Bibliographic record
Abstract
Comment réformer l’école ? En fonction de quelles idées, de quelles visées et en mobilisant quels moyens et quels instruments ? Répondre à ces questions est complexe tant les inerties sont grandes, les acteurs nombreux et les chemins à emprunter tortueux. L’ouvrage explore ces chemins en s’interrogeant sur les processus de fabrication des politiques éducatives, en lien avec les idées et intérêts des acteurs qui les façonnent, mais aussi avec les institutions dans lesquelles leur action se développe. Il présente des cas nationaux variés — France, Suisse, Belgique, Albanie, Québec — dans la perspective d’identifier les processus communs et les spécificités de chacun. Ils interrogent les logiques d’action et les stratégies des acteurs, les référentiels sur lesquels ils s’appuient et le poids des institutions dans lesquelles les politiques s’inscrivent.
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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.014 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.033 | 0.004 |
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".