Communication patterns in women with provoked vestibulodynia and their partners
Bibliographic record
Abstract
Provoked vestibulodynia (PVD) is a recurrent vulvovaginal pain condition that has potentially negative consequences for women and their partners’ sexual functioning and overall quality of life. Research has found that greater observed empathic responses during conversations about the impact of vulvodynia are associated with greater relational and sexual satisfaction. However, observed self-disclosure was unrelated to relational or sexual satisfaction, perhaps due to the psychometric properties of the coding system used. The current study investigated observed empathic responses and self-disclosures in couples using a validated coding system, the Rapid Marital Interaction Coding System (RMICS). Eight women diagnosed with PVD and their male partners completed measures of relational and sexual satisfaction and spent seven minutes discussing an issue that the woman rated as moderately distressing. Coded interactions were analysed using pooled-regression actor-partner interdependence modelling (APIM). Results indicated that higher observed own and partner empathic responses were associated with greater relationship satisfaction, and greater observed own empathic responses were associated with greater sexual satisfaction. Greater observed own self-disclosures were negatively associated with sexual satisfaction. The findings suggest that empathy may help to buffer the effects of PVD on relationship satisfaction, whereas some types of self-disclosure may exacerbate the sexual impact of PVD.
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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 | 0.006 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".