Sexual Sadism
Bibliographic record
Abstract
The phenomenon of sexual sadism was first scientifically described by Richard von Krafft-Ebing in 1999 as a sexual preference disorder that focuses on the infliction of suffering, pain, or humiliation to achieve sexual gratification. The present article reviews the historical development of the term sexual sadism, including the current descriptive nosology of psychiatric classification. Despite clear definitions that specify the sexual objects, duration, and distress necessary for a disorder, evidence for the diagnostic reliability for sexual sadism in the forensic domain is mixed. We argue that the reliance on the patient's willingness to divulge corresponding violent sexual fantasies is the Achilles' heel of the diagnosis. In an attempt to improve agreement across diagnosticians, we argue for the use of behavioral indicators. We summarize the extant research on the Severe Sexual Sadism Scale (SESAS), which is a file-based observer rating of pertinent crime-scene actions. We conclude that the analysis of crime-scene behavior, as achieved with the SESAS, can provide a useful complement for the clinical diagnosis in forensic psychiatry and psychology.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".