Gender-Specificity of Genital Response and Self-Reported Sexual Arousal in Women Endorsing Facets of Bisexuality
Bibliographic record
Abstract
Gender-specific sexual arousal has been examined in women with sexual attractions toward predominantly women or men, but not in women reporting sexual attractions to both genders. In this study, women who endorsed one or more facets of bisexuality—sexual orientation, sexual identity, romantic attraction, sexual fantasy, sexual behavior—listened to narratives describing sexual and nonsexual interactions with female and male partners while their genital response and self-reported sexual arousal were assessed. Contrary to expectations, across the bisexuality facets, female gender cues produced a greater degree of genital response and self-reported sexual arousal than male gender cues, regardless of the number of facets of bisexuality that were endorsed. This pattern of results replicates those obtained by Timmers, Bouchard, and Chivers (2015) using audiovisual stimuli. Implications for our understanding of women's sexual attractions and response 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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".