<|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:"Language acquisition, unemployment and depressive disorder among Southeast Asian refugees: a 10-year study."
Abstract:"The current study examines the risk-inducing effects of unemployment and the protective effects of language facility on the mental health of Southeast Asian refugees resettling in Canada. Rates of depression and of unemployment declined dramatically during the first decade after arrival. Although language fluency also improved during this period, approximately 8% of the sample spoke no English even after 10 years in the country. Initial depression was a strong predictor of subsequent depression. For males, job experience in Canada was the strongest predictor of subsequent employment whereas, for women, depression proved an important predictor of employability. For men in particular, unemployment was a potent risk factor for depression. During the initial period of resettlement, English-speaking ability had no effect on depression or on employment. However, by the end of the first decade in Canada, English language fluency was a significant predictor of depression and employment, particularly among refugee women and among people who did not become engaged in the labor market during the earliest years of resettlement. Study results demonstrate that the mental health salience of risk and protective factors changes according to the phase of resettlement. (C) 2001 Elsevier Science Ltd. All rights reserved.."
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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. 

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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 = [];
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Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
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Q6 = [1].
Language acquisition, unemployment and depressive disorder among Southeast Asian refugees: a 10-year study
The current study examines the risk-inducing effects of unemployment and the protective effects of language facility on the mental health of Southeast Asian refugees resettling in Canada. Rates of depression and of unemployment declined dramatically during the first decade after arrival. Although language fluency also improved during this period, approximately 8% of the sample spoke no English even after 10 years in the country. Initial depression was a strong predictor of subsequent depression. For males, job experience in Canada was the strongest predictor of subsequent employment whereas, for women, depression proved an important predictor of employability. For men in particular, unemployment was a potent risk factor for depression. During the initial period of resettlement, English-speaking ability had no effect on depression or on employment. However, by the end of the first decade in Canada, English language fluency was a significant predictor of depression and employment, particularly among refugee women and among people who did not become engaged in the labor market during the earliest years of resettlement. Study results demonstrate that the mental health salience of risk and protective factors changes according to the phase of resettlement. (C) 2001 Elsevier Science Ltd. All rights reserved.