CAOT Lexicon / Lexique de l’ACE Canadian Association of Occupational Therapists • Association canadienne des ergothérapeutes • www.caot.ca © CAOT/ACE 2011 1 INDEX- CAOT
Bibliographic record
Abstract
ACOTRO- Association of Canadian Occupational Therapy Regulatory Organizations ACORE- Association canadienne des organismes de réglementation en ergothérapie Adapt, enablement skill Adapter, Habiletés en habilitation (Sens légal) Administrative benchmarks Repères administratifs (Notion d'étalon), Cibles administratives (Reddition de compte- organisationnelle) Advocate (verb), Advocate (noun) Revendiquer (verbe), Défenseur des intérêts (nom) Advocate for themselves Défendre ses propres intérêts / Revendiquer pour soi-même Advocacy Advocacy, Plaidoyer pour une cause ou une personne Age, occupational therapists Âge, ergothérapeutes Agency, agency to act Agence / Organisme, l'agir (processus) Agree on objectives/plan, (CPPF action point) Convenir des objectifs / du plan, (étape du MCPP) Alliances, allies Alliances/coalitions/partenariats, partenaires/alliés Appreciative narrative inquiry, appreciative inquiry (AI) Approche narrative centrée sur les forces, interrogation appréciative (IA) Assess/evaluate, (CPPF action point) Évaluer/Analyser, (étape du MCPP) Asset-based practice, appreciative inquiry (AI) Pratique centrée sur les forces, interrogation appréciative (IA) Association of Canadian Occupational Therapy University Programs (ACOTUP) Association canadienne des programmes universitaires en ergothérapie (ACPUE) Attribution theories Théorie de l'attribution causale
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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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.012 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.304 | 0.142 |
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".