Factors associated with using research evidence in national sport organisations
Bibliographic record
Abstract
The purpose of this study was to explore factors associated with the use of research evidence in Canadian National Sport Organisations (NSOs). Data were collected via individual semi-structured interviews with 21 representatives from Canadian NSOs. A qualitative description approach was used. Interviews were transcribed verbatim and subjected to an inductive-to-deductive thematic analysis. A research implementation framework (Rycroft-Malone, 2004) was used to organise inductively derived themes into the higher-order categories of evidence (use of evidence, disconnection between research and practice), context (lack of capacity, organisational structure), and facilitation (personal connections with researchers and sport scientists, formal meetings with stakeholders). Overall, NSO representatives did not have a clear understanding of evidence and lacked capacity to access and translate research. However, some context factors, along with internal and external facilitators, were in place and could be used to enhance research implementation.
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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 | 0.007 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".