The Influence of Physical Body Traits and Masculinity on Anal Sex Roles in Gay and Bisexual Men
Bibliographic record
Abstract
Sociological, psychological, and public health studies document that many gay and bisexual men may self-label by their anal penetrative role (i.e., bottom or exclusively receptive; top or exclusively insertive; or versatile, both receptive and insertive during anal intercourse). Yet, what orients men to think of themselves as tops, bottoms or versatiles is poorly understood. We surveyed 429 men engaging in same-sex anal intercourse to investigate the degree to which anal penetrative self-identity was concordant with actual penetrative behavior. Additionally, the roles of masculinity and physical body traits (e.g., penis size, muscularity, height, hairiness, and weight) were tested as correlates of anal penetrative identity and identity-behavior concordance. Tops and bottoms showed a high degree of concordance between identity and enacted behavior; however, only half of versatiles reported concordant identity and behavior (i.e., wanting to be versatile and actually reporting versatile behavior). Generally, tops reported larger penises than bottoms. They also reported being comparatively more masculine than bottoms. Versatiles fell somewhat between the tops and bottoms on these traits. Of the six independent variables, penis size and masculinity were the only two factors to influence concordance or discordance between identity and penetrative behavior. Our study suggests that the correlates of gay men’s sexual self-labels may depend on objective traits in addition to the subjective pleasure associated with receptive or insertive anal intercourse.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".