Gender differences in attitudes toward psychopathic sexual offenders
Bibliographic record
Abstract
Although a considerable amount of research has been conducted examining the validity of psychopathy as a psychological construct, relatively few studies have focused on the effects of using this disorder in "real-world" settings to influence the attitudes of laypersons who are making life-altering decisions about offenders. This study attempted to replicate and extend earlier findings (Guy & Edens, 2003) suggesting that there are gender differences in the impact of expert testimony regarding psychopathy. A sample of 599 undergraduates reviewed case facts regarding a hypothetical Sexually Violent Predator trial in which the type of risk assessment testimony provided (clinical opinion, actuarial scale, psychopathy evaluation) and the age of the victims (adult versus child) were manipulated. Consistent with prior research, despite overall high rates of support for commitment in the adult victim condition, men were less prone than women to support civil commitment when the defendant was described as "a psychopath" (62.5 versus 86.5%). No such gender differences were noted in the clinical opinion or actuarial conditions. When the victims were identified as children, type of testimony had no impact because support for commitment was almost unilateral. Finally, ratings of how psychopathic the defendant was perceived to be (regardless of the testimony provided) were significantly associated with support for commitment across most conditions.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".