Clinical Report: Use of the Canadian Occupational Performance Measure in Vision Technology
Bibliographic record
Abstract
BACKGROUND: The Canadian Occupational Performance Measure (COPM) has gained wide acceptance in general occupational therapy research and practice, however, the use of the COPM in assistive technology assessments and outcomes is not as well documented. PURPOSE: This clinical report discusses the utility of the COPM in assistive technology, as illustrated by the assessment and follow-up of clients requiring high technology vision aids. RESULTS: The COPM makes important contributions to the outcomes of providing vision aids. The COPM ensures a needs review that incorporates all areas of occupational performance, which in turn directs the clinician to match the technology to client needs. From a clinical perspective, the quantitative follow-up data are helpful to determine clients' improvement in occupational performance as well as their satisfaction with the assistive technology. For administrative purposes, the COPM results provides accountability to the funding agency. PRACTICE IMPLICATIONS: The COPM can be readily integrated into the assessment and follow-up of assistive technology service delivery and adds value to both components of the process.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".