What Is a Parasport Coach’s Role During Athlete Classification? Exploring How Parasport Coaches Learn About Classification and Their Role Within This Process
Bibliographic record
Abstract
Undergoing classification can be a difficult experience for athletes with disabilities, yet coaches may support athletes during this event. However, research has yet to examine either coaches’ roles during classification or how coaches learn to navigate this unique aspect of parasport. We purposed to explore parasport coaches’ roles during classification as well as the ways in which coaches learn about classification. Twelve Canadian high-performance coaches representing eight parasports participated in semistructured interviews. Inductive reflexive thematic analysis of the transcripts was conducted. Results show coaches view their role as intuitive and centered on preparing the athlete, ensuring fairness, and reframing classification outcomes. The ways coaches learned about classification varied, but coaches agreed there is a general lack of structured resources available to coaches interested in learning about classification. In addition to learning about classification, coaches valued understanding the athlete and their impairment to effectively fulfill their coaching roles.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".