Developmental pathways to recidivism in men who have committed sexual aggression against women: a three-dimensional model
Bibliographic record
Abstract
Over the past few decades, research on men who have committed sexual aggression against women (MCSAAW) has identified both static and dynamic risk factors that either directly influence the commission of sexual aggression and its recidivism, or contribute to the sequence of events leading to such behaviours. These factors may be grouped into three dimensions: (1) externalised, (2) internalised, and (3) sexualised. However, little is known about how these dimensions influence different recidivism outcomes (i.e. sexual, violent nonsexual, and nonviolent/nonsexual). Building on previous research, this study examines these interactions in a sample of 206 MCSAAW. Using path analysis, the results indicate a positive association between externalised dimension and violent and nonviolent/nonsexual recidivism, and a positive association between sexualised dimension and sexual recidivism. Additionally, the internalised dimension influences sexual recidivism indirectly through the sexualised dimension.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".