The Development of Sexual Aggression through the Life Span
Bibliographic record
Abstract
A bstract : There is a strong belief in the field that sexual aggression persists unabated into old age. If libido is one of the important determinants of sexual aggression, as has been theorized, and if libido decreases with aging, then it follows that sexual aggression should show similar aging effects. The present study examines the effects of age on sexual arousal and sexual recidivism in sex offenders. In the first study, 1431 sex offenders' erectile responses were measured using volumetric phallometry during presentations of visual and auditory depictions of prepubescent, pubescent, and adult males and females. The maximum degree of arousal was plotted over the age of the offender at the time of the test. Age was a powerful determinant of sexual arousal and a line‐of‐best‐fit indicated that arousal decreased as a reciprocal of the age‐at‐test. In the second study, 468 sex offenders released into the community were followed for an average period of over five years. The effects of age‐at‐release were examined using Kaplan‐Meier survival curves plotted for subjects in different age‐at‐release cohorts. Results indicated that offenders released at an older age were less likely to recommit sexual offenses and that sexual recidivism decreased as a linear function of age‐at‐release. Age‐related decreases were confirmed while controlling for other risk factors using Cox regression analysis. The implications of reductions in sexual aggression with age are discussed in relation to our understanding of the etiology of sexual aggression and our use of actuarial risk assessments.
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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 | 0.003 | 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 | 0.002 | 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".