Characteristics of Women with Vulvar Pain Disorders: Responses to a Web-Based Survey
Bibliographic record
Abstract
This article presents data contributed by 428 highly educated, internet-savvy women who frequented various vulvar pain discussion lists. The age range was in the reproductive years and older and over 90% were Caucasians. No country of origin was given. They had a number of distressing symptoms, including vulvar pain at rest and with contact, burning, itching, redness, and inflammation. Most felt that they had either vulvar vestibulitis, vulvodynia, or both, although they had other vulvar conditions as well. Many felt that yeast infections, stress, antibiotics, infections, and chemicals played a contributing role. There were a number of comorbidities, including irritable bowel syndrome, fibromyalgia, and interstitial cystitis. Sexual abuse was not a major issue. The vulvar pain destroyed or altered then sex lives, lowered their self-esteem, and affected their relationships. Often, they relied upon understanding partners, support groups, and hobbies but not the medical profession for comfort.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".