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Vocational Training: International Perspectives – Edited by Gerhard Bosch and Jean Charest

2010· article· en· W2153279412 on OpenAlexaboutno aff
Marius R. Busemeyer

Bibliographic record

VenueBritish Journal of Industrial Relations · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsVocational educationCitationLibrary scienceJörgSociologyManagementArt historyHistoryComputer scienceEconomicsPedagogy

Abstract

fetched live from OpenAlex

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

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.268
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.064
GPT teacher head0.348
Teacher spread0.284 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

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