Stigma, Denial of Health Services, and Other Human Rights Violations Faced by Sex Workers in Africa: “My Eyes Were Full of Tears Throughout Walking Towards the Clinic that I Was Referred to”
Bibliographic record
Abstract
Abstract An ethical and forward-looking health sector response to sex work aims to create a safe, effective, and non-judgemental space that attracts sex workers to its services. Yet, the clinical setting is often the site of human rights violations and many sex workers experience ill-treatment and abuse by healthcare providers. Research with male, female, and transgender sex workers in various African countries has documented a range of problems with healthcare provision in these settings, including: poor treatment, stigmatisation, and discrimination by healthcare workers; having to pay bribes to obtain services or treatment; being humiliated by healthcare workers; and, the breaching of confidentiality. These experiences are echoed by sex workers globally. Sex workers’ negative experiences with healthcare services result in illness and death and within the context of the AIDS epidemic act as a powerful barrier to effective HIV and STI prevention, care, and support. Conversely positive interactions with healthcare providers and health services empower sex workers, affirm sex worker dignity and agency, and support improved health outcomes and well-being. This chapter aims to explore the experiences of sex workers with healthcare systems in Africa as documented in the literature. Findings describe how negative healthcare workers’ attitudes and sexual moralism have compounded the stigma that sex workers face within communities and have led to poor health outcomes, particularly in relation to HIV and sexual and reproductive health. Key recommendations for policy and practice include implementation of comprehensive, rights-affirming health programmes designed in partnership with sex workers. These should be in tandem with structural interventions that shift away from outdated criminalized legal frameworks and implement violence prevention strategies, psycho-social support services, sex worker empowerment initiatives, and peer-led programmes.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.007 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".