The challenges of involving traditional healers in HIV/AIDS care
Bibliographic record
Abstract
In sub-Saharan Africa, traditional healers play a major role in providing for the needs of people, particularly in rural areas where western health care is unavailable. Despite a paucity of reliable figures to determine the prevalence of traditional medicine usage, it is estimated that some 70% of sub-Saharan Africans access traditional healers. There is now mounting evidence of the importance of involving traditional healers in the management of the HIV/AIDS epidemic--both for their potential benefits, although poorly researched and understood, and to reduce the impact that some traditional healing interventions may play on the spread of HIV/AIDS and unsafe treatment of infected patients. While there are few collaborative projects between traditional healers and biomedical health providers, there is an enthusiasm on the part of traditional healers to collaborate and learn from their western-trained counterparts. Collaboration is essential, given the changing epidemic of HIV and the dynamic relationship between the two health sectors.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".