<|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:"Examining Multilevel Correlates of Geographic Mobility in a Sample of US Young Adults Before and During the COVID-19 Pandemic."
Abstract:"Before the COVID-19 pandemic, geographic mobility, previously viewed as an indicator of economic stability, was declining among young adults. Yet, these trends shifted during the COVID-19 pandemic; young adults were more likely to move during COVID-19 for reasons related to reducing disease transmission and fewer educational and job opportunities. Few studies have documented the individual and neighborhood characteristics of young adults who moved before and during the pandemic. We used data from a cohort of young adults aged 18-34 in six metropolitan areas to examine individual- and neighborhood-level predictors of mobility before and during the COVID-19 pandemic. The sample was majority female, white, and educated with a bachelor's degree or more. Residents in neighborhoods they lived in were mostly White, US-born, employed, and lived above the poverty level. Before the pandemic, identifying as a sexual minority was significantly related to mobility. During the pandemic, being younger, single, and non-Hispanic were significantly related to mobility. Higher neighborhood poverty was significantly related to mobility before and during the COVID-19 pandemic. Future studies that examine young adult populations who moved during the pandemic are needed to determine whether COVID-19 related moves increase economic instability and subsequent health-related outcomes.."
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].
Examining Multilevel Correlates of Geographic Mobility in a Sample of US Young Adults Before and During the COVID-19 Pandemic
Before the COVID-19 pandemic, geographic mobility, previously viewed as an indicator of economic stability, was declining among young adults. Yet, these trends shifted during the COVID-19 pandemic; young adults were more likely to move during COVID-19 for reasons related to reducing disease transmission and fewer educational and job opportunities. Few studies have documented the individual and neighborhood characteristics of young adults who moved before and during the pandemic. We used data from a cohort of young adults aged 18-34 in six metropolitan areas to examine individual- and neighborhood-level predictors of mobility before and during the COVID-19 pandemic. The sample was majority female, white, and educated with a bachelor's degree or more. Residents in neighborhoods they lived in were mostly White, US-born, employed, and lived above the poverty level. Before the pandemic, identifying as a sexual minority was significantly related to mobility. During the pandemic, being younger, single, and non-Hispanic were significantly related to mobility. Higher neighborhood poverty was significantly related to mobility before and during the COVID-19 pandemic. Future studies that examine young adult populations who moved during the pandemic are needed to determine whether COVID-19 related moves increase economic instability and subsequent health-related outcomes.