Exploring potential determinants of sexual victimization disparities among young sexual minoritized people: A mixed-method study.
Bibliographic record
Abstract
Young sexual minoritized people report elevated rates of sexual violence in comparison to their heterosexual peers. This health disparity is largest among lesbian and bisexual people, and in particular bisexual women. We know little about what drives this health disparity, which is critically necessary information for developing effective sexual violence interventions. Recently, sexual stigma has been identified as an important factor related to sexual victimization among sexual minoritized people. The current paper details a concurrent mixed-method study investigating what factors contribute to young lesbian and bisexual people's vulnerability for experiencing sexual violence, and in particular the similarities and differences between these two groups. We conducted a survey with 328 participants to investigate the quantitative relationships between sexual stigma and experience of sexual violence. A subset of 25 survey participants with a history of sexual victimization also engaged in qualitative interviews about their experience of violence. Primary quantitative findings indicate that sexual stigma significantly predicts a greater likelihood of reporting an experience of sexual violence among bisexual people, and to a lesser degree, lesbian people. Qualitative findings support the development of a theoretical model that describes how intersectional experiences of marginalization across individual, interpersonal, and societal levels interact to increase vulnerability for sexual violence.
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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 | 0.001 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".