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Record W4410078154 · doi:10.1080/13691058.2025.2498425

Do you do hymenoplasty? Doctors’ ethical, cultural and social dilemmas when faced with this question

2025· article· en· W4410078154 on OpenAlexaffabout
Carole Anderson, James Cresswell, Gianna Tetz, Somayyeh Zare

Bibliographic record

VenueCulture Health & Sexuality · 2025
Typearticle
Languageen
FieldMedicine
TopicFemale Genital Mutilation/Cutting Issues
Canadian institutionsUniversity of SaskatchewanBurman University
Fundersnot available
KeywordsPsychologySocial psychologySociology

Abstract

fetched live from OpenAlex

Hymenoplasty is a procedure to surgically restore the hymen, a thin membrane that partially closes the entrance to the vagina and which may be ruptured due to sexual activity. It is requested by women whose culture demands they prove their virginity by bleeding on their wedding night. As a result, this surgery is filled with ethical and legal controversy surrounding virginity, sexual equality, and women's rights to bodily autonomy and self-determination. This paper is a qualitative analysis of conversations with four Canadian doctors faced with the request for hymenoplasty and their experiences and decision-making process. Results indicate doctors relied on values of self-determination, bodily autonomy, honesty and integrity, and ethical principles of informed consent, competence, privacy, confidentiality, and culture and gender awareness, to inform their decision making. In their dialogues they placed different weight on the biological aspects of the surgery, culture, and personal autonomy resulting in different decisions and actions in response to the request. In addition, compartmentalisation, simplification, distance, differentiation and responsiveness appeared to assist the doctors in engaging with the discomfort and ethical dilemmas inherent in responding to the request for hymenoplasty. Future research is needed to verify these results and to explore the impact of the differing approaches to the women requesting the surgery.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.403
Threshold uncertainty score0.917

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.054
GPT teacher head0.402
Teacher spread0.348 · 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 designNot applicable
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

Citations0
Published2025
Admission routes2
Has abstractyes

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