Heterogeneity in Antisocial Trajectories in Youth of Adult Sexual Aggressors of Women
Bibliographic record
Abstract
Recent explanatory models of sexual aggression of women have emphasized the role of an antisocial tendency in explaining sexual aggression. If those models agree about the importance of an antisocial propensity, they disagree about the presence of a single or multiple pathways leading to sexual aggression. Currently, no empirical studies have examined within-individual changes of antisocial behavior in youth of sexual aggressors of women and whether those changes are related to the unfolding of the sexual and nonsexual criminal activity in adulthood. This study examines the presence of antisocial trajectories in childhood and adolescence using a sample of 209 convicted adult sexual aggressors of women. A dynamic classification procedure using cluster analyses yields five distinct antisocial trajectories, which are then compared using analysis of covariance on various parameters of criminal activity in adulthood. The results highlight the heterogeneity of antisocial development in youth of adult sexual aggressors of women. Patterns of initiation, persistence, and escalation in youth are related to the general, violent, and sexual offending in adulthood.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".