Loving Oneself: The Associations Among Sexually Explicit Media, Body Image, and Perceived Realism
Bibliographic record
Abstract
Online sexually explicit material (SEM) is a popular media source, but little is known about its association with body image. This study explored whether perceived realism of SEM mediated the direct association of SEM use on body image while accounting for gender differences. Young adults (N = 393; ages 19 to 30; 53.4% women) recruited through a crowdsourcing Web site completed an anonymous online survey that assessed SEM use, perceptions of the realism of SEM, and body image. Body satisfaction, genital self-image, comfort being nude, penis-/breast-size satisfaction, and self-esteem were used to create the variable of body image. SEM use had a positive indirect association with body image through perceived realism for both men and women. Follow-up analyses revealed this association was due to body satisfaction and self-esteem in men and comfort being nude and self-esteem in women. Findings are discussed in terms of implications for clinical applications and understanding young adults’ body image.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".