<|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:"Labour market participation of Sub-Saharan Africans in the Netherlands: the limits of the human capital approach."
Abstract:"This paper focuses on the labour disparities between Sub-Saharan African immigrants in the Netherlands, a hitherto undescribed ethnic group, and the native Dutch population. Using unique data with nationwide coverage, the analysis reveals that the labour market position of Sub-Saharan Africans displays an exceptionally large disparity with the native Dutch, compared with discrepancies found in previous research on other immigrant groups. The outcomes also show great differences across the Sub-Saharan groups with Cape Verdeans and South Africans deviating the least from the native Dutch, Ghanaians occupying an intermediate position, while people from Somalia, Eritrea, Congo, Sudan and Sierra Leone are in the worst position. Most importantly, we found that the conventional human capital model does not account for much of the disparity between Sub-Saharan Africans and the native Dutch, even when the model is expanded with language proficiency as an additional variable. Considering these findings, we suggest that alternative explanations, such as society of origin, the operation of norm images and ethnic concentration in specific sectors impeding mobilities should be researched further.."
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 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1].
Labour market participation of Sub-Saharan Africans in the Netherlands: the limits of the human capital approach
This paper focuses on the labour disparities between Sub-Saharan African immigrants in the Netherlands, a hitherto undescribed ethnic group, and the native Dutch population. Using unique data with nationwide coverage, the analysis reveals that the labour market position of Sub-Saharan Africans displays an exceptionally large disparity with the native Dutch, compared with discrepancies found in previous research on other immigrant groups. The outcomes also show great differences across the Sub-Saharan groups with Cape Verdeans and South Africans deviating the least from the native Dutch, Ghanaians occupying an intermediate position, while people from Somalia, Eritrea, Congo, Sudan and Sierra Leone are in the worst position. Most importantly, we found that the conventional human capital model does not account for much of the disparity between Sub-Saharan Africans and the native Dutch, even when the model is expanded with language proficiency as an additional variable. Considering these findings, we suggest that alternative explanations, such as society of origin, the operation of norm images and ethnic concentration in specific sectors impeding mobilities should be researched further.