Baudelot Christian & Leclercq François (dir.), avec la collaboration de Armand Chatard, Boris Gorille & Elena Satchkova. Les effets de l’éducation : rapport à l’intention du PIREF [Programme incitatif de recherche en éducation et formation (France)]
Bibliographic record
Abstract
Disons le tout de suite : cet ouvrage de près de 400 pages denses est une somme très réussie. Elle va vite s’avérer incontournable pour qui veut traiter de l’impact social, économique et politique de l’éducation. Trois raisons majeures convergent en ce sens : – l’analyse fouillée d’une très vaste littérature internationale, anglo-saxonne principalement, qui n’est que très partiellement disponible en français ; – l’adoption d’un point de vue multi-disciplinaire qui s’efforce d’apprécier la por...
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.088 | 0.026 |
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".