<|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:"Gender differences in second language proficiency-Evidence from recent humanitarian migrants in Germany."
Abstract:"In this paper, we address gender differences in the host language proficiency of humanitarian migrants. Prior research has produced inconclusive results with regard to women's host language proficiency relative to that of men: sometimes women's proficiency exceeds that of men, sometimes women lag behind men, and sometimes there are no substantial differences. Using data on recent humanitarian migrants in Germany, we investigate factors contributing to similarities and differences in men's and women's language proficiency. We consider gender differences with respect to the family-related factors: marital status, children's ages and children's childcare situations are important for women but not for men. These findings point to the continued relevance of a gendered division of work. It also becomes clear that gendered role expectations are particularly consequential for mothers and wives. Moreover, we find evidence that women are more efficient learners than men are, while they have fewer learning opportunities than men.."
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 = [6,7];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1].
Gender differences in second language proficiency-Evidence from recent humanitarian migrants in Germany
In this paper, we address gender differences in the host language proficiency of humanitarian migrants. Prior research has produced inconclusive results with regard to women's host language proficiency relative to that of men: sometimes women's proficiency exceeds that of men, sometimes women lag behind men, and sometimes there are no substantial differences. Using data on recent humanitarian migrants in Germany, we investigate factors contributing to similarities and differences in men's and women's language proficiency. We consider gender differences with respect to the family-related factors: marital status, children's ages and children's childcare situations are important for women but not for men. These findings point to the continued relevance of a gendered division of work. It also becomes clear that gendered role expectations are particularly consequential for mothers and wives. Moreover, we find evidence that women are more efficient learners than men are, while they have fewer learning opportunities than men.