Under pressure: identifying pathways to sexual coercion in a community sample
Bibliographic record
Abstract
Sexual coercion is a form of sexual aggression that involves the use of verbal persuasion tactics to convince an individual to participate in sexual acts against their will, and is of particular concern on university campuses. Informed by Seto’s Motivation-Facilitation-Model (MFM), the present study examined pathways to sexual coercion as motivated via paraphilic fantasy and sexual compulsivity, and facilitated by physical aggression and attitudes supportive of sexual offending. A university sample of staff and students (N = 938) completed an online self-report battery measuring sexual fantasy, attitudes, aggression, hypersexuality and lifetime reported atypical sexual behaviours. Results of multigroup-structural equation modelling revealed that a latent sexual deviance variable (derived from sexual compulsivity and paraphilia) predicted atypical sexual behaviours and specifically, sexual coercion, across genders and that physical aggression formed a unique pathway to sexual coercion in males. The results may inform the development of targeted sexual assault prevention efforts within the general population.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".