Trauma Symptoms Resulting From Sexual Violence Among Undergraduate Students: Differences Across Gender and Sexual Minority Status
Bibliographic record
Abstract
Experiencing sexual violence is an important risk factor for trauma symptoms, and these symptoms significantly impair psychosocial functioning. Sexual and gender minority university students are more likely than their heterosexual and cisgender peers to experience sexual violence (e.g., sexual harassment, unwanted sexual contact, or sexual coercion) while attending university, but research on the consequences of these experiences is needed to inform service provision to these vulnerable populations. Using a large-scale study of university-based sexual violence in Quebec, the current study examined how gender and sexual minority status were associated with the severity of trauma symptoms among students who experienced sexual violence ( N = 1,196). Findings indicated that compared with their cisgender peers, gender minority students experienced significantly higher levels of trauma symptoms as a result of sexual violence, controlling for the severity of sexual violence behaviors experienced and other variables. Among cisgender women, but not cisgender men, sexual minority identity was also associated with higher levels of trauma symptoms, controlling for severity of sexual violence behaviors experienced and other variables. Furthermore, gender of perpetrator and amount of sexual violence moderated the associations between sexual identity and trauma symptoms among cisgender women. These findings not only suggest that gender minority and some sexual minority university students are more likely to experience sexual violence, but that they are also more likely to experience negative psychological sequelae as a consequence of these experiences. Ultimately, these findings may suggest the need for services that are more supportive of the specific needs of gender and sexual minority students with regard to sexual violence.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".