Sources of knowledge used by Spanish coaches: A study according to competition level, gender and professional experience
Bibliographic record
Abstract
This research analyzed sources of knowledge used by Spanish coaches according to competition level, gender, and professional experience. It provides valuable insight regarding the influence of demographic factors on the knowledge acquisition of coaches in a sub-group of the population (Spanish coaches) for which little is known. Participants were 675 coaches of different team and individual sports. Data were collected through the use of a standardized validated questionnaire. Results indicated that coaches in Spain subscribe to informal knowledge acquisition methods more than formal and non-formal ones. The sources of knowledge most used were an exchange of knowledge with other professionals, observation of other coaches, and previous athletic experience. The sources of knowledge least used were reading books or magazines, and conducting research. Additionally, it was found that coach demographics were associated with differences in the priority given to specific sources of knowledge. Consequently, commonly utilized formal knowledge translation approaches may need to be reconsidered.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".