<|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:"SELECTION AND MORTALITY DIFFERENTIALS."
Abstract:"The Office of Population Censuses and Surveys Longitudinal Study provides reliable mortality data by a much wider range of characteristics than are available from other national sources. Although it is based on only a 1% sample of population, it broadens the scope of mortality analysis and permits study of changes in relationships using different aspects of the time dimension. Data from this study have emphasized the importance of selection to the interpretation and understanding of observed mortality differentials. Here that aspect of selection called health-related mobility, which is associated with the relative health of people acquiring or losing individual characteristics is focused on. For characteristics affected by health-related mobility, mortality differentials would narrow or widen with increased duration of follow-up. On the basis of this argument the contribution of health-related mobility to mortality differentials by economic position and social class, to regional differentials, and to family and household differentials is investigated. Selection can thus be shown to operate when people change economic position, when they migrate, or when they change marital status. While the effects of these selection processes an be shown to contribute to social class gradients they do not explain regional differentials and contribute only to a limited degree to differentials by marital status. Differentials by household circumstances also reflect the product of selection processes.."
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 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [1].
SELECTION AND MORTALITY DIFFERENTIALS
The Office of Population Censuses and Surveys Longitudinal Study provides reliable mortality data by a much wider range of characteristics than are available from other national sources. Although it is based on only a 1% sample of population, it broadens the scope of mortality analysis and permits study of changes in relationships using different aspects of the time dimension. Data from this study have emphasized the importance of selection to the interpretation and understanding of observed mortality differentials. Here that aspect of selection called health-related mobility, which is associated with the relative health of people acquiring or losing individual characteristics is focused on. For characteristics affected by health-related mobility, mortality differentials would narrow or widen with increased duration of follow-up. On the basis of this argument the contribution of health-related mobility to mortality differentials by economic position and social class, to regional differentials, and to family and household differentials is investigated. Selection can thus be shown to operate when people change economic position, when they migrate, or when they change marital status. While the effects of these selection processes an be shown to contribute to social class gradients they do not explain regional differentials and contribute only to a limited degree to differentials by marital status. Differentials by household circumstances also reflect the product of selection processes.