<|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:"Intergenerational proximity and the residential relocation of older people to care institutions and elsewhere."
Abstract:"We investigated the extent to which the geographic proximity of adult children affected the relocations of older people in the Netherlands in 2008. A major contribution of this study is the examination of the differentiation between relocation to care institutions and elsewhere. Data from the Dutch population register linked to complementary datasets were analysed for nearly one million inhabitants aged 75 and above, using multinomial logistic regression models to estimate the effects of intergenerational proximity and of other factors on the propensity to relocate to an institution and elsewhere. An interaction of proximity with partnership status as an indicator of the presence of an important care provider was considered. We found that older people were less likely to move elsewhere when their children were living very close by, and were more likely to do so when their children were living farther away. Having children living close was negatively associated with the likelihood of moving to a care institution. Very close proximity had an additional negative effect on the propensity of older people with a partner to relocate elsewhere whereas the negative effect was less for older people without a partner on moving elsewhere. Our findings did, however, show that (recently) widowed people were more likely to move elsewhere when their children were living more than 40 kilometres away.."
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 = [0];
Q4 = [0];
Q5 = [1];
Q6 = [1].
Intergenerational proximity and the residential relocation of older people to care institutions and elsewhere
We investigated the extent to which the geographic proximity of adult children affected the relocations of older people in the Netherlands in 2008. A major contribution of this study is the examination of the differentiation between relocation to care institutions and elsewhere. Data from the Dutch population register linked to complementary datasets were analysed for nearly one million inhabitants aged 75 and above, using multinomial logistic regression models to estimate the effects of intergenerational proximity and of other factors on the propensity to relocate to an institution and elsewhere. An interaction of proximity with partnership status as an indicator of the presence of an important care provider was considered. We found that older people were less likely to move elsewhere when their children were living very close by, and were more likely to do so when their children were living farther away. Having children living close was negatively associated with the likelihood of moving to a care institution. Very close proximity had an additional negative effect on the propensity of older people with a partner to relocate elsewhere whereas the negative effect was less for older people without a partner on moving elsewhere. Our findings did, however, show that (recently) widowed people were more likely to move elsewhere when their children were living more than 40 kilometres away.