Ultrasonography and thermography as psychophysiological measures of sexual arousal in men and women
Bibliographic record
Abstract
Current physiological measures of sexual arousal are intrusive, hard to compare between genders, quantitatively problematic and not clinically useful. The goal of this thesis was to examine alternative methods of measuring sexual arousal through the use of ultrasonography and thermography. In the first empirical study, the validity of clitoral ultrasound as a measure of female sexual arousal was examined. Results indicated that standard ultrasound measures (peak systolic velocity, end diastolic velocity and resistance index) did not differentiate participants in the sexual arousal condition from those in a pleasant arousal control condition. Furthermore, none of the ultrasound measures were correlated with self-reported sexual arousal. In the second empirical investigation, thermography was evaluated as a measure of sexual arousal in both men and women. Results from this study demonstrated that genital temperature as measured by thermography could detect and differentiate sexual arousal from neutral and pleasant arousal control conditions. In addition, genital temperature was significantly correlated with self-reported sexual arousal for both men and women. In the third empirical investigation, the use of thermography as a measure of sexual arousal was examined in a sample of 30-45 year old men and women. Results were similar to the second study in that genital temperature was significantly greater for participants in the sexual arousal condition as compared to neutral, pleasant arousal and anxiety control conditions. Additionally, continuous measurement of self-reported sexual arousal was significantly correlated with genital temperature change for both men and women. Together, this body of work demonstrates the potential utility of thermography as a measurement tool to study sexual arousal.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".