Des modèles de formation professionnelle d'origine étrangère à l'épreuve des spécificités sociétales marocaines : une application au secteur de l'artisanat
Bibliographic record
Abstract
The present system of vocational training in Morocco is an assembly of models and categories of policy making largely inspired from different countries of the OECD. If the choice of the scholar vocational training has its origin in the common history of both countries, the introduction of other models (dual and vocational training inspired from Germany and Belgium) constructs a composite configuration that results from a socio-political process. These two models are based on an other conception of the regulation of the vocational training-employment relationship, in term of "occupational market" that implies that the Moroccan enterprises should participate actively in the production of skills and qualifications. This institutional setting is structured by the rules of the school-enterprise alternating, what distinguishes this formula of the model of the traditional apprenticeship. The application of the Canadian Competency-Based-Education is linked to an other design of the coordination between training centers and workshops. In Morocco the handcraft is anchored in a multi-centuries l tradition; so it is a relevant way for analyzing this complex configuration. This choice is justified by the fact it allows to confront the "modern" devices of vocational training to the traditional on the job training. So it is possible to reveal the result of co-existence between foreign models and traditional ways to produce the skills.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.010 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".