Is Investigative Awareness a Distinctive Feature of Sexual Sadism?
Bibliographic record
Abstract
Sadistic offenders are often described as individuals who are forensically aware, who carefully plan their offenses, and preselect the location of their crime. Despite this emphasis on strategies to avoid police detection, no study has specifically examined whether this behavior or trait was specific to sadistic offenders. Utilizing a sample of 350 cases of sexual homicide from Canada, sadistic sexual homicide offenders (SHOs) are compared with nonsadistic SHOs on their investigative awareness. Results from logistic regression analyses show that sadistic SHOs are more likely to use various precautions to avoid detection and select a deserted location, in comparison with nonsadistic offenders. In addition, sadistic SHOs, despite having a lesser time to body recovery than nonsadistic offenders, are more likely to see their case remain unsolved. Implications for the assessment of sexual sadism as well as for the police investigations will be discussed.
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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 | 0.001 | 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".