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Record W4416926395 · doi:10.1177/01937235251401868

Shy Like Me: Exploring Links Between Coaches’ Shyness and Beliefs About Shy and Exuberant Children in a Team Sports Context

2025· article· en· W4416926395 on OpenAlexafffund
Megan DeGroot, Kristen A. Archbell, Robert J. Coplan

Bibliographic record

VenueJournal of Sport and Social Issues · 2025
Typearticle
Languageen
FieldPsychology
TopicEmotions and Moral Behavior
Canadian institutionsUniversity of WaterlooCarleton University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsShynessContext (archaeology)PersonalityCoachingWorryPerceptionAnticipation (artificial intelligence)Sensation seekingBig Five personality traits

Abstract

fetched live from OpenAlex

This study examined links between coaches’ shyness and their perceptions of shy and verbally exuberant children in a team sports context. Participants were a community sample of N = 465 adults ( n = 379 males; n = 86 females) aged 18–78 years ( M = 43.48 years, SD = 9.96) with previous experience coaching children in team sports. Measures included demographic questions, respondents’ self-reported shyness, responses to vignettes describing hypothetical shy and verbally exuberant children in a team sports context, and an assessment of potential problems for shy athletes. Among the results, coaches’ shyness was significantly associated across both vignettes with overall worry ( F (1, 406) = 5.40, p = .021), greater anticipation that these children would experience peer difficulties ( F (1, 401) = 4.39, p = .037), and lower efficacy for working with these children ( F (1, 405) = 6.12, p = .014). These findings suggest that shyness among coaches may be manifested as higher threat perception and lower confidence in the context of children's behavioral management. As a result, children with different behavioral tendencies may not reap all the benefits that team sports participation can provide. This highlights the importance of sports coaches’ personality traits on the outcomes for shy and verbally exuberant team members and the need for support for shy coaches.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.038
Threshold uncertainty score0.602

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.040
GPT teacher head0.335
Teacher spread0.295 · 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.

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
Published2025
Admission routes2
Has abstractyes

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