Aggression and Social Anxiety Are Associated with Sexual Offending Against Children
Bibliographic record
Abstract
The current study examined a number of risk factors that are thought to be related to sexual offending. More specifically, we investigated differences in self-reported aggression, anger, hostility, social anxiety, and social skills between child sexual abusers ( n = 28), rapists ( n = 36), and nonsexual violent offenders ( n = 59) who were detained under hospital order. In addition, differences between inpatient ( n = 28) and outpatient child sexual abusers ( n = 61) on the pertinent constructs were evaluated. Consistent with our expectations, we found that child sexual abusers reported themselves as lower on the aggression-related measures and higher on social anxiety than nonsexual violent offenders. In contrast with our hypotheses, however, the results also indicated that the inpatient child sexual abusers reported lower levels of aggression, anger, hostility, and social anxiety than the outpatient child sexual abusers. The observed differences between child sexual abusers, rapists, and nonsexual violent offenders are generally consistent with theories about the etiology of sexual abuse. The differences between the inpatient and outpatient child sexual abusers were not in the expected direction, but may be due to a number of methodological limitations of this research.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".