Vocational Training: International Perspectives – Edited by Gerhard Bosch and Jean Charest
Bibliographic record
Abstract
This comprehensive volume edited by Gerhard Bosch and Jean Charest provides an excellent overview of the state of affairs in selected vocational training systems around the globe.The volume contains detailed and well-researched case studies on developments in Australia, Canada, Denmark, France, Germany, Korea, Mexico, Morocco, the United Kingdom and the USA.Its broad coverage of cases, moving beyond the 'usual suspects' by including developing and newly industrialized countries, is certainly one of the strong points of the book.Furthermore, the editors adopt a broader perspective on training by encouraging the contributors to take into account the links between vocational training and general education, further training and the labour market (pp.11-21).This broader perspective on vocational training often also includes discussions on the role of the social partners and industrial relations as institutional factors supporting collective forms of skill formation such as apprenticeship training.Some individual chapters also look at the role of the state and consequences of changes in the partisan orientation of government (e.g. the chapter by Wiborg and Cort on Denmark and the chapter by Rainbird on the UK).Most country chapters are concerned with recent developments, i.e. during the last one or two decades.Some go back to the 1970s and 1980s, but generally not further back than that.The broad message of the book is developed more implicitly than explicitly stated (however, see p. 22 in the introduction).Clearly, vocational training systems face different challenges and develop in different directions.In the developing and newly industrialized countries, policy makers are mostly concerned with expanding 811 Konstanzer Online-Publikations-System (KOPS)
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.018 | 0.009 |
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".