On Merve Sancak’s Institutions, Skills, Production Regimes and the Near Periphery, Oxford, Oxford University Press, 2022
Bibliographic record
Abstract
Correspondence: [email protected] A leading scholar on the political economy of skill formation, Kathleen Thelen once noted that focusing on vocational training may not be the ‘most scintillating’ topic for some social scientists (Thelen, 2004, p. xi). Sancak’s book begs to differ. This is a very timely contribution to existing debates, given the limited number of studies that problematize vocational education policies in the Global South. Importantly, the book provides a multilayered study of training systems in two emerging markets: Mexico and Turkey. These economies have built ever closer ties with the global value chains over the last few decades. Especially in the ambit of automobile production, the demand for skilled labor in both countries has increased. In response to these pressures, Sancak finds that a lack of coordinated public investment in vocational education in Mexico has led to sub-optimal growth performance while Turkey has built a system that is characterized by strong state involvement in skill formation, leading to an inclusive growth trajectory.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".