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Record W4404696246 · doi:10.1136/bjsports-2024-108766

IOC consensus statement: interpersonal violence and safeguarding in sport

2024· article· en· W4404696246 on OpenAlexaff
Yetsa A. Tuakli‐Wosornu, Kirsty Burrows, Kari Fasting, Mike Hartill, Ken Hodge, Keith L. Kaufman, Emma Kavanagh, Sandra Kirby, Jelena G MacLeod, Margo Mountjoy, Sylvie Parent, Minhyeok Tak, Tine Vertommen, Daniel Rhind

Bibliographic record

VenueBritish Journal of Sports Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicSports injuries and prevention
Canadian institutionsMcMaster UniversityUniversité LavalUniversity of Winnipeg
Fundersnot available
KeywordsSafeguardingInterpersonal violenceStatement (logic)Consensus conferenceInterpersonal communicationPsychologyHuman factors and ergonomicsMedicinePoison controlEngineering ethicsPolitical scienceLawEngineeringMedical emergencySocial psychologyNursing

Abstract

fetched live from OpenAlex

OBJECTIVE: Interpersonal violence (IV) in sport is challenging to define, prevent and remedy due to its subjectivity and complexity. The 2024 International Olympic Committee Consensus on Interpersonal Violence and Safeguarding aimed to synthesise evidence on IV and safeguarding in sport, introduce a new conceptual model of IV in sport and offer more accessible safeguarding guidance to all within the sports ecosystem by merging evidence with insights from Olympic athletes. METHODS: A 15-member expert panel performed a scoping review following Joanna Briggs Institute methodologies. A seminal works-driven approach was used to identify relevant grey literature. Four writing groups were established focusing on: definitions/epidemiology, individual/interpersonal determinants, contextual determinants and solutions. Writing groups developed referenced scientific summaries related to their respective topics, which were discussed by all members at the consensus meeting. Recommendations were then developed by each group, presented as voting statements and circulated for confidential voting following a Delphi protocol with ≥80% agreement defined a priori as reaching consensus. RESULTS: Of 48 voting statements, 21 reached consensus during first-round voting. Second-round and third-round voting saw 22 statements reach consensus, 5 statements get discontinued and 2 statements receive minority dissension after failing to reach agreement. A total of 43 statements reached consensus, presented as overarching (n=5) and topical (n=33) consensus recommendations, and actionable consensus guidelines (n=5). CONCLUSION: This evidence review and consensus process elucidated the characterisation and complexity of IV and safeguarding in sport and demonstrates that a whole-of-system approach is needed to fully comprehend and prevent IV. Sport settings that emphasise mutual care, are athlete centred, promote healthy relationships, embed trauma- and violence-informed care principles, integrate diverse perspectives and measure IV prevention and response effectiveness will exemplify safe sport. A shared responsibility between all within the sports ecosystem is required to advance effective safeguarding through future research, policy and practice.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.904
Threshold uncertainty score0.877

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0010.000

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 head0.009
GPT teacher head0.289
Teacher spread0.279 · 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 designOther design
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

Citations86
Published2024
Admission routes1
Has abstractyes

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