Inferring Sexually Deviant Behavior From Corresponding Fantasies
Bibliographic record
Abstract
There is widespread concern that deviant sexual fantasies promote corresponding behaviors. The authors investigated whether that concern is valid in nonoffender samples. Self-reports of nine deviant sexual fantasies and behaviors were compared in two samples of male undergraduates. In Study 1, 95% of respondents reported experiencing at least one sexually deviant fantasy, and 74% reported engaging in at least one sexually deviant behavior. The correlations were all positive and averaged .44. However, only 38% of the high-fantasy group reported acting out fantasies. The effect of pornography use on deviant behaviors was partially mediated by increases in deviant fantasies. Study 2 investigated possible moderators, including eight personality variables. The fantasy-behavior association held only for those high in self-reported psychopathy. In addition, the association between pornography use and deviant sexual behavior held only for participants high in psychopathy. Overall, theoretically relevant individual difference variables moderated the relation between sexually deviant fantasies and behaviors and between pornography use and deviant behaviors.
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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 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".