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Record W2734667737

Evaluating the effectiveness of a mental skills training program on the sport performance of Special Olympics athletes

2014· article· en· W2734667737 on OpenAlexaffabout
Dany J. MacDonald, Jenny L Beck

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicSports injuries and prevention
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsAthletesCoachingPsychologyApplied psychologyMental healthPerceptionTraining (meteorology)Medical educationQuality (philosophy)Adaptation (eye)MedicinePhysical therapyPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

The development of sport expertise is a complex and multidimensional process. Although it is well established that physical practice will impact the development of expertise in an athlete, it is also known that it is not the only determining factor. Researchers have argued that combining physical practice with mental skills training will better prepare athletes for competition compared to physical practice alone. However, most research has focused on generic athletes, implying that the role of mental training in athletes with intellectual disabilities is currently under researched. Therefore, the purpose of this study was to investigate coach perceptions of the effectiveness of a mental skills training program offered to Special Olympics athletes prior to attending the 2013 World Games. A total of 9 coaches (Mage = 48 years; Myears coaching = 18 years) participated in structured telephone interviews aimed at understanding the role of mental training in the development and performance of athletes. Interviews were recorded, transcribed, and analyzed using NVivo. Overall, results suggest that providing athletes with a mental training workshop prior to the World Games had a positive effect on athlete experience and performance. However, participants identified various components of the program that require adaptation and suggested recommendations for improving the quality of training provided to athletes. Conclusions and recommendations will be discussed to determine how to best deliver the program to maximize athlete training.Acknowledgments: We would like to acknowledge Special Olympics Canada for supporting this research

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)0.004
metaresearch head score (Gemma)0.008
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.349
Teacher spread0.320 · 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

Citations0
Published2014
Admission routes2
Has abstractyes

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