La construction des relations entre économie et éducation : l'exemple de la formation en alternance
Bibliographic record
Abstract
La construction des relations entre économie et éducation : l’exemple de la formation en alternance Au cours des dernières années, nous avons assisté à la mise en œuvre de multiples modifications au sein du système scolaire, visant explicitement un rapprochement entre les institutions de formation professionnelle et le champ économique. Un travail explicite sur les processus de planification de la formation professionnelle, les modes de transmission éducative et les modes d’intervention des institutions de formation est réalisé afin, dit-on, d’assurer une plus grande adéquation des programmes avec les compétences utilisées en milieux de travail. Dans ces circonstances, il devient intéressant de comprendre comment se construit ce rapprochement. Le présent article s’attelle à cet exercice de compréhension d’un des thèmes majeurs de l’agenda éducatif récent que nous examinons en reprenant l’analyse de l’institutionnalisation des formations en alternance, qui participe du mouvement d’ensemble, dans deux sociétés différentes, le Québec et la Communauté francophone de Belgique.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.032 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".