Crossing Borders: Turkish Asylum Policies and Displaced Syrians’ Journeys in and away from Turkey
Bibliographic record
Abstract
In recent years, economic, political and ecological crises throughout the world have created a monumental human flux, forming new migratory routes, spaces and challenges. As a result of these movements, distinct geographical, political, and social borders are formed and crossed, giving life to unique journeys with distinct stories. The current paper presents observations from field research and a creative expression intervention (conducted in 2015–2016) with Syrian displaced people in Turkey to illustrate the mutual relationship between Turkish asylum policies and the movements of Syrian migrants in and away from Turkey. It unpacks three different routes to contextualize the ways in which the availability and the characteristics of labour shape the mobility of displaced Syrians in Turkey. In examining the movements of people and communities through the lens of political and economic dynamics, the paper argues that displaced Syrians’ mobility is largely shaped by Turkish refugee policies, which deny migrants access to legal work and condemn them to vulnerability and destitution.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.008 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".