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Record W4401022154 · doi:10.3138/cjhs-2023-0045

At a loss for words: A qualitative exploration of female genital knowledge among obstetrics and gynecology patients

2024· article· en· W4401022154 on OpenAlexaffvenue
Taylor Roebotham, Colleen MacKenzie, Taryn Taylor

Bibliographic record

VenueThe Canadian Journal of Human Sexuality · 2024
Typearticle
Languageen
FieldMedicine
TopicFemale Genital Mutilation/Cutting Issues
Canadian institutionsVictoria HospitalLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsObstetrics and gynaecologyFemale circumcisionQualitative researchGynecologyObstetricsMedicineSex organPsychologyFamily medicineMedical educationPregnancySociology

Abstract

fetched live from OpenAlex

Patient health literacy, including basic anatomy knowledge, leads to improved communication and better health outcomes. Limited empirical data suggests that external genital anatomy may represent a particular knowledge gap. To inform future health literacy improvement efforts, we explored patient perspectives about how gynecologic anatomical literacy is generated and applied. Twenty semi-structured interviews with obstetrics and gynecology patients at a tertiary care centre were conducted to explore their knowledge of female genital anatomy and the origins of that knowledge. Thematic analysis was performed comparatively and iteratively, informed by principles of constructivist grounded theory. Participants highlighted an overwhelming lack of health education and high levels of internalized shame, leaving them ill-equipped to engage in conversations about their genitalia with healthcare providers. To combat this, participants attempted to construct knowledge for themselves; however, many grappled to identify reliable sources of information and felt uncertainty when communicating about their bodies. These findings contribute to an ongoing conversation about how an avoidance of naming may perpetuate the passivity and embarrassment that women experience regarding their reproductive health. Healthcare providers are well-situated to improve patient self-perception by using purposeful language and working to address both patient knowledge and activation.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.659
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.099
GPT teacher head0.383
Teacher spread0.283 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueThe Canadian Journal of Human SexualitySame topicFemale Genital Mutilation/Cutting IssuesFrench-language works237,207