Bibliographic record
Abstract
This book explores the asylum journey of non-European asylum applicants who seek asylum in Turkey before resettling in Canada with the aid of the Canadian government’s assisted resettlement programme. Based on ethnographic research among Syrian, Afghan, Eritrean, Ethiopian, Iraqi, Iranian, Somali, Sudanese and Congolese nationals it considers the interactions of asylum seekers with both UNHCR’s refugee status determination and Canada’s refugee resettlement programme. With attention to the practices of migrants, the author shows how the asylum journey contains both mobility and stasis and constitutes a micro-political image of the fluidity and relativity of attributed identities and labels on the part of state migration systems. A multi-sited ethnography that shows how the migration journey is linked to the production and reproduction of knowledge, as well as the diffusion of produced knowledge among past, present, and future asylum seekers who form trans-local social networks in the course of their route, in Turkey, and in Canada. Tracing Asylum Journeys will appeal to sociologists and political scientists with interests in migration and transnational studies, and refugee and asylum settlement.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".