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Record W2092566922 · doi:10.1080/13691058.2013.841291

Sexual practices, identities and health among women who have sex with women in Lesotho – a mixed-methods study

2013· article· en· W2092566922 on OpenAlexaff
Tonia Poteat, Carmen H. Logie, Darrin Adams, Judith Lebona, Puleng Relebohile Letsie, Chris Beyrer, Stefan Baral

Bibliographic record

VenueCulture Health & Sexuality · 2013
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLesbianMedicineHuman immunodeficiency virus (HIV)Safer sexReproductive healthDemographySexual identityGender studiesPsychologyHuman sexualityPopulationFamily medicineCondomSyphilisEnvironmental healthSociology

Abstract

fetched live from OpenAlex

Despite the high prevalence of HIV and STIs among women in Africa and the growing literature on HIV and STIs among women who have sex with women, research on the sexual health of women who have sex with women in Africa is scant. This study used mixed methods to describe sexual identity, practices and health among women who have sex with women in Lesotho. Most respondents (48%) described themselves as lesbian, 29% as bisexual and 23% as heterosexual. Almost half (45%) had disclosed their same-sex attraction to family, but only 25% had done so with healthcare workers. A total of 8% reported having HIV. Self-reported HIV was associated with having three or more male partners, having male and female partners at the same time and having a history of STIs. Gender norms, the criminalisation of homosexuality, varied knowledge of, and access to, safer-sex strategies, and mixed experiences of HIV/STI testing and sexual healthcare provided social and structural contexts for HIV- and STI-related vulnerability.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.062
GPT teacher head0.472
Teacher spread0.410 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations25
Published2013
Admission routes1
Has abstractyes

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