Individual Differences in the Propensity for Partner Sexual Coercion
Bibliographic record
Abstract
Lalumière, Harris, Quinsey, and Rice (2005) proposed a three-path model (psychopathy, young male syndrome, and competitive disadvantage) of the development of sexually coercive behavior, but none of these individual difference characteristics have been tested among partner rapists. Using a community sample in Study 1, the authors find that psychopathy is the only significant predictor of self-reported propensity for partner sexual coercion. This model is tested in Study 2 by comparing convicted partner rapists, nonsexual partner assaulters, and heterosexual child molesters. One third of partner rapists are psychopaths, and their psychopathy scores are no different from those found in correctional samples. Partner rapists have an average IQ, providing further evidence that competitive disadvantage is less characteristic of partner rapists. There is some indication that partner rapists desist with age. The authors discuss these findings in light of recent findings that implicate cuckoldry risk in partner sexual assault.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".