Perfectionism, pre-competitive worry, and optimism in high-performance youth athletes
Bibliographic record
Abstract
Different aspects of perfectionism have been associated with an array of adaptive and maladaptive cognitive, affective, and behavioural correlates in sport. However, relatively little is known about the links between athletes’ perfectionistic tendencies and their state-level thoughts and expectancies (i.e. mindset) in the lead up to competition. The purpose of this study was to explore relationships between perfectionistic strivings, perfectionistic concerns, and the future-oriented thoughts (i.e. worries) and expectancies (i.e. optimism) of athletes as they prepared to compete. A sample of 144 male youth high-performance Canadian football players (M age = 16.41 years, SD = 1.48) completed domain-specific measures of perfectionism, pre-competitive worry, and optimism 24 h prior to the start of an important competition. Canonical correlation (RC) analysis produced two interpretable canonical functions. In the first canonical function, a canonical variate resembling a maladaptive profile of perfectionism (i.e. high strivings combined with high concerns) was positively correlated (RC1 = .66) with a canonical variate consisting of high worry and low optimism. In the second canonical function, a canonical variate resembling an adaptive profile of perfectionism (i.e. high strivings combined with low concerns) was positively correlated (RC2 = .48) with a canonical variate consisting of low worry and high optimism. The results highlight the importance of treating perfectionism as a multidimensional construct and indicate that the pre-competitive mindset of athletes (as reflected by the degree to which athletes worry and feel optimistic) appears to be associated with athletes’ perfectionistic orientations in sport.
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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 | 0.000 | 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".