The Unusual Victim: Understanding the Specific Crime Processes and Motivations for Elderly Sexual Homicide
Bibliographic record
Abstract
Sexual homicides involving elderly victims are rare and unusual crimes, and research specifically focusing on these homicides is almost inexistent. The current study investigates the crime commission process as well as the motivations underlying elderly sexual homicides. The sample comes from the Sexual Homicide International Database (SHIelD) including sexual homicide cases from Canada and France. A total of 56 cases involving victims aged 65 years or more were compared with 513 cases involving victims aged between 16 and 45 years old. Bivariate analyses and two-step cluster analysis are performed. Findings show major differences in the crime commission process of the two groups of offenders. We also identified a four-cluster typology of elderly sexual homicide offenders based on their motivations (sexual, robber, sadistic, experimental). Although sexual homicides involving elderly victims are rare, these crimes are different, presenting specificities and should be studied as a group on its own.
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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 | 0.001 | 0.005 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".