Experiences of competitive masters swimmers: Desired coaching characteristics and perceived benefits
Bibliographic record
Abstract
The purpose of this study was to examine the experiences of competitive masters swimmers by asking them to describe desired coaching characteristics and perceived benefits associated with masters swimming. The research questions guiding this study were: What are masters swimmers’ desired coaching characteristics? What are masters swimmers’ perceptions regarding the benefits of participating in masters athletics? Semi-structured interviews were conducted with six competitive male masters swimmers aged 49–64 and the qualitative data were analysed using a thematic analysis. According to the athletes, their coaches used effective communication skills to establish positive environments that led to social, health, and performance improvements. In addition, the athletes reported how their coach's kept them focused and motivated prior to competitions when their training became more challenging. Results from this study are of interest to masters swimming athletes and coaches, and could be used to inform the development and design of programs that could optimise the performance and enjoyment of competitive masters swimmers.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".