Bibliographic record
Abstract
La décentralisation de la formation professionnelle initiale a donné lieu, dans le contexte français, à la mise sur pied de dispositifs collaboratifs d’aide à la décision, au sein desquels l’équipement statistique joue un rôle central. Menée dans deux régions, une enquête sur la production des cartes de formations donne cependant à voir que certains objectifs scolaires nationaux (« absorber le vivier d’élèves ») continuent à l’emporter sur les enjeux professionnels de la production locale des compétences. En régime de croisière, la régulation territoriale s’attache davantage à la gestion des places qu’à la définition des contenus et des objectifs de formation. Dans une conjoncture de rigueur budgétaire, la réforme du bac professionnel illustre avec plus d’acuité encore les difficultés de la régionalisation substantielle des politiques de formation. La hiérarchisation des instruments reflète ainsi les concurrences institutionnelles en vigueur.
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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.017 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.022 | 0.003 |
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".