<|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:"Extract, Datafy and Disrupt: Refugees' Subjectivities between Data Abundance and Data Disregard."
Abstract:"This paper deals with data extraction and data circulation that are at stake in refugee governmentality with a focus on the Cash Assistance Programme in Greece. It focuses on the data extraction activities which are part of the cash Assistance Programme and on the ways in which data is shared and not shared among the actors involved. It starts by critically engaging with debates on techno-humanitarianism in refugee governmentality, and it moves on by drawing attention to the constitutive dynamics between data abundance and data disregard. Then, it analyses the extent to which different actors can access and act upon the data. The second part of the article centres on the peculiar modes of subjectivation that asylum seekers are shaped by, as cards beneficiaries and techno-users. It shows that asylum seekers are both passive surfaces of data extraction and, at the same time, are object of a request to speak and to produce data and feedback about their use of the card. The paper concludes with a section about the injunction imposed on asylum seekers to act as autonomous and responsible techno-users and, at the same time, to comply with multiple spatial restrictions.."
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 = [4,5,6];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0].
Extract, Datafy and Disrupt: Refugees' Subjectivities between Data Abundance and Data Disregard
This paper deals with data extraction and data circulation that are at stake in refugee governmentality with a focus on the Cash Assistance Programme in Greece. It focuses on the data extraction activities which are part of the cash Assistance Programme and on the ways in which data is shared and not shared among the actors involved. It starts by critically engaging with debates on techno-humanitarianism in refugee governmentality, and it moves on by drawing attention to the constitutive dynamics between data abundance and data disregard. Then, it analyses the extent to which different actors can access and act upon the data. The second part of the article centres on the peculiar modes of subjectivation that asylum seekers are shaped by, as cards beneficiaries and techno-users. It shows that asylum seekers are both passive surfaces of data extraction and, at the same time, are object of a request to speak and to produce data and feedback about their use of the card. The paper concludes with a section about the injunction imposed on asylum seekers to act as autonomous and responsible techno-users and, at the same time, to comply with multiple spatial restrictions.