Conception universelle de l'apprentissage (CUA) pour l'inclusion, la diversité, l'équité et l'accessibilité (IDEA)
Bibliographic record
Abstract
"Le projet de conception universelle pour l'apprentissage (UDL) pour l'inclusion, la diversité, l'équité et l'accessibilité (IDEA) était une collaboration entre 10 universités et collèges de l'Ontario pour développer une ressource éducative ouverte en 6 modules pour les éducateurs postsecondaires afin de les aider à comprendre leurs responsabilités en vertu de la Loi sur l'accessibilité pour les personnes handicapées de l'Ontario (LAPHO). Il aidera les instructeurs et autres personnes à intégrer les principes de la UDL et tiendra compte des considérations de l'EDI et de l'indigénisation dans leurs environnements d'apprentissage." -- Open Library (eCampusOntario)
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.011 | 0.017 |
| Scholarly communication | 0.017 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.021 | 0.005 |
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".