Défis vécus par des étudiantes et des étudiants en situation de handicap à l’université : quand l’approche universelle s’invite dans la discussion
Bibliographic record
Abstract
Afin d’offrir des modalités d’accompagnement adaptées aux besoins des étudiantes et des étudiants en situation de handicap, une étude a été menée en vue de cerner les défis vécus à l’université. Centrés sur la déclaration de la situation de handicap et de la mise en œuvre des mesures d’aide individualisées, les besoins sont multiples. Outre le fait que ce processus s’avère très énergivore, la prise en compte des besoins doit être soutenue par une mixité d’approches individuelle et universelle ainsi qu’une meilleure sensibilisation et connaissance de cette population par la communauté universitaire.
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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 | 0.052 | 0.091 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.009 | 0.019 |
| Scholarly communication | 0.017 | 0.016 |
| Open science | 0.004 | 0.012 |
| Research integrity | 0.009 | 0.012 |
| Insufficient payload (model declined to judge) | 0.010 | 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".