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Record W4414482756 · doi:10.1177/08862605251368852

Self-Reported Experiences of Interpersonal Violence Among High-Performance Athletes in Brazil

2025· article· en· W4414482756 on OpenAlexaff
Joanna Maranhão, Sylvie Parent, Camille Clermont, Tine Vertommen

Bibliographic record

VenueJournal of Interpersonal Violence · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsAthletesSafeguardingContext (archaeology)Poison controlSuicide preventionInjury preventionNeglectHuman factors and ergonomics

Abstract

fetched live from OpenAlex

Studies conducted in various countries have demonstrated that childhood interpersonal violence (IV), encompassing psychological, physical, sexual violence, and neglect, is a widespread issue in high-performance sports. However, research in this area has largely focused on countries in the Global North, and no prevalence studies have been conducted within Brazilian sport. This study examined the prevalence of childhood IV among high-performance athletes in Brazil, explored gender differences, and identified associated risk factors. A total of 857 high-performance Brazilian athletes completed the survey about their experiences in sport before the age of 18. The sample included 563 women, 290 men, and 4 individuals who either did not disclose their gender or identified as non-binary, fluid, or queer. The findings indicate that childhood IV is a widespread issue, with 93% of athletes reporting having experienced at least one form of IV. Psychological violence and neglect were most common (91%), followed by sexual violence at 63% and physical violence at 55%. The study also showed that having a professional sports contract after the age of 18 and practicing a team sport were associated risk factors for physical violence. Moreover, athletes with a professional contract were more likely to experience psychological violence in the context of their sport. Finally, practicing a para-sport was associated with a lower risk of reporting psychological violence. These findings underscore the urgent need for targeted safeguarding measures and evidence-informed policies to prevent childhood IV in Brazilian sport.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.010
GPT teacher head0.303
Teacher spread0.293 · 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.

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 routes1
Has abstractyes

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