The Confluence Model of Sexual Aggression: The role of pornography as a secondary risk factor
Bibliographic record
Abstract
The Confluence Model (CM) highlights the role of Hostile Masculinity (HM) and Impersonal Sex (IS) as primary risk factors for sexual aggression. According to the CM, pornography is a secondary risk factor for sexual aggression among men who are high in HM and IS. The role of pornography consumption in the CM has produced divergent findings; however, a subset of men use pornography for mood management (to cope with negative emotions). These men are at risk of developing problematic pornography use, suggesting a need to consider motives for pornography use in the context of the CM. The present study tested the CM with a focus on the role of pornography as a mood management motive in a sample of males (n = 412). The central components of the CM (HM and IS) were associated with sexual aggression. There was also an independent association between the mood management motive of watching pornography and sexual aggression, suggesting that the mood management motive of watching pornography may be an independent risk factor for sexual aggression. In contrast to our hypothesis, the mood management motive did not moderate the association between the primary risk factors (HM, IS) and sexual aggression. The findings of this study replicate past findings and build on the literature by suggesting that pornography use as mood management is predictive of sexual aggression.
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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 | 0.006 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.001 | 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".