Diversity of Profiles Among Adolescent-Athletes Reporting Sexual Violence in Sport
Bibliographic record
Abstract
The experience of sexual violence (SV) in sport can vary according to contextual factors such as its form, type of perpetrator, and frequency of acts that might impact the risk factors and outcomes of SV. This study aims to explore the heterogeneity of SV experiences in sport using latent class analysis and to compare the victimization profiles based on personal and sport characteristics as well as on outcomes. A sample of 1357 adolescent-athletes practicing an organized sport who reported SV in sport was included in the study. Four profiles of sexual victimization were identified: (a) SV from authority figure (3.5%), (b) sexual harassment from peers (84.5%), (c) low poly-victimized (6.9%), and (d) moderate poly-victimized (5.2%). Overall, the findings suggest that athletes reporting SV are not a homogenous group but do not clearly distinguish in risk factors and outcomes. Results can be used to better target prevention and intervention strategies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".