‘Am I a terrorist or an educator?’ Turkish asylum seekers narratives on education rights violations after a crackdown following the 2016 failed coup attempt in Turkey
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Democratisation in Turkey collapsed in the wake of the 2016 failed military coup and the crackdown that followed, with President Recep Tayyip Erdoğan launching a widespread rollback of academic and other liberties, systematically purging civic institutions of political opponents and critics that significantly harmed intellectuals, students, and educational rights. This paper analyses the narratives of Turkish citizens who were prosecuted, dismissed, abused, tortured, victimised, and imprisoned during the State of Emergency (OHAL) initiated after the failed coup attempt in July 2016. This narrative approach examines the transcripts of in-depth interviews about the experiences and critical life stories of 20 individuals now living in the United States, Canada, and Europe. Also included are field notes and documents that reveal the authorities’ violations of their educational human rights. These included the denial of education, unwarranted dismissal, elimination of academic freedom of thought, and harassment of academics and their children. Such violations have created a brain drain of educators fleeing the country. These deleterious changes in the Turkish education system have had severe social and political effects and have produced an education system that fails to meet the country’s needs, which, if not remediated, will ripple through the generations, dimming the nation’s future.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it