Using Vignettes to Analyze Potential Influences of Effective Strength and Conditioning Coaching on Athlete Development
Bibliographic record
Abstract
This study explored which strength and conditioning (S&C) coaching behaviors and characteristics are perceived as effective by elite athletes and how these influence the athletes. A secondary aim was to consider the development and usefulness of vignettes to elicit new knowledge. Ten elite athletes reflected on scenarios presented in vignettes. Resulting themes were divided into the processes and factors influencing athletes and how the athletes are affected. The athletes considered these themes effective because the coach had built an environment of trust and respect. How coaches might influence athletes were divided into cognitive influences and behavioral influences. The results are discussed in light of current sport coaching literature, and the way vignettes enhance the richness of the data collection is reflected on. Practically, the results suggest that S&C coaches can build trust and respect to influence athletes’ development through effective instruction, communication, and motivation.
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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 | 0.001 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".