The Sacred, the Sinful, and the Shamed: The Association Between Compulsive Sexual Behavior, Moral Disapproval, and Sexual Shame Among Jewish Religious Adolescents
Bibliographic record
Abstract
Objectives: Compulsive sexual behavior (CSB) has recently been recognized as a possible disorder (CSBD) by the World Health Organization (ICD-11) and may affect a significant portion of adolescents. Yet the relationship between CSB, religious values, and sexual shame remains underexplored in this population. This study investigated how CSB, moral disapproval, and sexual shame intersect among Orthodox Jewish adolescents. Methods: = 1.36), the study examined the role of moral disapproval, which arises when sexual behaviors conflict with religious beliefs, in amplifying sexual shame. Results: CSB was positively correlated with moral disapproval (particularly of masturbation, pornography, and non-pornographic sexual content) and with sexual shame, suggesting a potential reinforcing cycle between religious guilt and compulsive sexual behaviors. Network analysis revealed that more religious adolescents experienced distinct clusters of moral disapproval, with masturbation emerging as a central concern. Conclusions: Findings suggested that adolescents in religious communities might face heightened sexual shame due to the internal conflict between their sexual behaviors and religious ideals, emphasizing the importance of addressing both moral disapproval and CSB in therapeutic and educational settings. By fostering open dialogue around these topics, interventions can help mitigate shame and promote healthier sexual development within religious contexts.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".