From Periphery to Player: Strategically Positioning Occupational Therapy Within the Knowledge Translation Landscape
Bibliographic record
Abstract
Knowledge translation has emerged as a critical force across health research, funding, policy, and practice. Occupational therapy finds itself on the periphery of this emerging field, but opportunities specific to occupational therapy systems can facilitate a shift in which the profession develops its role as a key player. As occupational therapy increasingly recognizes the essential role of knowledge translation in health care, strategic action to create knowledge translator roles, technology, resources, opportunities, and communities of practice will be needed to align occupational therapy academic and health care systems with knowledge translation imperatives that increasingly shape the health care landscape.
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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 | 0.063 | 0.049 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.028 | 0.054 |
| Scholarly communication | 0.065 | 0.048 |
| Open science | 0.004 | 0.052 |
| Research integrity | 0.014 | 0.017 |
| Insufficient payload (model declined to judge) | 0.012 | 0.005 |
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".