An embodied exercise to address HIV- and tuberculosisrelated stigma of healthcare workers in Southern Africa
Bibliographic record
Abstract
Healthcare workers (HCW) face the risk of occupational exposure to infectious diseases, especially in countries with high burdens of tuberculosis (TB) and human immunodeficiency virus (HIV). Disclosure of TB and/or HIV status is needed to ensure prompt action and treatment, and, in the case of TB, prevent transmission to co-workers and patients. Traditional education and training has had limited impact. It is known that stigma plays a major role in hindering disclosure of HIV status and accessing treatment. Participatory theatre has been used to cultivate communication skills and empathy. We therefore incorporated an embodied stigma exercise into a multi-country collaboration, in which we brought 78 HCWs from seven hospitals to one of three workshops in South Africa, Mozambique and Zimbabwe, respectively. We describe the exercise, highlight the skilled facilitation needed and present results from exit evaluations and interviews with participants. Some changes in attitudes were noted and our observations provide a basis for considering use of embodied methods in efforts to reduce workplace stigma.
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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 | 0.000 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".