How to Support Athlete Autonomy in University Sports: Coaches’ Experience of the reROOT Program
Bibliographic record
Abstract
The purpose of this study was to evaluate coaches’ experience of the reROOT program, a program aiming to increase coaches’ autonomy-supportive skills, structure, and involvement. We delivered the program to 32 university sports coaches, and of these coaches, 13 participated in three semistructured focus groups 2 weeks postprogram and discussed their experience of the program. Guiding questions aimed at assessing participants’ responsiveness to the program and its perceived usefulness. Classical content analyses were performed and organized based on the guiding questions when applicable. Results suggest that coaches appreciated the program, believed that they could implement its skills in their day-to-day coaching, and observed positive impacts on themselves and their athletes despite the COVID-19 pandemic. It thus appears that coaches are responsive to the reROOT program and that it could be a useful part of their training.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".