Dissecting Turkey’s “Hidden War”: a Discussion of Turkey’s Conflict with its Kurdish Minority and the Securitisation Measures surrounding Violence in Northern Syria and Southern Turkey
Bibliographic record
Abstract
Turkey has been fighting a war against the ethnic minority Kurds in the east of its territory, and refusing to support the Kurds that are fighting ISIS/Daesh in northern Syria and Iraq. This essay intends to uncover, via a securitisation process, the motivations behind Turkey's domestic and external responses to the Kurdish conflicts. As well, the essay wants to show that Turkey's responses have a profound impact on the international community, with much stronger political effects on Turkey's geographical neighbours.By analysing primary documents, as well as examining experiences from those who have traveled to the region and work closely with Kurds and Turks, this essay will shape a picture of the messy relations between the actors involved in the Syrian conflict, and showing how each political action must be weighed carefully in order to maintain power balances.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".