Circumcision as conquest: Masculinity in Eswatini’s voluntary medical male circumcision campaign materials
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".