Perfectionism, Anger, and Situation Criticality in Competitive Youth Ice Hockey
Bibliographic record
Abstract
This study examined the degree to which male youth ice hockey playersʼ ( N = 229, M age = 14.15 years; SD = 1.03) perfectionist orientations were associated with anger vulnerability in competition. Perfectionism and trait anger were measured as domain-specific constructs. Athletes were also asked to speculate on the likely intensity of anger responses if they were to commit mistakes in high- and low-criticality situations in competition. Canonical correlation results indicated that heightened perfectionist orientations were associated with heightened competitive trait anger. Cluster analyses produced three clusters of athletes who possessed either low, moderate, or high levels of perfectionism. Significant between-cluster differences on anger responses to mistakes were obtained, with highly perfectionistic athletes anticipating significantly higher levels of anger following mistakes than low and moderately perfectionistic athletes. A significant situation-criticality main effect was also observed, with athletes anticipating higher levels of anger following personal mistakes in high- as opposed to low-criticality situations. Results are discussed within the context of cognitive motivational theories of emotion.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".