An Integrated Biofeedback and Psychological Skills Training Program for Canada’s Olympic Short-Track Speedskating Team
Bibliographic record
Abstract
The present article outlines the development and implementation of a multifaceted psychological skills training program for the Canadian National Short Track Speedskating team over a 3-year period leading up to the Vancouver 2010 Olympic Games. A program approach was used emphasizing a seven-phase model in an effort to enhance sport performance (Thomas, 1990) in which psychological skills training was integrated with biofeedback training to optimize self-regulation for performance on demand and under pressure. The biofeedback training protocols were adapted from general guidelines described by Wilson, Peper, and Moss (2006) who built on the work of DeMichelis (2007) and the “Mind Room” program approach for enhancing athletic performance. The goal of the program was to prepare the athletes for their best performance under the pressure of the Olympic Games. While causation cannot be implied due to the lack of a control group, the team demonstrated success on both team and individual levels.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".