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Record W4406882975 · doi:10.1007/s10611-024-10185-3

Unveiling sextortion in sport: a global inquiry into the nexus of sexual violence, abuse of power, and corruption for enhanced safeguarding

2025· article· en· W4406882975 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCrime Law and Social Change · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsWestern University
FundersUniverzita Karlova v Praze
KeywordsNexus (standard)SafeguardingAbuse of powerLanguage changeCriminologySexual abusePower (physics)Political scienceSexual violenceSociologyLawPoison controlHuman factors and ergonomicsPoliticsEngineeringEnvironmental healthMedicine

Abstract

fetched live from OpenAlex

Abstract Sextortion, a distinct form of sexual misconduct intersects with both sexual violence and corruption. Within the sphere of sport, marked by inherent power differentials and hierarchical structures, cases of sexual abuse and corruption persist, with sextortion emerging as a concerning manifestation of these pervasive issues. While sextortion shares commonalities with other forms of sexual abuse, such as harassment and assault, a distinguishing feature lies in how coercion is leveraged through authority or power imbalances. Unlike more overt forms of abuse, sextortion often involves subtle or implicit threats, where compliance is sought in exchange for perceived privileges or opportunities within the sporting environment. Leveraging Institutional Theory and Applied Ethics, this study aims to provide a comprehensive exploration of sextortion in sport. Despite increasing awareness, research on sextortion in sport remains limited. Previous studies lack data specific to this elusive misconduct, primarily relying on empirical data related to sexual abuse. This study represents the first empirical investigation into sextortion in sport, drawing on data collected from 49 countries and endeavours to quantifiably communicate the scale of sextortion. Through data analysis of over 500 elite athletes, community sport practitioners, and sport industry professionals aged 17 and above, the research sheds light on experiences related to abuses of entrusted power for sexual gain. Results found 20% (n = 96) of global respondents experienced sextortion, including 37 minors at the time of the incident, encompassing diverse genders, abilities, and identities. Sextortion was identified across 41 of the 49 surveyed nationalities and within 19 of 26 sport categories from grassroots to elite levels. This research deepens the understanding of sport-related sextortion and underscores the importance of addressing this pervasive issue through further theoretical and empirical inquiry. It emphasises the critical role of good governance, clear safeguarding protocols, increased awareness of power dynamics, consent, and the importance of diverse regional data in effectively combating sextortion in the sporting domain.

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.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score0.998

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 studies0.0000.001
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 head0.056
GPT teacher head0.363
Teacher spread0.307 · 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