Single‐Victim and Serial Sexual Homicide Offenders: Differences in Crime, Paraphilias and Personality Traits
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Information on psychopathological characteristics of sexual homicide offenders is scarce. AIMS: To investigate criminal, paraphilic and personality trait differences between serial and single-victim sexual homicide offenders. METHODS: All 73 single-victim and 13 serial sexual homicide offenders presenting within a cohort of 671 men sentenced for sexual crimes between 1994 and 2005 and serving their sentence in one high-security Canadian prison and who consented to interview were assessed and compared on their offending patterns, personality pathology and paraphilic behaviours. RESULTS: Serial sexual homicide offenders were more likely than the single offenders to report deviant sexual fantasies, having selected victims with distinctive characteristics, to have targeted strangers, structured premeditation and/or verbal humiliation of their victims during the offences. Personality pathology, defined by at least two Diagnostic and Statistical Manual of Mental Disorders IV criteria for personality disorder, was common in both groups, but the serial offenders were more likely to have narcissistic, schizoid and/or obsessive-compulsive traits; they were also more likely to engage in sexual masochism, partialism, homosexual paedophilia, exhibitionism and/or voyeurism. IMPLICATIONS FOR PRACTICE: Samples of serial sexual homicide offenders will, fortunately, always be small, and it may be that more could be learned to assist in preventing such crimes if data from several studies or centres were pooled. Our findings suggest that an investigation of sexual homicide offenders should include strategies for evaluating premeditation as well as personality and paraphilic characteristics. Crime scene features that should alert investigators should include similar characteristics between victims and particular aspects of body exposure or organisation.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it