What should be included in the criteria for compulsive sexual behavior disorder?
Bibliographic record
Abstract
Compulsive sexual behavior disorder (CSBD) is currently defined in the eleventh revision of the International Classification of Diseases (ICD-11) as an impulse control disorder. Criteria for hypersexual disorder (HD) had been proposed in 2010 for the fifth revision of Diagnostic and Statistical Manual (DSM-5). In this article, we compare differences between HD and CSBD and discuss their relevance. Significant differences between HD and CSBD criteria include: (1) the role of sexual behavior as a maladaptive coping and emotion regulation strategy listed in criteria for HD but not in those for CSBD; (2) different exclusionary criteria including bipolar and substance use disorders in HD but not in CSBD, and (3) inclusion of new considerations in CSBD, such as moral incongruence (as an exclusion criterion), and diminished pleasure from sexual activity. Each of these aspects has clinical and research-related implications. The inclusion of CSBD in the ICD-11 will have a significant impact on clinical practice and research. Researchers should continue to investigate core and related features of CSBD, inlcuding those not included in the current criteria, in order to provide additional insight into the disorder and to help promote clinical advances.
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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 | 0.004 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".