The role of dominant personality traits in multiple perpetrator rape proclivity
Bibliographic record
Abstract
Background/Aim Multiple perpetrator sexual assaults (MPSA) often involve more severe forms of sexual violation and result in a host of impairments for the victim. To further investigate the characteristics of MPSA, researchers have taken an interest in personality traits, varying group dynamics, and the role a leader may play. This study examines the possible linkage between dominant personality characteristics and the propensity to engage in multiple perpetrator sexual assault. Method Using anonymous online surveys, university student participants were assessed on The Personality Scale for Dominance and the Multiple Perpetrator Rape Proclivity Scale (M-PRIS). We hypothesized that dominant personality traits would predict M-PRIS proclivity score. Results Of 176 respondents, 84 heterosexual males completed both measures. Dominance scores did not significantly predict total M-PRIS score, F(1,82) = 1.1, p = .296, the Enjoyment subscale score, F(1,82) = .66, p = .420, the Likelihood subscale score, F(1,86) = 1.13, p = .292, or the Arousal subscale score, F(1,82) = 0.66, p = .419. Conclusion In this study, dominance was not associated with a proclivity for multiple perpetrator sexual violence. Other important factors, such as psychopathy or deviant sexual interests, may mediate the relationship between dominant personality traits and the tendency to initiate a multiple perpetrator sexual assault. Future studies should examine alternative relationships in hopes of gaining a clearer picture of individuals who exhibit a proclivity for sexual violence with the aim to inform prevention and practice.
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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 | 0.008 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".