Adaptation to Athletic Retirement and Perceptions About Aging: A Qualitative Study of Retired Olympic Athletes
Bibliographic record
Abstract
Self-perceptions about aging have implications for health and well-being; however, less is known about how these perceptions influence adaptation to major life transitions. The goal of this study was to examine how high-performance athletes' perceptions about aging influenced their adaptation to athletic retirement. In-depth interviews conducted with 24 retired Olympic athletes using thematic analysis yielded three key themes: (a) perceptions about aging influenced participants' postretirement exercise habits, (b) perceptions about aging motivated participants to engage in civic activities, and (c) participants who lacked formative perceptions about aging associated their athletic retirement with their own lost sense of purpose. These findings provide evidence that perceptions about aging influence athletes' adaptation to retirement by directing their subsequent engagement in postretirement activities. Furthermore, this research highlights theoretical implications for the literature regarding embodied processes, retirement transitions, role models, and adaptation to new physical states.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".