Les angles morts des travaux sur l’inclusion scolaire à la lumière de la théorie de la justice sociale de Nancy Fraser
Bibliographic record
Abstract
Cet article a pour objectif d’éclairer les angles morts des travaux sur l’inclusion scolaire à la lumière de la théorie de la justice sociale de Nancy Fraser. Sur la base des paradigmes de redistribution, de reconnaissance et de représentation, il met en lumière plusieurs angles morts, tant sur le plan politique que paradigmatique. Si l’on n’en tient pas compte, ces angles morts peuvent entraîner une forme normative et prescriptive de l’inclusion à travers la simplification de la complexité du réel, et la mise en place de remèdes correctifs. Il convient donc d’adopter une approche critique de l’inclusion, qui peut être facilitée par l’utilisation de certains concepts comme le climat scolaire, la participation sociale et l’advocacy.
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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 | 0.014 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.014 | 0.041 |
| Scholarly communication | 0.010 | 0.011 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 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".