Navigating Wait Space in Uncertain Times: Young Women and Precarious Labour in Turkey
Bibliographic record
Abstract
Abstract Despite dramatic increases in university graduates over the last 30 years, unemployment rates among youth with advanced education in Turkey remain some of the highest in the world. With levels of unemployment among university graduates almost equal that of high school graduates, the promise of social mobility and formal waged work that higher education once promised, no longer holds credibility. Many young people, instead find themselves in waithood—a state characterised by uncertainty, joblessness, and obstacles to independent adulthood. Studies tend to view waithood temporally as a period of indeterminacy and frustrated futures, but we argue, waithood also encompasses spatial dimensions that are liberatory in so far as they communicate a demand for a liveable life. Examining how young women in Turkey navigate both the state’s conservative politics, and restricted employment opportunities, we use the term “wait space” to capture what an attentiveness to the intimate connection between space and time and work offers to our understanding of the politics and possibilities of work beyond the wage.
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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 | 0.004 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".