Sexual communication patterns of heterosexual-identified men who have sex with men
Bibliographic record
Abstract
The sexual communication patterns that comprise how heterosexual men with concordance between identity and behavior navigate their sexual encounters with women are well-established. Some heterosexual men experience discordance between their sexual identities and behaviors and may have unique practices of sexual communication, but this has not been studied. Knowledge of their sexual communication practices is an important step toward understanding and improving their sexual experiences. Therefore, semi-structured interviews were conducted with 11 heterosexual-identified men who have sex with men to learn more about their sexual communication strategies. Three themes were identified through interpretative phenomenological analysis: meeting sex partners, clear communication with men, and poor communication with women. Findings suggest that sexual communication is gendered. Participants reported utilizing short and explicit verbal and written communication strategies with other men via the internet and in various sexualized venues. Yet, participants more frequently used implicit sexual cues as the primary source of sexual communication when with women. Implications related to boosting sexual satisfaction and preventing nonconsensual sexual encounters are discussed.
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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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".