Bibliographic record
Abstract
Victim age polymorphism describes a subset of serial sexual offenders who offend against victims from multiple age groups (Guay, Proulx, Cusson, & Ouimet, 2001). Research on victim age polymorphism is an important area of study as polymorphic offenders have been found to have high recidivism rates (Parent, Guay, & Knight, 2011). The current study provided an exploration of polymorphism in 72 sexual offenders who committed 361 stranger offences. Polymorphism occurred in 36% of offenders’ sexual offence series, with the majority of polymorphic offenders victimizing minors aged 11 to 14. In comparison to age specific offenders, polymorphic offenders were found to be a) younger at the start of their sexual offence series, b) more opportunistic, c) less concerned with victim characteristic, d) more likely to be antisocial, and e) a trend was observed that suggested they were more likely to show deviant arousal to rape. These results will be discussed within the contexts of Investigative and Forensic Psychology.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".