MétaCan
Menu
Back to cohort
Record W2000511590 · doi:10.1080/1612197x.2005.9671758

Effects of a season‐long PST program on gymnastic performance and on psychological skill development

2005· article· en· W2000511590 on OpenAlexaff
Jean Fournier, Claire Calmels, Natalie Durand‐Bush, John H. Salmela

Bibliographic record

VenueInternational Journal of Sport and Exercise Psychology · 2005
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsRepeated measures designRelaxation (psychology)PsychologyIntervention (counseling)Analysis of variancePhysical therapyClinical psychologyApplied psychologyMedicineSocial psychologyMathematicsStatisticsPsychiatry

Abstract

fetched live from OpenAlex

Findings are reported of an evaluation of the effects of a 10‐month PST program on performance and psychological indicators. Ten nationally ranked female gymnasts (M = 12 years old) followed a psychological skills training (PST) program for half an hour per week. The five‐step intervention consisted of relaxation, self‐talk, goal setting, focusing, and visualization. Performance scores were obtained using scores and rankings during two consecutive competitive seasons. The OMSAT‐3 © was used to individually assess 11 psychological indicators (Durand‐Bush, 1995). Data were recorded before the intervention and after every step of the intervention, during the course of the competitive seasons. Repeated ANOVAs as well as a practical assessment of the data were completed. The PST program appeared to be most effective on imagery skills, relaxation, activation, focusing, and refocusing. On three events out of four (bars, beam, floor), the 10 gymnasts progressed 5% more than 11 other gymnasts who did not follow this PST program.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.014
GPT teacher head0.349
Teacher spread0.335 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations84
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Sport and Exercise PsychologySame topicSport Psychology and PerformanceFrench-language works237,207