<|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:"Migration to urban and rural destinations in post-Soviet Estonia: a multilevel event-history analysis."
Abstract:"Researchers are divided on the trends and causes of internal migration in postsocialist Central and Eastern Europe. Theories run in opposite directions: some scholars argue that increasing similarities with Western market economies are explaining the migration processes, whereas others claim that specific developments during the postsocialist socioeconomic restructuring are playing a major role. In this paper we contribute to the existing discussion by providing an analysis of personal and contextual determinants of migration to urban and rural destinations in post-Soviet Estonia. We base our study on the data of the Estonian Labour Force Survey from 1995. Our research population consists of 8480 people aged 15 years to 68 years in early 1989. We analyze the intensity of urban-bound and rural-bound migration from January 1989 to December 1994, using the techniques of multilevel event-history analysis. We show that personal characteristics (age, marital status, employment status, education, and ethnicity) and contextual factors (unemployment level and the share of ethnic minorities) are both important in shaping the intensity of migration to urban and rural destinations in post-Soviet Estonia. Although the differences in migration behaviour by demographic characteristics in Estonia are in line with universalistic explanations, the regionally varying effect of socioeconomic status on migration is specific to developments in postsocialist countries, as a result of general economic hardship during the socioeconomic transition.."
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 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1].
Migration to urban and rural destinations in post-Soviet Estonia: a multilevel event-history analysis
Researchers are divided on the trends and causes of internal migration in postsocialist Central and Eastern Europe. Theories run in opposite directions: some scholars argue that increasing similarities with Western market economies are explaining the migration processes, whereas others claim that specific developments during the postsocialist socioeconomic restructuring are playing a major role. In this paper we contribute to the existing discussion by providing an analysis of personal and contextual determinants of migration to urban and rural destinations in post-Soviet Estonia. We base our study on the data of the Estonian Labour Force Survey from 1995. Our research population consists of 8480 people aged 15 years to 68 years in early 1989. We analyze the intensity of urban-bound and rural-bound migration from January 1989 to December 1994, using the techniques of multilevel event-history analysis. We show that personal characteristics (age, marital status, employment status, education, and ethnicity) and contextual factors (unemployment level and the share of ethnic minorities) are both important in shaping the intensity of migration to urban and rural destinations in post-Soviet Estonia. Although the differences in migration behaviour by demographic characteristics in Estonia are in line with universalistic explanations, the regionally varying effect of socioeconomic status on migration is specific to developments in postsocialist countries, as a result of general economic hardship during the socioeconomic transition.