Masters Swimmers’ Experiences With Coaches
Bibliographic record
Abstract
Much work addresses coaches’ contributions to younger athletes; however, the psycho-social coaching needs of adult Masters athletes remain unexamined. This study explored the lived experiences of 10 Masters swimmers (5 male, 5 female; age range = 45-65 years) through interviews. Interpretative phenomenological analysis delved into benefits that swimmers wanted to derive from coaches, how they wished to be coached, and what they liked about coaches. Themes related to (a) swimming and non-swimming benefits; (b) coaches’ experience and professional development, personal attributes, and behaviors holding athletes accountable to training; (c) preferences for coaching instruction; (d) preferences for coaches’ planning/structuring of the practice and program; and (e) preferences for how coaches prepare and interact with them at competitions. We discuss how benefits relate to models of athlete development and identify how preferences link to adult learning literature and models of coaching practice. Finally, we note incongruent findings and limitations to be addressed in future.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".