A Multidimensional Perspective on Cognitive Functioning Across Sport Classifications in High-Performance Athletes
Bibliographic record
Abstract
This thesis presents a comprehensive investigation into the domain-general cognitive functioning of high-performance athletes, addressing inconsistencies in current assessment methods. The sample consisted of 188 athletes from the Canadian Sport Institute of Ontario from Team (n=94), Precision/Skill-dependent (n=56), and Speed-strength (n=28) sports. Athletes completed a battery of computerized neuropsychological tests. Study 1 examined multidimensional cognitive profiles. Athletes exhibited superior performance, with associations found between episodic memory, visuospatial working memory, attention/concentration, and verbal reasoning. Two latent factors—attention/executive function and short-term (working) emerged. Study 2 examined cognitive performance across sport type. Team sport athletes outperformed those in other sports on visual short-term (working) memory, response inhibition, visuospatial working memory, and working memory tasks. They also secured the highest proportion of high scores across increasing thresholds. Collectively, the current thesis provides a foundation for future research to advance athlete cognitive profiling to inform talent identification and development strategies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".