An Updated Sexual Homicide Crime Scene Rating Scale for Sexual Sadism (SADSEX-SH)
Bibliographic record
Abstract
The Sexual Homicide Crime Scene Rating Scale for Sexual Sadism (SADSEX-SH) is a rating scale which dimensionally measures the degree of offender sexual sadism in suspected sexual homicide cases. Scoring is accomplished using crime scene and related investigative information. Preliminary norms for the SADSEX-SH prototype indicate that it correctly classified offenders with and without sexual sadism. This study further assessed SADSEX-SH sensitivity, specificity, and inter-rater reliability by comparing a larger sample of male sexual homicide offenders with ( n = 20) and without ( n = 20) sexual sadism. Two items generally undetectable at crime scenes were removed from the originally proposed 10-item scale, resulting in a final 8-item version. SADSEX-SH total scores for the two groups significantly differed (7.7 ± 3.5, range = 2-14 vs. 2.6 ± 2.0, range = 0-7, t = 5.58, p < .001). Inter-rater reliability was excellent (intraclass correlation coefficients [ICCs] = 0.6-1.0). Using a revised cutoff score of 6, sensitivity was 70.0% and specificity was 90%. This revised scale may prove useful for investigators, clinicians, and institutional professionals in helping to identify and address sexual sadism in sexual homicide offenders.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".