Typologies of women who have sexually offended: exploring psychosocial, developmental and motivational characteristics
Bibliographic record
Abstract
Typologies classify persons based on characteristics and motivation of offending and inform clinical treatment, and management of, people who commit acts of sexual harm. Research examining typologies of women who have sexually offended (WWSO) is limited. We address this gap by examining court sentencing decisions for WWSO against children and adults in New Zealand, Australia and Canada (N = 62) to formulate typologies. We consider a broad range of individual and developmental factors, including offender background and psychosocial factors (e.g. experience of sexual abuse, adverse childhood experiences and mental health difficulties) to further describe this heterogenous population. Four typologies of WWSO emerged: ‘Anti-social’ motivated by revenge, malice or material gain; ‘Seeking Love’ motivated by seeking intimacy and love; ‘Seeking Sexual Gratification’ motivated to fulfil their own sexual desires; and ‘Seeking to Please Others’ motivated to please others or win others’ affection. These typologies have clinical implications for identifying key assessment and treatment targets for WWSO.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| 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".