From disorder to dimensionality: Reconceptualizing compulsive sexual behavior—Commentary on Grubbs and Boness (2025).
Bibliographic record
Abstract
Comments on the article by J. B. Grubbs and C. L. Boness (see record 2025-66167-001). Compulsive sexual behavior (CSB) is a complex and often misunderstood condition, characterized by persistent, distressing patterns of out-of-control sexual behavior. Despite increasing prevalence, CSB remains diagnostically ambiguous and is subject to ongoing debate about how it should be conceptualized. While various existing frameworks capture core aspects of the condition, none seems to fully account for its diverse features. This commentary argues that rigid categorical diagnostic models may be limiting progress in both research and clinical care for CSB. Instead, a multidimensional, process-oriented approach is proposed, drawing on the Research Domain Criteria framework to better understand the underlying mechanisms of CSB. Through this approach, CSB is conceptualized not as a unidimensional disorder but as a syndrome with multiple pathways and individualized presentations. Implications for assessment, diagnosis, and treatment are discussed, with a call for research to identify distinct subtypes and develop modular, targeted interventions. Embracing the complexity of CSB may ultimately lead to a more nuanced understanding of its presentation and better treatment outcomes. (PsycInfo Database Record (c) 2026 APA, all rights reserved).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.016 | 0.062 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.007 | 0.016 |
| Scholarly communication | 0.006 | 0.015 |
| Open science | 0.009 | 0.006 |
| Research integrity | 0.054 | 0.068 |
| Insufficient payload (model declined to judge) | 0.006 | 0.005 |
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".