<|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:"Place plus Race Effects in Bureaucratic Discretionary Power: An Analysis of Residential Segregation and Police Stop Decisions."
Abstract:"Discrepancies in bureaucrat behavior, residential segregation, and police stops that turn deadly have spurred critical analysis surrounding who gets stopped by the police and what happens once they get stopped. This study considers the effect of officers' decision when performing vehicle stops and conducting vehicle or person searches, as measured at the block group level in Minneapolis neighborhoods. This research is one of the few empirical studies within public administration which examines police stop decisions during vehicle stops in segregated areas, and one of the few empirical studies that explores police actions toward immigrants. We find that majority African American areas of high segregation have 40% more vehicle or person searches than other parts of the city. Second, we find that in predominately African American areas with growing pockets of East African immigrant areas will be subject to 50% more vehicle and person searches. These results indicate that Black (whether native or foreign born) populations of people are more likely to have investigatory interactions with police officers.."
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 = [5,6];
Q3 = [1];
Q4 = [0];
Q5 = [1];
Q6 = [1].
Place plus Race Effects in Bureaucratic Discretionary Power: An Analysis of Residential Segregation and Police Stop Decisions
Discrepancies in bureaucrat behavior, residential segregation, and police stops that turn deadly have spurred critical analysis surrounding who gets stopped by the police and what happens once they get stopped. This study considers the effect of officers' decision when performing vehicle stops and conducting vehicle or person searches, as measured at the block group level in Minneapolis neighborhoods. This research is one of the few empirical studies within public administration which examines police stop decisions during vehicle stops in segregated areas, and one of the few empirical studies that explores police actions toward immigrants. We find that majority African American areas of high segregation have 40% more vehicle or person searches than other parts of the city. Second, we find that in predominately African American areas with growing pockets of East African immigrant areas will be subject to 50% more vehicle and person searches. These results indicate that Black (whether native or foreign born) populations of people are more likely to have investigatory interactions with police officers.