The consistency of sexual homicide characteristics and typologies across countries: a comparison of Canadian and Scottish sexual homicides
Bibliographic record
Abstract
ABSTRACTAlthough similar subtypes of sexual homicide have been described cross-nationally, no study has directly examined whether two samples from different jurisdictions are comparable. This study therefore aimed to examine whether any substantively meaningful subtypes of sexual homicide cases could be identified in each sample, and if so, whether these subtypes were similar across jurisdictions. Two samples of male sexual homicide offenders were compared: a Scottish sample (n = 89) and a Canadian sample (n = 150). Subtypes were identified in each sample using LCA, identifying a 3-class solution in each sample. Despite differences between samples on the bivariate level, two very similar subtypes (Controlled-Organized and Diverse) emerged in both samples. Despite differences at the bivariate level, the similarities at the multivariate level indicate similarities in underlying offence pathways which underpin heterogeneity in sexual homicide offenders. The similarities between the subtypes identified suggests potential universality of types of sexual homicides cross-nationally.
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How this classification was reachedexpand
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".