Female athletes' experiences of positive growth following deselection in sport
Bibliographic record
Abstract
The purpose of this study was to explore female athletes' experiences of positive growth following deselection from provincial sport teams. Interviews were conducted with 18 females (M age = 22.45 years, SD = 1.38) who were deselected from provincial soccer, ice-hockey, and volleyball teams as adolescents. Interpretative phenomenological analysis methodology (Smith, Flowers, & Larkin, 2009) was used. Analysis was guided by Tedeschi and Calhoun's (2004) model of posttraumatic growth. Results showed that participants questioned their identity and ability as an athlete following deselection. Growth was a gradual process that unfolded over several years, experienced through a greater appreciation of the role of sport in their lives and sport becoming a priority, an enhanced sense of personal strength, developing closer social relationships, and a recognition of new and other opportunities. These findings demonstrate the applicability of a model of posttraumatic growth in sport, and show that cognitive processes and social relationships are critical components in the process of positive growth.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".