<|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:"Racialised dissatisfaction: homelessness management and the everyday assemblage of difference."
Abstract:"Faced with increased waves of refugees, economic migrants and internal vulnerable groups, the challenge for the contemporary European city is to welcome, assist and manage these populations in ways capable of fostering a positive and productive articulation of difference. The paper tackles this issue by investigating the ways in which difference is perceived, negotiated and performed among Italian and migrant homeless people in Turin, Italy. Through the presentation of detailed ethnographic material, the paper proposes a processual and affective take on the everyday assemblage of race and it questions the role of normative spaces in its making. The notion of racialised dissatisfaction is advanced in this sense, signalling how street-level racism among the homeless poor is deeply connected to the broader machinery of homelessness management and the material and affective components of life on the street. Despite its contextualised ethnographic nature, the paper offers insights that encompass the analysed case and advance our theoretical and empirical understanding of everyday life at the urban margins.."
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 = [3];
Q3 = [1];
Q4 = [0];
Q5 = [];
Q6 = [0].
Racialised dissatisfaction: homelessness management and the everyday assemblage of difference
Faced with increased waves of refugees, economic migrants and internal vulnerable groups, the challenge for the contemporary European city is to welcome, assist and manage these populations in ways capable of fostering a positive and productive articulation of difference. The paper tackles this issue by investigating the ways in which difference is perceived, negotiated and performed among Italian and migrant homeless people in Turin, Italy. Through the presentation of detailed ethnographic material, the paper proposes a processual and affective take on the everyday assemblage of race and it questions the role of normative spaces in its making. The notion of racialised dissatisfaction is advanced in this sense, signalling how street-level racism among the homeless poor is deeply connected to the broader machinery of homelessness management and the material and affective components of life on the street. Despite its contextualised ethnographic nature, the paper offers insights that encompass the analysed case and advance our theoretical and empirical understanding of everyday life at the urban margins.