Perfectionism and Burnout Within Intercollegiate Sport: A Person-Oriented Approach
Bibliographic record
Abstract
This study investigates the functional nature of perfectionism in sport through a person-oriented comparison of healthy and unhealthy perfectionist athletes’ levels of burnout. A sample of 117 intercollegiate varsity student-athletes ( M age = 21.28 years, SD = 2.05) completed measures that assessed multidimensional sport-based perfectionism and athlete burnout indices (i.e., reduced accomplishment, sport devaluation, and emotional/physical exhaustion). Cluster analysis revealed that the sample could be represented by four theoretically meaningful clusters: Parent-Oriented Unhealthy Perfectionists, Doubt-Oriented Unhealthy Perfectionists, Healthy Perfectionists , and Non-Perfectionists . Intercluster comparisons revealed that healthy perfectionists reported (a) lower levels on all athlete burnout indices in comparison with both doubt-oriented unhealthy perfectionists and nonperfectionists and (b) lower levels of emotional/physical exhaustion in comparison with parent-oriented unhealthy perfectionists (all p s < .05). The degree to which findings fit within perfectionism/burnout theory and can serve as an example for research with enhanced relevancy to applied sport psychology contexts is discussed.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".