The reproducibility of the Canadian Occupational Performance Measure
Bibliographic record
Abstract
OBJECTIVE: To assess the reproducibility (reliability and inter-rater agreement) of the client-centred Canadian Occupational Performance Measure (COPM). DESIGN: The COPM was administered twice, with a mean interval of seven days (SD 1.6, range 4-14), by two different occupational therapists. Data analysis was based on intraclass correlation coefficients, the Bland and Altman method and Cohen's weighted kappas. SETTING: Occupational therapy departments of two university medical centres. SUBJECTS: Consecutive clients, with various diagnoses, newly referred to the outpatient clinic of two occupational therapy departments, were included. They were all over 18 years of age and perceived limitations in more than one activity of daily life. Complete data on 95 clients were obtained: 31 men and 64 women. RESULTS: Sixty-six per cent of the activities prioritized at the first assessment were also prioritized at the second assessment. The intraclass correlation coefficients were 0.67 (95% confidence interval (CI) 0.54-0.78) for the mean performance score and 0.69 (95% CI 0.56-0.79) for the mean satisfaction score. The limits of agreement were -2.5 to 2.4 for the mean performance score and -2.3 to 2.7 for the mean satisfaction score. For the separate prioritized problems, the weighted kappas ranged from 0.37 to 0.49. CONCLUSIONS: Inter-rater agreement of the prioritized problems was moderate. The reproducibility of the mean performance and satisfaction scores was moderate, but it was poor for the scores of the separate problems. Therefore, the mean scores should be used for individual assessment.
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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 | 0.042 | 0.116 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".