Fieldwork Educator Use of Knowledge Translation during Occupational Therapy Level II Fieldwork
Bibliographic record
Abstract
Knowledge translation (KT) is the exchange, synthesis, and application of knowledge amongst researchers and users to accelerate the capture of the benefits of research to improve overall outcomes, according to the Canadian Institutes of Health Research (2016). Yet current estimates reveal a persistent 17 knowledge-to-action gap, representing a significant delay in the translation of research and evidence into clinical practice. Evidence suggests barriers to KT implementation being lack of interest in continuing education to stay updated with the latest practices, insufficient time to focus on KT due to other demands. Occupational Therapy Fieldwork Educators (FWEs) are among the many professionals facing these barriers and this research aims to answer the research question: To what extent are Occupational Therapy FWEs implementing KT strategies with their Occupational Therapy students in level II Fieldwork Placements, what are effective strategies, what are barriers, and what supports would help overcome any barriers?
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".