L’évaluation en ergothérapie pour contribuer à documenter l’aptitude : étude de cas
Bibliographic record
Abstract
INTRODUCTION: Many occupational therapists contribute to the assessment of competence to take care of oneself and manage one’s affairs, but few guidelines exist regarding this practice with adults who have experienced a traumatic brain injury (TBI). PURPOSE: This study explored the ability of the Instrumental Activities of Daily Living Profile (IADL Profile) to capture competence following a TBI. METHOD: Task performance on the IADL Profile of a 46-year-old man (ML) who was found to be incompetent following a severe TBI was compared to eight control subjects (mean age 49.3 ± 4.2 years). The IADL Profile scores, observable behaviours, and verbalizations were compared using descriptive statistics (M, SD) and qualitative analyses. RESULTS: The independence level of ML was lower than that of the control subjects on seven of the eight tasks of the IADL Profile (p < .05), especially for preparing a hot meal and creating a budget. ML demonstrated difficulties that impacted his performance on many tasks, and he had difficulty critiquing his results. IMPLICATIONS: The IADL Profile could be used as part of a functional assessment to document competence.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".