I'm Not a "Basabasa" Woman: An Explanatory Model of HIV Illness in Ghanaian Women
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Ghana continues to experience an increase in the rate of infection with the human immunodeficiency virus (HIV), with more new infections occurring in women than in men. Prevailing views of health and illness, including indigenous knowledge and traditional beliefs, are an important component of the broad context of disease transmission. Participatory action research was used to explore the explanatory model of HIV illness of 31 seropositive Ghanaian women. Also interviewed were 5 HIV seropositive men, 2 traditional healers, 8 nurses, and 10 professionals, individually and in focus groups, to reflect on the women's comments and the themes emerging from the data. In this article, the women's beliefs about HIV illness will be discussed and their views about the etiology, pathophysiology, symptomology, course of illness, and methods of treatment for their illness will be described. Findings illustrate areas of divergence and convergence between traditional and biomedical explanations of, and treatment for, HIV illness. The necessity for health professionals, particularly nurses, to understand individual and community perceptions about HIV illness is highlighted by the study findings.
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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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it