Assessing gender-specificity of clitoral responses
Bibliographic record
Abstract
Androphilic (i.e., sexually attracted to men) women’s vaginal and vulvar responses tend to be gender-nonspecific, meaning that their genital responses to male and female sexual stimuli are relatively similar. Men’s genital responses are gender-specific, in that penile responses are greater to preferred sexual stimuli than nonpreferred sexual stimuli. To date, however, no research has been conducted on the specificity of clitoral responses (i.e., the organ homologous to the penis). The purpose of the current study was to assess gender-specificity of self-reported sexual arousal, vaginal, and clitoral responses in androphilic women. We expected women’s self-reported and vaginal responses to be gender-nonspecific and their clitoral responses to be gender-specific. Forty androphilic women were presented with 90 second sexual (female masturbation and male masturbation) and neutral (nature scene) audio-visual stimuli. Responses were recorded continuously throughout the stimuli using a keypad and combination vaginal and clitoral photoplethysmograph. Consistent with our predictions, self-reported sexual arousal and vaginal responses were gender-nonspecific, such that androphilic women responded similarly to the male and female masturbation stimuli. Counter to our prediction, clitoral responses were also gender-nonspecific. Given that this is the first study to use clitoral photoplethysmography to assess gender-specificity, we discuss the results in the larger context of sexual psychophysiological research, including the importance of contextual features in stimuli, and offer directions for future research.
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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 | 0.002 |
| 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".