La voix des jeunes atteints de maladies rares ou peu fréquentes : un récit croisé de leur parcours scolaire
Bibliographic record
Abstract
Ce document fait partie d’une étude plus large sur les maladies rares et peu fréquentes et l’inclusion scolaire. La réponse éducative aux élèves souffrant de maladies rares, également appelées maladies orphelines, minoritaires ou à faible prévalence, implique une approche globale des domaines éducatif, sanitaire et psychosocial, ce qui constitue un défi pour les processus d’inclusion mis en oeuvre dans de nombreuses écoles. L’objectif de cette recherche est d’analyser quels processus éducatifs favorisent et entravent l’inclusion des élèves atteints de maladies rares dans les classes ordinaires. La méthodologie du récit biographique nous permet d’analyser en profondeur les expériences des processus d’inclusion à travers les voix de deux jeunes atteints de maladies peu fréquentes qui nous racontent leur parcours scolaire.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".