<|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:"Exclusion and inclusion in identification: regulation, displacement and data justice."
Abstract:"Around the world, regimes of identification regulate people's interactions with state and commercial institutions. These regimes promise access to resources and entitlements, while also facilitating people's visibility to states and therefore their governability. For many, proving one's identity presents no challenge; however, it is estimated that a billion people have no official proof of identity. Meanwhile, the humanitarian sector is undergoing a transformation in which digital identity, mobile connectivity and digital finance are central features. Through a data justice lens, this paper explores customer identification regimes in two country contexts in which large displaced populations are present: Uganda and Bangladesh. The two cases reveal divergent approaches to regulating refugee identification: while Uganda's policy environment has recently become more inclusive, Bangladesh's proves to be particularly restrictive. We reflect on what these cases mean for the future development of digital identity systems by the humanitarian sector and the implications for data justice.."
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 = [4,5];
Q3 = [1];
Q4 = [0];
Q5 = [1];
Q6 = [0].
Exclusion and inclusion in identification: regulation, displacement and data justice
Around the world, regimes of identification regulate people's interactions with state and commercial institutions. These regimes promise access to resources and entitlements, while also facilitating people's visibility to states and therefore their governability. For many, proving one's identity presents no challenge; however, it is estimated that a billion people have no official proof of identity. Meanwhile, the humanitarian sector is undergoing a transformation in which digital identity, mobile connectivity and digital finance are central features. Through a data justice lens, this paper explores customer identification regimes in two country contexts in which large displaced populations are present: Uganda and Bangladesh. The two cases reveal divergent approaches to regulating refugee identification: while Uganda's policy environment has recently become more inclusive, Bangladesh's proves to be particularly restrictive. We reflect on what these cases mean for the future development of digital identity systems by the humanitarian sector and the implications for data justice.