The trajectories and developmental experiences of twin high-performance athletes in life skill development
Bibliographic record
Abstract
Life skills development across developmental stages has been considered a complex endeavor. Research is needed to understand how family environments may influence athletes’ life skills development through sport experiences. Nonetheless, we are not aware of any studies to date that have explored how shared family environment of twins influence their life skills development. This study used Interpretative Phenomenological Analysis to examine twin professional athletes’ experiences in learning life skills in development, elite youth, and high-performance sport contexts. The findings show the twins’ coaches lacked an explicit approach to life skills development, but through support from their father, the twins still perceived that their coaches had an indirect effect on their personal development. This study also highlights how negative experiences in high performance sport played a role in positive life skill development, which is a novel finding from this study. Their father's support and their shared family environment were considered key and enabled the athletes to learn life skills from both negative and positive experiences in sport. It is fair to state that the twins had privileged support (i.e., father) which may not be accessible to many athletes across a range of contexts.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 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".