Bibliographic record
Abstract
This study aims to examine the psychopathological profile of non-homicidal sexual offenders (NHSOs) and homicidal sexual offenders (HSOs). Using an incarcerated sample of 96 NHSOs and 74 HSOs in a federal penitentiary in Canada, these offenders are compared in terms of their offending process, maladaptive personality traits, and paraphilic behaviors. A number of cross-tabular and sequential logistic regression analyses are performed. Relative to their counterpart, findings indicate that a higher percentage of HSOs select a victim of choice, report deviant sexual fantasies, mutilate their victim, and admit to their offense upon apprehension, whereas a higher percentage of NHSOs select victims with distinctive characteristics. In addition, a higher percentage of HSOs manifest paranoid, schizotypal, borderline, histrionic, narcissistic, obsessive-compulsive, and impulsive personality traits, and overall odd and eccentric personality traits compared with NHSOs. Similarly, a higher percentage of HSOs engage in exhibitionism, fetishism, frotteurism, homosexual pedophilia, sexual masochism, and partialism compared with NHSO. These findings are discussed with their implications for offender profiling.
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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 | 0.002 |
| 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".