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Record W4295048060 · doi:10.1080/07053436.2022.2097381

Validation of the Dutch (Flemish) version of the Violence Towards Athletes Questionnaire (VTAQ)

2022· article· en· W4295048060 on OpenAlexaffvenue
Tine Vertommen, Mieke Decuyper, Sylvie Parent, Hélène Paradis

Bibliographic record

VenueLoisir et Société / Society and Leisure · 2022
Typearticle
Languageen
FieldMedicine
TopicSports injuries and prevention
Canadian institutionsResearch Unit on Children's Psychosocial MaladjustmentUniversité Laval
Fundersnot available
KeywordsFlemishAthletesPsychologyStructural equation modelingExploratory factor analysisClinical psychologyApplied psychologyPsychometricsMedicinePhysical therapyGeography

Abstract

fetched live from OpenAlex

While the issue of violence against children in sport reached societal concern worldwide, valid measurement tools are lacking. This study aims to evaluate the psychometric properties of the Dutch Violence Towards Athletes Questionnaire (VTAQ), a self-report instrument, surveying experiences with violence in youth sport. A total of 769 Belgian young athletes were recruited for this study. Exploratory structural equation modeling (ESEM) showed excellent model fits and yielded the same latent factors in the athlete and parent subscales as in the original study. However, our analysis revealed an additional factor in the coach subscale, . This factor, consisting of both physical and psychological harmful behaviors relating to performance-enhancing purposes, was named ‘instrumental’ violence. The emergence of an extra dimension of sport specific interpersonal violence redirects us towards a more extensive study of instrumental types of violence in relation to sports culture, competition level and training load in young athletes.

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)0.001
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 score0.079
Threshold uncertainty score0.309

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.285
Teacher spread0.274 · 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

Citations14
Published2022
Admission routes2
Has abstractyes

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