‘Reflexive modernity’ and the transition experiences of university athletes
Bibliographic record
Abstract
Although there is a tradition of research focused on the socialization experiences of student-athletes, few studies consider how non-sport-related transitions impact and overlap with the sport-related transitions experienced by these athletes – or how transition experiences are influenced by the broader, structural conditions associated with reflexive modernity. With the goal of addressing these gaps, an interview-based study of the experiences of 12 female student-athletes, who moved from Canada to the United States to pursue intercollegiate soccer, is reported. The study is situated in literatures related to youth transitions, mobility, sport-related socialization, and identity formation. The ‘individualization’ and ‘detraditionalization’ concepts are featured and considered for their pertinence to the experiences of the interviewed student-athletes. Key findings from the study include the following: decision-making by student-athletes was a predominantly individualized endeavor that was influenced by various sport and non-sport-related factors; the sport and non-sport-related transitions that accompanied the move to a new sporting and educational context were eased because of the (temporary and conditional) support of teammates; and that the transition out of sport was especially difficult for many of the athletes, as the support structures associated with ‘the team’ quickly diminished – and because of the hyper-individualized identities that the student-athletes were required to renegotiate.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.028 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| 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".