Sexual Violence and Mental Health: The Role of Attitudes, Beliefs and Disclosure
Bibliographic record
Abstract
This paper analyzes how rape myths, sexual attitudes and disclosure behaviours influence symptoms of anxiety, depression and PTSD in survivors of sexual violence on campus.To address the research questions, data were analyzed from a large study of 934 undergraduate women at universities in Ontario. Results from spearman’s correlations showed a significant but weak relationship between rape myth acceptance and anxiety, and Communion sexual attitudes and depression. All types of disclosure were associated with increased symptoms of the mental health outcomes measured. Regression analyses yield only a significant result with health disclosure, rape myth acceptance and Birth Control sexual attitudes predicting changes in anxiety scores. Mediation analyses found formal disclosure to partially mediate victimization and anxiety, depression and PTSD. Disclosure to health services partially mediated the relationship between victimization and PTSD. This study emphasizes the need for greater institutional efforts to educate students on the resources available to them, and the need for more research on student’s experiences with disclosure.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".