Transitioning from high school & collegiate sport : the first-year experience of male CIS volleyball players
Bibliographic record
Abstract
Numerous studies have been undertaken to explore the impact of transition out of sport due to injury, team selection, or retirement.These studies have been completed in the fields of sport psychology, sociology and education amongst others.Fewer studies have addressed the topic of an athlete's transition into a new level of sport.The present study was undeftaken to explore the first-year experience of male volleyball players in Canadian Interuniversity Sport (CIS).An interpretive case study (Ellis, 1998) was conducted to better understand the lived experience of three male volleyball players as they transitioned frorn high school and college level volleyball to an established program competing in CIS.A qualitative approach using narrative and interpretive themes was used to develop a deeper understanding of the processes and factors involved in the transition to CIS sport.A mid-season interview, a questionnaire and a post-season interview served as data collection tools to inform the narratives that followed in the final analysis.Consistent with interpretive inquiry methodology, the author reflected on his own experience as a former university athlete and where appropriate, integrated his transitional experience into the narratives.In developing narrative and thematic representations of the first year studentathlete experience, literature pertaining to identity, roles, and communities of practice was used to inform analysis of the athletes' stories.This study provides valuable information to those with a vested interest in improving the transition experience of student-athletes such as coaches, university program directors, consultants, and the athletes amongst others.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".