Savoring Sport: Connections With Athlete Passion and Burnout
Bibliographic record
Abstract
Athletes can respond to positive experiences in sport by engaging in savoring—that is, by attempting to prolong or amplify their positive feelings. In this research, the authors tested if savoring was predicted by levels of harmonious or obsessive passion for sport and if savoring was associated with symptoms of burnout. In Study 1 ( n = 499), the authors found that savoring was positively associated with harmonious passion and negatively associated with obsessive passion. In addition, savoring predicted lower levels of burnout and played an indirect role in the relationship between both passion types and burnout. The authors replicated these findings in Study 2 ( n = 298), with collegiate-level athletes, prospectively, over the course of a season. Overall, athletes with strong levels of harmonious passion appear to be most likely to engage in savoring, a response that may protect them from experiencing higher levels of burnout.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".