<|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:"Resettlement capacity assessments for climate induced displacements: Evidence from Ethiopia."
Abstract:"Climate change migration is increasing and necessitates a re-examination of resettlement planning and processes. Although evidence-based selection of host places would improve climate change resettlement outcomes, few methods for the selection of host communities exist. Consequently, the information base on which most resettlement programs select a host place is often inadequate. This article proposes an empirical methodology to assess resettlement capacity. The methodology uses a hierarchical aggregation approach, where resettlement capacity indicator values are aggregated first into sub-dimension resettlement capacity scores, then further into dimension resettlement capacity scores, and finally into an overall resettlement capacity index. The aggregation allows for the calculation of the relative importance of the different sub dimensions and the two primary dimensions - assets and conditions. Using 75 indicators and a hierarchical min-max additive approach based on a five-kilometer grid, we create an overall resettlement capacity index for Ethiopia, with and without normalizing the relevant indicators for population size. The results show significant spatial variation in resettlement capacity, and a clear difference between using the population size normalized and non-normalized indicators, particularly regarding places with very low population density. High resettlement capacity sites are scattered in central, southcentral, and northern Ethiopia, and they also occur in small clusters along southern and northwestern borders. Moderate resettlement capacity sites occur more generally all over Ethiopia. Sites with low resettlement capacity cluster in southeastern and western parts of the country. Compared to the low and moderate resettlement capacity sites, those with high resettlement capacity are endowed with human, physical, and financial capital infrastructures. In all three capacity groups, assets contribute significantly less to resettlement capacity than conditions. Sites that are prone to natural hazards, both currently and in the future, are concentrated in the western and northern tips of the country. The calculated resettlement capacity indices are robust to potential missing indicators and change in the unit of analysis. The findings of the study can be used to identify areas for more comprehensive, localized analyses to determine their suitability for resettlement.."
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 = [1,2];
Q3 = [];
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Q5 = [1];
Q6 = [1].
Resettlement capacity assessments for climate induced displacements: Evidence from Ethiopia
Climate change migration is increasing and necessitates a re-examination of resettlement planning and processes. Although evidence-based selection of host places would improve climate change resettlement outcomes, few methods for the selection of host communities exist. Consequently, the information base on which most resettlement programs select a host place is often inadequate. This article proposes an empirical methodology to assess resettlement capacity. The methodology uses a hierarchical aggregation approach, where resettlement capacity indicator values are aggregated first into sub-dimension resettlement capacity scores, then further into dimension resettlement capacity scores, and finally into an overall resettlement capacity index. The aggregation allows for the calculation of the relative importance of the different sub dimensions and the two primary dimensions - assets and conditions. Using 75 indicators and a hierarchical min-max additive approach based on a five-kilometer grid, we create an overall resettlement capacity index for Ethiopia, with and without normalizing the relevant indicators for population size. The results show significant spatial variation in resettlement capacity, and a clear difference between using the population size normalized and non-normalized indicators, particularly regarding places with very low population density. High resettlement capacity sites are scattered in central, southcentral, and northern Ethiopia, and they also occur in small clusters along southern and northwestern borders. Moderate resettlement capacity sites occur more generally all over Ethiopia. Sites with low resettlement capacity cluster in southeastern and western parts of the country. Compared to the low and moderate resettlement capacity sites, those with high resettlement capacity are endowed with human, physical, and financial capital infrastructures. In all three capacity groups, assets contribute significantly less to resettlement capacity than conditions. Sites that are prone to natural hazards, both currently and in the future, are concentrated in the western and northern tips of the country. The calculated resettlement capacity indices are robust to potential missing indicators and change in the unit of analysis. The findings of the study can be used to identify areas for more comprehensive, localized analyses to determine their suitability for resettlement.