AGING AND EMBODIMENT: A LIFE COURSE APPROACH TO EXAMINING AGING AMONG RETIRED ELITE ATHLETES
Bibliographic record
Abstract
Elite athletes push their bodies to the limit demonstrating our ultimate physical potential; their bodies are scrutinized and held to the highest performance standards. Yet, when they retire, elite athletes are often cast aside despite the tremendous potential they hold to offer insights about embodied processes and resilience. This study examined perspectives on aging, physical decline, and physical engagement, using an approach informed by narrative gerontology and an interview guide that applied the key principles of the life course perspective. In-depth, semi-structured interviews I conducted with retired Olympic athletes, coaches, and masters athletes revealed complexities in the relationship between athletic identity and successful aging. This paper develops analogies between the ways society all but abandons the athlete whose body no longer performs at peak ability and the aging individual who must adapt to imposed changing social identities. Findings from this study integrate theoretical work from embodiment theory to highlight challenges in contemporary understandings of loss, resilience, and attitudes about aging.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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 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".