A Scoping Review of the Use of Theory in Studies of Knowledge Translation
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Advancing the science of knowledge translation (KT) in occupational therapy is critical. Explicit application of theory can advance this science; yet, how theory is applied and the degree to which it can guide research remain poorly defined. PURPOSE: To understand how theory is applied within KT research. METHODS: A scoping review was conducted to examine and summarize the extent, range, and nature of the application of three specific KT theories: Diffusion of Innovations, Promoting Action on Research Implementation in Health Services framework, and Theory of Planned Behaviour. FINDINGS: Theory use was seen most frequently in medicine and nursing. Only 3 of 90 articles were in rehabilitation. Five approaches to theory application were found, the most common being the use of to predict success of KT (57/90). IMPLICATIONS: In-depth study of the importance and methods of theory application in KT research is needed, in particular in occupational therapy.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it