<|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:"Deskilling and reskilling of political refugees in the Republic of Korea: an actor-network analysis."
Abstract:"This qualitative case study applied the actor-network theory to trace the deskilling and reskilling of political refugees in the Republic of Korea. The investigation revealed that refugees' skills could be interpreted as network effects that emerge through heterogeneous networks of colleges, workplaces and social activism. These linkages continuously dismantle and reconverge as they go through exile. The constraints of the refugee recognition process and the legal status accorded to refugees often hinder the utilising of their skills in Korea. Even after gaining recognition, transferring credentials, work experience, and expertise as social activists is challenging and riddled with constant disruptions for refugees. Meanwhile, they imbibe varied wisdom, including implicit cultural knowledge and vocational skills in new domains, as they work as day labour, assist volunteers, take on new hobbies and perform volunteer activities. Initially, such learning does not appear to be relevant to reskilling. However, when refugees encounter appropriate human or non-human intermediaries, the knowledge 'patched' into their skill networks converges into job-specific skills. This study traced the skills of refugees to elucidate the significance of non-human actors and the integration of discrete learning sources during the deskilling and reskilling process experienced by refugees.."
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 = [5];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [0].
Deskilling and reskilling of political refugees in the Republic of Korea: an actor-network analysis
This qualitative case study applied the actor-network theory to trace the deskilling and reskilling of political refugees in the Republic of Korea. The investigation revealed that refugees' skills could be interpreted as network effects that emerge through heterogeneous networks of colleges, workplaces and social activism. These linkages continuously dismantle and reconverge as they go through exile. The constraints of the refugee recognition process and the legal status accorded to refugees often hinder the utilising of their skills in Korea. Even after gaining recognition, transferring credentials, work experience, and expertise as social activists is challenging and riddled with constant disruptions for refugees. Meanwhile, they imbibe varied wisdom, including implicit cultural knowledge and vocational skills in new domains, as they work as day labour, assist volunteers, take on new hobbies and perform volunteer activities. Initially, such learning does not appear to be relevant to reskilling. However, when refugees encounter appropriate human or non-human intermediaries, the knowledge 'patched' into their skill networks converges into job-specific skills. This study traced the skills of refugees to elucidate the significance of non-human actors and the integration of discrete learning sources during the deskilling and reskilling process experienced by refugees.