From "Criminal Citizens" to "Traitors": The Last of the Kurdish Bandits in Modern Turkey, 1950–1970
Bibliographic record
Abstract
Abstract: The mass banditry that emerged in Turkey's Kurdish regions between 1950 and 1970 was labelled a "national problem" in state discourse. Banditry and bandits were thus an integral part of the Turkish nation-state building process and the politico-moral economy of the region. Turkish state policies with regard to banditry, after the transformation of bandits from "criminal citizens" into "traitors" in state discourse, culminated in massive military operations to disarm and suppress the peoples of these regions. This last period of Kurdish banditry, the result of the destabilization of traditional Kurdish society, was a source of political contention between the state elite and Kurdish communities. Abstract: Le banditisme de masse qui a émergé dans les régions kurdes de la Turquie entre 1950 et 1970 a été qualifié de « problème national » dans le discours de l'État. Par conséquent, ce phénomène et les bandits faisaient partie intégrante du processus de construction de l'État-nation turc et de l'économie politico-morale de la région. Les politiques de l'État en matière de brigandage, après avoir fait passer les bandits du statut de « citoyens criminels » à celui de « traîtres » dans son discours, ont culminé avec des opérations militaires de grande envergure visant à désarmer et à opprimer les populations de ces régions. Cette dernière période de brigandage, résultat de la déstabilisation de la société kurde traditionnelle, a été une source de contentieux politique entre l'élite étatique et les communautés kurdes.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".