Vocational Training: International Perspectives
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
List of Illustrations Acknowledgements Chapter One: Vocational Training: International Perspectives Gerhard Bosch and Jean Charest Chapter Two: Vocational Education and Training in Australia: The Evolution of a Segmented Training System Richard Cooney and Michael Long Chapter Three: Vocational Training in Canada: The Poor Second Cousin in a Well-Educated Family Jean Charest and Ursule Critoph Chapter Four: The Vocational Education and Training System in Denmark: Continuity and Change Susanne Wiborg and Pia Cort Chapter Five: Vocational Training in France: Towards a New 'Vocationalism'? Philippe Mehaut Chapter Six: The Revitalization of the Dual System of Vocational Training in Germany Gerhard Bosch Chapter Seven: The Transformation of the Government-led Vocational Training System in Korea Jin Ho Yoon and Byung-Hee Lee Chapter Eight: The Vocational Training System in Mexico: Characteristics and Actors, Strengths and Weaknesses Arnulfo Arteaga Garcia, Sergio Sierra Romero and Roberto Flores Lima Chapter Nine: Vocational Training in Morocco: Social and Economic Issues for the Labour Market Brahim Boudarbat and Mehdi Lahlou Chapter Ten: Vocational Education and Training in the United Kingdom Helen Rainbird Chapter Eleven: The Vocational Education and Training System in the United States Thomas Bailey and Peter Berg Contributors References Index
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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 it