Les représentations de l’expert en habilitation des occupations par des ergothérapeutes superviseurs de stage
Bibliographic record
Abstract
BACKGROUND: The use of occupation-focused language in clinical settings is essential to supervision of student occupational therapists since training is based, at least in part, on the competencies described in The Profile of Occupational Therapy Practice in Canada (Canadian Association of Occupational Therapists, 2007). PURPOSE: This article describes how occupational therapists conceptualize the competencies related to the role of "expert in enabling occupation." METHODS: Qualitative data collected from 56 occupational therapists across eight focus groups were categorized using content analysis through a process of constant comparison. FINDINGS: Although the use of occupation-focused language is not widespread, the examples reported in the present study reflect occupation-focused client-centred practice. IMPLICATIONS. The use of occupation-focused language associated with the role of "expert in enabling occupation" can be fostered through discussion groups in the context of academic and clinical setting collaborations.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".