<|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:"A corpus-driven analysis of representations of Syrian asylum seekers in the Turkish press 2011-2016."
Abstract:"This article, using methods from corpus linguistics and critical discourse analysis, reports the findings of a research project that aimed to explore the representations of Syrian asylum seekers in the Turkish press from March 2011, when the first Syrians arrived in Turkey, to December 2015, when the project ended. Using a corpus of 2321 texts collected from five Turkish daily newspapers, concordances of the words Syrian, refugee and asylum seeker were examined and grouped along patterns through which discourses on and around Syrian asylum seekers were uncovered. We found differing discourses that framed asylum seekers as 'our brothers', 'victims', 'needy people' and/or 'threat', 'criminals' and so on. Newspapers maintained one or a combination of these discourses to construct their own reality about the refugee crisis in Turkey. The analysis also reveals that Turkish newspapers use pertinent terms interchangeably, leading to an ambiguity which reflects the political as well as daily usage of the terms.."
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 = [];
Q4 = [0];
Q5 = [];
Q6 = [0].
A corpus-driven analysis of representations of Syrian asylum seekers in the Turkish press 2011-2016
This article, using methods from corpus linguistics and critical discourse analysis, reports the findings of a research project that aimed to explore the representations of Syrian asylum seekers in the Turkish press from March 2011, when the first Syrians arrived in Turkey, to December 2015, when the project ended. Using a corpus of 2321 texts collected from five Turkish daily newspapers, concordances of the words Syrian, refugee and asylum seeker were examined and grouped along patterns through which discourses on and around Syrian asylum seekers were uncovered. We found differing discourses that framed asylum seekers as 'our brothers', 'victims', 'needy people' and/or 'threat', 'criminals' and so on. Newspapers maintained one or a combination of these discourses to construct their own reality about the refugee crisis in Turkey. The analysis also reveals that Turkish newspapers use pertinent terms interchangeably, leading to an ambiguity which reflects the political as well as daily usage of the terms.