Dimensions of pain and sex in vulvar vestibulitis syndrome
Why this work is in the frame
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Bibliographic record
Abstract
Vulvar vestibulitis syndrome is believed to be the most common form of premenopausal dyspareunia and represents an excellent candidate in which to investigate the interaction of cognitive, affective, and physiological factors. The first empirical investigation in this thesis explored pain information processing in a group of 17 women suffering from vulvar vestibulitis syndrome and an equal number of age-matched controls. Women with vulvar vestibulitis reported greater hypervigilance for coital pain, and also exhibited a selective attentional bias towards pain stimuli on an emotional Stroop task. The second empirical investigation sought to explore the implications of hypervigilance for pain during sex on sexual arousal and subsequent sensory processing in this same clinical population. Twenty women suffering from vulvar vestibulitis syndrome and an equal number of age-matched control participants underwent genital and non-genital sensory testing in response to erotic and neutral stimulus films. In response to the erotic stimulus, both groups evidenced an increase in physiological sexual arousal and genital sensitivity, however, women with vulvar vestibulitis reported lower levels of mental sexual arousal. In addition, women with vulvar vestibulitis evidenced greater genital and non-genital sensitivity as compared with healthy participants across all conditions. Two literature reviews are also included to examine the classification, diagnosis, and treatment of vulvar vestibulitis syndrome. A final methodological paper is included in order to provide a historical review and technical guide for the labial thermistor clip, a measure of physiological sexual arousal in women which was revived and refined for use in the second study. Taken together, this body of work illustrates the complex interactions between the pain and sexual processing systems implicated in vulvar vestibulitis syndrome.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 it