DESIGNING SUPPLEMENT FORM OF THE CANADIAN OCCUPATIONAL PERFORMANCE MEASURE: ITEM ANALYSIS AND SUGGESTIONS FOR REFINEMENT
Bibliographic record
Abstract
Objective: The aim of this study was to determine the cumulative validity of experimental form in comparison with the Canadian Occupational Performance Measure) COPM( independently to identify occupational performance problems in the mothers of children with Cerebral Palsy (CP). Materials & Methods: This study is an item refinement for experimental form, performed in two stages: firstly designing experimental form and testing reliability secondly its item refinement. Participants were 30 mothers of children with CP in first stage and 21 mothers of children with CP in second stage from different occupational therapy clinics in Tehran. Results: In first stage, Spearman correlation coefficients showed that all the subscales had good test-retest reliability (r>0.7). There were observed significant difference in household management, quiet recreation, active recreation and socialization subscales of experimental form along COPM form compared COPM form alone in item refinement stage. Conclusion: It seems that experimental form offers to detect more important occupational performance problems of mothers. Therefore, we recommended use of experimental form for knowing changes of mothers occupational of children with CP.
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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 | 0.017 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".