Gazing Toward and Beyond the Borders: Syrian Refugees and Organizations Supporting Them in Turkey
Bibliographic record
Abstract
We investigate the meanings of borders for Syrians based in Turkey and for the efforts of the civil society organizations supporting them.We look at how being placed within specific borderscapes determines Syrians' everyday lives and CSOs' activities in Istanbul and Gaziantep.The scholarly literature usually explores experiences of borders and the consequences of bordering practices for migrants, refugees, and asylum seekers while focusing solely on those of the country in which the foreigners currently reside.We point out that while people's experiences and CSOs' actions greatly depend on regulations, policies, and the implementation thereof, in this case, of the Turkish refugee regime, they also depend on people's gaze at and beyond the borders toward Syria and Western countries; they are also affected by what was, is, or could be happening on their other sides.Rather than viewing borders as static lines, we approach them as an element of borderscapes and explore how they influence people's general situation as well as their day-to-day social relations affecting their identities and group formation.We demonstrate that these borderscapes shape the processes of becoming and belonging even long after the physical border has been crossed and continually impress the work of the CSOs that provide the support in this field.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".