<|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:"The temporal variation of ethnic segregation in a city: Evidence from a mobile phone use dataset."
Abstract:"The aim of this study is to determine the temporal variation of ethnic segregation in the city of Tallinn, the capital of Estonia. We employ data on mobile-phone use to compare variations in segregation indices during the day, the week, and the year. The results indicate that the locations of people are more segregated at night, with considerably less segregation during the daytime. The segregation is significantly lower on workdays compared to weekends. Segregation is also lower during summer holidays compared to the winter working period. The results show that although places of residence are segregated, different ethnic groups use the city together during the day, which increases the potential for interethnic contacts. The results demonstrate also that temporal segregation indices based on mobile-phone use are considerably lower than segregation indices of places of residence that are derived from the census. (C) 2014 The Authors. Published by Elsevier Inc.."
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 = [0];
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Q5 = [0];
Q6 = [1].
The temporal variation of ethnic segregation in a city: Evidence from a mobile phone use dataset
The aim of this study is to determine the temporal variation of ethnic segregation in the city of Tallinn, the capital of Estonia. We employ data on mobile-phone use to compare variations in segregation indices during the day, the week, and the year. The results indicate that the locations of people are more segregated at night, with considerably less segregation during the daytime. The segregation is significantly lower on workdays compared to weekends. Segregation is also lower during summer holidays compared to the winter working period. The results show that although places of residence are segregated, different ethnic groups use the city together during the day, which increases the potential for interethnic contacts. The results demonstrate also that temporal segregation indices based on mobile-phone use are considerably lower than segregation indices of places of residence that are derived from the census. (C) 2014 The Authors. Published by Elsevier Inc.