Pornography consumption and its association with sexual concerns and expectations among young men and women
Bibliographic record
Abstract
The often narrow representations of sexual performance and physical attractiveness in pornography may be linked to sexual concerns and sexual expectations among young men and women (e.g., body- and performance-related sexual distractions, negative genital self-image, expectations of one's partner). Investigation of the relations between these constructs is needed to assess the potential impact of pornography on young adult's sexual lives. Undergraduate men (n=333) and women (n=668) completed an online survey assessing pornography viewership, body- and performance-related cognitive distractions during sexual activity, genital self-image, and pornography-based partner expectations. Multivariate regression analyses revealed that visual pornography viewership was uniquely associated with higher partner performance expectations among women. Among men, visual pornography viewership was uniquely associated with body- and performance-related cognitive distractions during sexual activity. Literary pornography use was not uniquely associated with these variables among men or women. The results of this investigation suggest that individuals who consume visual pornography may experience some forms of sexual insecurity and sexual expectations related to their pornography use. Importantly, many sexual concerns were unrelated to pornography consumption, which is consistent with research in favour of pornography consumption as a healthy sexual outlet for young adults.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".