Competitive Securitization in Civil-Military Relations: Internal Threats and Civil-Military Power Dynamics in Turkey, 1980-2016
Bibliographic record
Abstract
Civil-military relations (CMR) theory often holds that internal threat reduces civil control.However, this is not always the case: Turkey, which faced constant internal threats between 1980 and 2016, saw several periods of increasing civil control, particularly under President Özal (1989-1993) and the AKP after 2002.This study proposes that 'competitive securitization' between civil and military authorities explains these disparities in civil-military outcomes.In this framework, internal threat itself does not decreases civil control.Rather, civilian and military agents each 'securitize' internal threats, legitimizing measures that shift the civil-military balance-of-power in their favour.Where military securitization is more successful, civil control decreases, and vice-versa for civilians.This study applies this framework to eight key periods in Turkish CMR between 1980 and 2016.It finds that, with the exception of the early 2000s when EU accession dominated CMR dynamics, 'competitive securitization' provides a strong explanation for changes in Turkey's civil-military balance-of-power.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".