Problematic Hypersexuality: A Review of Conceptualization and Diagnosis
Bibliographic record
Abstract
There has been considerable debate regarding the conceptualization and diagnosis of individuals exhibiting problematic hypersexuality. Various terms such as sexual addiction, sexual compulsivity, and sexual impulsivity have been applied based predominantly on the perceived psychopathological mechanisms guiding the behavior. Unfortunately, such descriptive diversity has inhibited adequate conceptualization and current diagnostic practices, which in turn, have negatively impacted treatment design. This paper critically reviews the extant literature regarding the conceptualization and diagnosis of problematic hypersexuality. Additionally, this review highlights the utility of a relatively new conceptualization of problematic hypersexuality, the Sexual Desire Disorders model, which accounts for many of the limitations inherent in previous explanatory models. Finally, diagnostic, conceptual, and treatment implications are discussed.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".