A Preliminary Study on the Relationship Between Athletes' Ability to Self-Regulate and World Ranking
Bibliographic record
Abstract
This study was designed to explore the relationship between elite athletes' self-regulation ability and their ranking at the world level using psychophysiological stress assessment profiling. Fifteen elite level athletes' psychophysiological stress response patterns were recorded during a nine-stage stress assessment. Respiration rate, heart rate, heart rate variability, skin conductance, peripheral body temperature, and electromyograph (trapezius and frontalis) were monitored. There was a significant correlation between elite athletes' overall self-regulation ability and their ranking at the world level, meaning that the better the overall self-regulation ability of the athlete, the better the world ranking. In addition, a multiple regression analysis indicated that self-regulation accounted for 76% of the variance in world ranking. Our results suggest the existence of a relationship between elite athletes' overall self-regulation ability and their ranking at the world level. Therefore, the results of this study have important implications for training of optimal psychophysiological self-regulation in athletes.
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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 | 0.001 |
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".