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Record W2152130442 · doi:10.1123/jcsp.6.1.67

An Integrated Biofeedback and Psychological Skills Training Program for Canada’s Olympic Short-Track Speedskating Team

2012· article· en· W2152130442 on OpenAlexaffabout
Marla Beauchamp, Richard H. Harvey, Pierre Beauchamp

Bibliographic record

VenueJournal of Clinical Sport Psychology · 2012
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBiofeedbackAthletesPsychologyTraining (meteorology)Applied psychologyControl (management)Sport psychologyManagementPhysical therapyMedicine

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.407
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.139
GPT teacher head0.498
Teacher spread0.359 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations65
Published2012
Admission routes2
Has abstractyes

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