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Record W2025774441 · doi:10.1080/03630240802575120

Are Lesbians Really Women Who Have Sex with Women (WSW)? Methodological Concerns in Measuring Sexual Orientation in Health Research

2008· article· en· W2025774441 on OpenAlexaff
Greta R. Bauer, Jennifer A. Jairam

Bibliographic record

VenueWomen & Health · 2008
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsSt. Michael's HospitalWestern University
Fundersnot available
KeywordsComparabilitySexual orientationCategorical variablePsychologyReproductive healthGender identityPsychological interventionSexual identitySexual minoritySocial psychologyDevelopmental psychologyClinical psychologyDemographyHuman sexualityGender studiesSociologyStatisticsPopulation

Abstract

fetched live from OpenAlex

Varying measures of sexual orientation are used in women's health research. As they incorporate different dimensions, definitions, and categorical groupings, the comparability of results obtained across studies using different measures remains unknown. We examined the comparability of results using data from the U.S. 2002 National Survey of Family Growth (n = 6,356). Women were classified according to sexual orientation identity, sex of sex partners in the past year, and sex of sex partners over the lifetime. Associations with six health outcomes were compared across sexual orientation schemes. Associations differed in magnitude and statistical significance, even producing conflicting results. Our analyses resulted in a series of methodological recommendations for research on sexual minority women. Data on both behavioral and identity measures should be gathered in health research; identity groups should not be combined for analysis; and researchers should carefully consider which classification scheme(s) to use based on the theoretical basis for the study and the implications for informing interventions.

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)0.019
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.216
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.494
GPT teacher head0.522
Teacher spread0.027 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations89
Published2008
Admission routes1
Has abstractyes

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