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Record W4412027203 · doi:10.1016/j.ajsep.2025.06.003

The impact of confidence verse calligraphy practice on self-efficacy in skill-accurate athletes

2025· article· en· W4412027203 on OpenAlexaff
Xin Yue, Liwei Zhang, Robert J. Schinke

Bibliographic record

VenueAsian Journal of Sport and Exercise Psychology · 2025
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsLaurentian University
Fundersnot available
KeywordsAthletesCalligraphyPsychologyComputer sciencePhysical therapyMedicineArtVisual arts

Abstract

fetched live from OpenAlex

The unique physical and psychological benefits of Chinese calligraphy practice (i.e., relaxing the body, soothing anxiety, facilitating mind flow, and enhancing self-control) are well-suited to athletes and sports contexts, but calligraphy interventions in sports are few. Our researchers used a mixed research approach to investigate the effects of confidence verse calligraphy practice on self-efficacy (general self-efficacy, sport state confidence, and specialized self-efficacy) in skill-accurate athletes. In a 2 × 3 mixed experimental design, we found that both confidence verse calligraphy practice and neutral character calligraphy practice increased athletes’ general self-efficacy and sport state confidence, and qualitative analyses revealed that this enhancement effect was characterized by a reduction in negative thoughts and emotions when experiencing frustration, but that there were no differences between the two types of writing content. This research is the first attempt to apply calligraphy practice to improve self-efficacy and extends the mental training methods for Chinese national level athletes (i.e., national first-class and above).

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)0.001
metaresearch head score (Gemma)0.003
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.013
GPT teacher head0.374
Teacher spread0.361 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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