“Money talks, bullshit walks” interrogating notions of consumption and survival sex among young women engaging in transactional sex in post-apartheid South Africa: a qualitative enquiry
Bibliographic record
Abstract
BACKGROUND: Transactional sex is believed to be a significant driver of the HIV epidemic among young women in South Africa. This sexual risk behaviour is commonly associated with age mixing, concurrency and unsafe sex. It is often described as a survival- or consumption-driven behaviour. South Africa's history of political oppression as well as the globalization-related economic policies adopted post-apartheid, are suggested as the underlying contexts within which high risk behaviours occur among Black populations. What remains unclear is how these factors combine to affect the particular ways in which transactional sex is used to negotiate life among young Black women in the country.In this paper we explore the drivers of transactional sex among young women aged 16-24, who reside in a peri-urban community in South Africa. We also interrogate prevailing constructions of the risk behaviour in the context of modernity, widespread availability of commodities, and wealth inequalities in the country. METHODS: Data were collected through 5 focus group discussions and 6 individual interviews amongst young women, men, and community members of various age groups in a township in the Western Cape, South Africa. FINDINGS: Young women engaged in transactional sex to meet various needs: some related to survival and others to consumption. In this poverty-stricken community, factors that created a high demand for transactional sex among young women included the pursuit of fashionable images, popular culture, the increased availability of commodities, widespread use of global technologies, poverty and wealth inequalities. Transactional sex encounters were characterized by sexual risk, a casual attitude towards HIV, and male dominance. However, the risk behaviour also allowed women opportunities to adopt new social roles as benefactors in sexual relationships with younger men. CONCLUSION: Transactional sex allows poor, young women to access what young people in many parts of the world also prioritize: fashionable clothing and opportunities for inclusion in popular youth culture. In the context of high HIV prevalence in South Africa, strategies are needed that present young women with safer economic gateways to create and consume alternative symbols of modernity and social inclusion.
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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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.013 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".