The politics of student loan in Turkey: regimenting the youth through <i>authoritarian debtfarism</i>
Bibliographic record
Abstract
The mass-scale expansion of student loan schemes in Turkey over the last two decades has been accomplished by a governance technique which the article defines as authoritarian debtfarism. By restructuring the Credit and Dormitories Institution (KYK) as subordinated to the executive and insulated from democratic intervention, the authoritarian neoliberal state in Turkey has sought to fulfil its new economic function, i.e. enabling the societal reproduction of the youth by increasing their financial dependency on credit money. The state-led student loan expansion in Turkey emerged in a tuition-free higher education setting without a sophisticated financial infrastructure and in an economic environment marked with perpetual graduate unemployment as well as inflationary pressures on repayment amounts. Based on a detailed interrogation of the official documents and in-depth interviews with defaulters, this article argues that authoritarian debtfarism has imposed a rigid market discipline over the university youth by using non-transparency and arbitrariness as its governance mechanisms. Consequently, future labour of the graduates is put on hold through a long-term debt relation, compelling them to integrate into labour market precariously as a new segment of the relative surplus population.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".