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Record W2154114279 · doi:10.1177/1524839903257307

Lesbian Health Matters: A Pap Test Education Campaign Nearly Thwarted by Discrimination

2004· article· en· W2154114279 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHealth Promotion Practice · 2004
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsWomen's Health Research Institute
Fundersnot available
KeywordsLesbianNewspaperPublicityPap testTest (biology)MedicinePublic healthCervical cancerHealth educationFamily medicineCervical cancer screeningPsychologyAdvertisingNursingCancerPolitical scienceBusiness

Abstract

fetched live from OpenAlex

The Pap test detects cell changes in the cervix that can be treated, preventing cancer from developing. Regular screening reduced cervical cancer deaths by 70% since 1950. Lesbians may not be adequately screened because of a misperception that they do not need Pap tests. The "Lesbian Health Matters" public and provider education campaign was implemented to address this problem. Paid advertisements were placed on two radio stations and in four newspapers. After 1 week, both radio stations cancelled the ads due to listener complaints about hearing the word "lesbian" on the radio. The community responded to this discriminatory action by demanding the campaign be completed, creating publicity that increased the campaign's reach to 34% of women in the region. A training program was implemented reaching 219 providers. Thirty-two hundred health providers were surveyed regarding lesbian-friendly practice. A database of 293 providers was created and 120 referrals made.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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: Commentary · Consensus signal: none
Teacher disagreement score0.718
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.056
GPT teacher head0.450
Teacher spread0.394 · 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