Bibliographic record
Abstract
Working in partnership, occupational therapists help clients to "balance their boat" and engage in meaningful occupations as clients journey through life. Life balance requires prioritization between time spent at work and other life experiences. Leisure time provides opportunities to rest, re-energize and enjoy activities of one's choosing, and is vitally important to an individual's physical and mental health. As occupational therapists, we need to appreciate how valuable and meaningful these activities are. In particular, it is essential that we optimize balance between the "must do" activities that are often prioritized in our interventions, with the "would like to do" leisure activities that promote well-being and social engagement. Asking our clients about the leisure activities in which they would most like to participate promotes choice and a sense of control. Focusing on modifiable personal and environmental factors enables occupational therapists to address barriers to participation in leisure activities. Occupational therapists have the knowledge and skills to work with individuals, organizations and communities to advocate for policy and practice changes that will optimize participation for individuals with functional challenges.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 teacher head, 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".