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Record W4416015496 · doi:10.1177/10497323251382391

Strategies for Sexual Health Promotion: A Qualitative Inquiry Into the Experiences of Female Genital Cutting, Circumcision, or Mutilation Survivors

2025· article· en· W4416015496 on OpenAlexafffundabout
Emmanuelle Gareau, Christina Zarowsky, Olivier Ferlatte

Bibliographic record

VenueQualitative Health Research · 2025
Typearticle
Languageen
FieldMedicine
TopicFemale Genital Mutilation/Cutting Issues
Canadian institutionsUniversité de Montréal
FundersFonds de Recherche du Québec - Santé
KeywordsHuman sexualityReproductive healthAgency (philosophy)Qualitative researchFocus groupHealth carePromotion (chess)Sex organ

Abstract

fetched live from OpenAlex

Although female genital cutting, circumcision, or mutilation (FGC/M) can substantially affect survivors' sexual health, there is limited research on the strategies they use to promote their sexual health. Using intersectionality, this interpretive description study aimed to explore and describe the perspectives and experiences of FGC/M survivors in Canada regarding their sexuality and their sexual health to identify self-driven sexual health promotion strategies. Based on semi-structured interviews with 27 women who underwent FGC/M and were currently living in Canada, we inductively identified three themes: (a) Challenging norms and striving for sexual liberation by educating oneself; (b) Cultivating sexual agency through resilience; and (c) Building a community of care to support sexual empowerment. This study offers guidance to both FGC/M survivors and their healthcare providers on potential sexual health promotion strategies based on education, action, and support. It is a first step toward understanding the sexual health of FGC/M survivors from a global and holistic perspective, moving beyond a narrow focus on anatomical and physiological functioning.

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)0.027
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0270.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.551
GPT teacher head0.633
Teacher spread0.082 · 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 designQualitative
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 routes3
Has abstractyes

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