Bibliographic record
Abstract
It is often parents who introduce their children to competitive sports and parents who then provide remarkable emotional and material support across their children's athletic careers (Bloom, 1985 Bloom, B., ed. 1985. Developing talent in young people, New York: Ballantine Books. [Google Scholar]; Côté, 1999 Côté, J. 1999. The influence of the family in the development of talent in sport. The Sport Psychologist, 13: 395–417. [Crossref], [Web of Science ®] , [Google Scholar]). Considerable research documents athletes’ retirement experiences (Baillie, 1993 Baillie, P. 1993. Understanding retirement from sports: Therapeutic ideas for helping athletes in transition. The Counseling Psychologist, 21: 399–409. [Crossref], [Web of Science ®] , [Google Scholar]; Baillie & Danish, 1992 Baillie, P. and Danish, S. J. 1992. Understanding the career transition of athletes. The Sport Psychologist, 6: 77–98. [Crossref] , [Google Scholar]; Svoboda & Vanek, 1982 Svoboda, B. and Vanek, M. 1982. “Retirement from high level competition”. In Mental training for coaches and athletes, Edited by: Orlick, T., Partington, J. and Salmela, J. 166–175. Ottawa: Coaching Association of Canada. [Google Scholar]; Werthner & Orlick, 1982 Werthner, P. and Orlick, T. 1982. Retirement experiences of successful Olympic athletes. International Journal of Sport Psychology, 17: 337–363. [Google Scholar]), yet none explores the effects of retirement on parents. The purpose of this study was to examine the effects of athletes’ disengagement from sport on parents. In-depth interviews were conducted with six parents of former female elite gymnasts who had been retired for three to five years and the data analyzed inductively (Côté, Salmela, Baria, & Russell, 1993 Côté, J., Salmela, J., Baria, A. and Russell, S. 1993. Organizing and interpreting unstructured qualitative data. The Sport Psychologist, 7: 127–137. [Crossref], [Web of Science ®] , [Google Scholar]; Lally & Kerr, 2005 Lally, P. S. and Kerr, G. 2005. The career planning, athletic identity and student role identity of intercollegiate student-athletes. Research Quarterly for Exercise and Sport, 76: 275–285. [Taylor & Francis Online], [Web of Science ®] , [Google Scholar]; Miller & Kerr, 2002 Miller, P. S. and Kerr, G. 2002. The athletic, academic, and social experiences of intercollegiate student-athletes. Journal of Sport Behavior, 25: 346–367. [Google Scholar], 2003 Miller, P. S. and Kerr, G. 2003. The role experimentation of intercollegiate student-athletes. The Sport Psychologist, 17: 197–220. [Crossref], [Web of Science ®] , [Google Scholar]). Their daughters’ withdrawal from gymnastics and their own immediate disengagement from the world of elite sport had a tremendous impact on the participants’ personal and social relationships, leaving them struggling with weighty self-doubts over their failure to intervene with abusive coaches.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.037 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".