract:"China's migrant workers, the majority of whom are residents of rural China, have poured in to urban centres. Despite this influx, migrant workers have not integrated into urban society; rather, rural migrant life in cities is characterized by residential segregation and widespread social exclusion. This study explores the effect of residential segregation on the employment stability of China's migrant population and investigates the intergenerational differences in this effect. Data were obtained from China's 2014 special investigation on the social interactions and mental health of migrant workers and covered 6,805 and 3,237 people from the new generation (born in 1980 or later) and first-generation (born before 1980) migrant populations, respectively. Propensity score matching was employed to match those living in and outside of residentially segregated areas. Residential segregation had a significant adverse effect on the total sample's employment stability. The negative effect of residential segregation on employment stability among the first-generation migrant population was found to be nonsignificant, but was significant for the new generation of migrants.."
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 = [1];
Q4 = [0];
Q5 = [1];
Q6 = [1].
Residential segregation and employment stability among China's migrant population, and related intergenerational differences-analysis based on propensity score matching
China's migrant workers, the majority of whom are residents of rural China, have poured in to urban centres. Despite this influx, migrant workers have not integrated into urban society; rather, rural migrant life in cities is characterized by residential segregation and widespread social exclusion. This study explores the effect of residential segregation on the employment stability of China's migrant population and investigates the intergenerational differences in this effect. Data were obtained from China's 2014 special investigation on the social interactions and mental health of migrant workers and covered 6,805 and 3,237 people from the new generation (born in 1980 or later) and first-generation (born before 1980) migrant populations, respectively. Propensity score matching was employed to match those living in and outside of residentially segregated areas. Residential segregation had a significant adverse effect on the total sample's employment stability. The negative effect of residential segregation on employment stability among the first-generation migrant population was found to be nonsignificant, but was significant for the new generation of migrants.