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Record W4375928054 · doi:10.1080/17441692.2023.2208202

Circumcision as conquest: Masculinity in Eswatini’s voluntary medical male circumcision campaign materials

2023· article· en· W4375928054 on OpenAlexaff
Sarah Rudrum

Bibliographic record

VenueGlobal Public Health · 2023
Typearticle
Languageen
FieldMedicine
TopicGenital Health and Disease
Canadian institutionsAcadia University
Fundersnot available
KeywordsHuman sexualitySloganMasculinityPublic healthGender studiesReproductive healthPolitical sciencePopulationMedicineSociologyLawEnvironmental healthNursingPolitics

Abstract

fetched live from OpenAlex

As a public health intervention related to sexual transmission and involving genital surgery, male circumcision for HIV prevention necessarily relates to understandings of sexuality and gender, a relationship which public health campaign materials have shaped in varying ways. Here, I employ discourse analysis to examine messages about gender and sexuality in Eswatini’s Soka Uncobe (Circumcise and Conquer) public health campaign for voluntary medical male circumcision (VMMC). The slogan 'conquest' echoes nationalist imagery and extends throughout campaign materials, such as in a comic book presenting the circumcising man as a hero vanquishing an enemy. Elsewhere, campaign materials use the slogan to link sexual conquest to the conquest of HIV in a move that is misleading and potentially harmful. As with several circumcision campaigns in the region, messages about the HIV protection offered through the intervention and the limits to this protection are minimal and are overshadowed by a framing of circumcision as a newly necessary norm for appropriate masculine citizenship and sexuality. This consideration of the positioning of gender, sexuality, and sex in campaign materials promoting VMMC is pertinent to the global public health effort to reduce HIV transmission, particularly given the social complexities at stake in the context of sexual transmission.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.559
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.004

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 head0.050
GPT teacher head0.378
Teacher spread0.328 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2023
Admission routes1
Has abstractyes

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