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Record W6966613047 · doi:10.3886/icpsr38675

Vulvovaginal Pain Experiences: Race and Healthcare Seeking, United States, 2021

2023· dataset· en· W6966613047 on OpenAlexaboutno aff

Bibliographic record

VenueICPSR Data Holdings · 2023
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsRace (biology)Ethnic groupDistressExploratory researchHealth careChronic painCross-sectional studyPerceptionScale (ratio)White (mutation)

Abstract

fetched live from OpenAlex

This study was an exploratory cross sectional survey designed to explore the experiences of people of color with chronic vulvovaginal pain (CVVP) related to the quality and intensity of their pain in various contexts, the effect of their CVVP on general sexual function, the effect of their CVVP on their relationships, their experiences managing a chronic pain condition, their experiences attempting to seek treatment, and their perceptions of medical mistrust. The survey included both ad hoc items and validated psychometric measures, including the McGill Pain Questionnaire, the Female Sexual Distress Scale-Revised, the Chronic Pain Acceptance Questionnaire 8-Item, and the Group Based Medical Mistrust Scale (GBMMS). A primary goal of this study was to better understand the experiences of people of color with CVVP, defined as any person who identifies as a race and/or ethnicity other than White non-Hispanic/Latinx. Additionally, this study aimed to examine associations between perceptions of medical mistrust measured via the GBMMS and healthcare seeking outcomes related to diagnostic delay.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.040
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0050.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.008

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.

Opus teacher head0.061
GPT teacher head0.340
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreDataset

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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Same venueICPSR Data HoldingsFrench-language works237,207