Use of Rapid Ethnographic Methodology to Develop a Village-Level Rapid Assessment Tool Predictive of HIV Infection in Rural India
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
In rural India, with hundreds of thousands of villages, a priority from a programmatic perspective is to efficiently determine which villages are at highest risk of HIV/AIDS transmission. The authors first report on the use of a rapid ethnographic approach in 10 rural villages of Karnataka, India, to develop a domains and indicators framework of village-level HIV/AIDS risk and a subsequent rapid assessment tool. They then analyze the rapid ethnographic approach and the rapid assessment tool to discuss differences and commonalities among rapid designs. They also discuss if these studies can be properly categorized as ethnographies, are mainly qualitative in nature, and are in essence participatory, and how appropriate they are to the public health field in general and the HIV/AIDS field in particular.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.016 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it