A Test of Two Typologies of Sexual Homicide
Bibliographic record
Abstract
Published typologies of sexual homicide lack theoretical grounding and empirical support. They also conceptualize the phenomenon of sexual homicide as somewhat discrete, though offenders are not typically specialists. Here, we propose a model that situates the phenomenon of sexual killing into broader categories of antisocial behavior, positing three types of perpetrators of serial sexual homicides: competitively disadvantaged, psychopathic, and sadistic offenders. Using biographical data of 82 serial sexual homicide offenders, we tested our model as well as the influential organized/disorganized model. Principal components analysis produced five components consisting of offender and offense characteristics, and cluster analysis revealed three distinct groups of perpetrators (sadistic offenders, competitively disadvantaged offenders, and slashers), as well as a fourth, heterogeneous group; this cluster solution, however, may be unstable. In summary, there is only mixed support for either model.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".