<|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:"Return to the countryside: The return intentions of highly educated young people in the Akmola province of northern Kazakhstan."
Abstract:"The rural out-migration of young people leads to problems such as brain drain and the overageing of the rural population. The purpose of this paper is to study return migration motives among students originating from rural areas. The case study relates to the province of Akmola, northern Kazakhstan. Based on data collected from college and university students (n = 357), a binary logistic regression model is used to identify rural return motives. Noneconomic and economic motives are equally important in forming a return intention. Our findings do not suggest that particularly underperforming students intend to return. As expected, compared with those in major cities, students who study in a regional town intend to return more often. We also found a large difference in return intentions along ethnic lines. Students of non-Kazakh decent are much more likely to return than ethnic Kazakhs, and the two ethnic groups have quite distinct motives indicating signs of ethnic discrimination against non-Kazakhs in the job market.."
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 = [3,6];
Q3 = [1];
Q4 = [0];
Q5 = [1];
Q6 = [1].
Return to the countryside: The return intentions of highly educated young people in the Akmola province of northern Kazakhstan
The rural out-migration of young people leads to problems such as brain drain and the overageing of the rural population. The purpose of this paper is to study return migration motives among students originating from rural areas. The case study relates to the province of Akmola, northern Kazakhstan. Based on data collected from college and university students (n = 357), a binary logistic regression model is used to identify rural return motives. Noneconomic and economic motives are equally important in forming a return intention. Our findings do not suggest that particularly underperforming students intend to return. As expected, compared with those in major cities, students who study in a regional town intend to return more often. We also found a large difference in return intentions along ethnic lines. Students of non-Kazakh decent are much more likely to return than ethnic Kazakhs, and the two ethnic groups have quite distinct motives indicating signs of ethnic discrimination against non-Kazakhs in the job market.