<|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:"Historical Roots of Generalized Trust in Polish Society."
Abstract:"The article analyses how historical events shape generalized trust in contemporary Polish society. The analysis consists of a set of logistic regression models. The impact of historical variables is controlled for age, sex, education and the size of the municipality. This is the first quantitative study on Poland that links historical events with the current levels of trust among Polish citizens. The common knowledge is that the Partitions of Poland had negative impact on trust. Literature on the topic hints that historical demographics should play a role too. The findings suggest that Partitions had little impact with only Greater Poland and Pomerania having lower levels of generalized trust. Historical literacy rate and the presence of Ukrainian or Belarusian population are negatively associated with generalized trust while the abrupt migrations after the World War I are positively associated. The rapid character of migration is supposed to positively impact generalized trust by forcing individuals to cooperate and rely on people with whom they have no personal ties.."
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 = [6];
Q3 = [0];
Q4 = [0];
Q5 = [];
Q6 = [1].
Historical Roots of Generalized Trust in Polish Society
The article analyses how historical events shape generalized trust in contemporary Polish society. The analysis consists of a set of logistic regression models. The impact of historical variables is controlled for age, sex, education and the size of the municipality. This is the first quantitative study on Poland that links historical events with the current levels of trust among Polish citizens. The common knowledge is that the Partitions of Poland had negative impact on trust. Literature on the topic hints that historical demographics should play a role too. The findings suggest that Partitions had little impact with only Greater Poland and Pomerania having lower levels of generalized trust. Historical literacy rate and the presence of Ukrainian or Belarusian population are negatively associated with generalized trust while the abrupt migrations after the World War I are positively associated. The rapid character of migration is supposed to positively impact generalized trust by forcing individuals to cooperate and rely on people with whom they have no personal ties.