Are We Really Client-Centered? Using the Canadian Occupational Performance Measure to See How the Client's Goals Connect With the Goals of the Occupational Therapist
Bibliographic record
Abstract
The Canadian Occupational Performance Measure was used as a tool to compare goals for intervention identified by seven clients living in a long-term residential program and diagnosed with schizophrenia, with their goals as identified by the occupational therapist. In-depth interviews were conducted in conjunction with the use of the Canadian Occupational Performance Measure. Data analysis revealed an overarching theme that described the clients' concerns as, “I want to accomplish goals outside of the residence program.” During the analysis, however, the data revealed that the occupational therapist primarily focused her attention on goals to be achieved within the residence program, emphasizing programming and symptom management as each client's priorities for intervention, rather than community involvement. The findings reveal how data from the Canadian Occupational Performance Measure was used to reveal client/therapist disconnect in goal setting and the need to continue to examine client-centered practices in mental health settings.
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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 | 0.008 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 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".