Analyse critique des indicateurs déterminant l’attribution des moyens destinés à la politique de discrimination positive en Communauté française de Belgique
Bibliographic record
Abstract
Le système éducatif de la Communauté française de Belgique, comme d’autres, a connu différentes étapes dans son évolution vers plus de justice dans l’attribution des moyens humains et financiers. Un décret récent (1998) définit la politique de discrimination positive qui est entrée en vigueur dans les établissements scolaires lors de la rentrée 2000-2001. Ce décret prévoit, de manière explicite, l’engagement d’équipes universitaires dans l’établissement d’indicateurs objectifs d’attribution des moyens. C’est cette contribution d’une équipe interuniversitaire, après une présentation du cadre législatif et de la nécessité de mettre en oeuvre ce type de mesures, qui est décrite.
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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 | 0.018 | 0.041 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".