Reaching the poor: what works? A health equity analysis of the MICAH (Micronutrient and Health) initiative in Malawi
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
This graduate thesis has been associated with a research initiative funded by the World Bank called "Reaching the Poor" which examines how well "Health, Nutrition and Population (programs) are reaching disadvantaged population groups, and (explores) ways of reaching those groups more effectively" (PAHO/WHO, 2002, p. 1). The MICAH initiative in Malawi, the case study for this research, is part of an integrated nutrition and health program managed by World Vision Canada that targets 4 million people in five African countries (Malawi, Ethiopia, Ghana, Senegal and Tanzania). This research examines how well program benefits of the MICAH in Malawi reached disadvantaged groups through a health equity analysis of secondary data from MICAH (2000) household surveys. Further, field work carried out in Malawi, used participatory methodology to explore 'what worked', 'what didn't work' and 'what could work better' at reaching disadvantaged groups with the health and nutrition efforts of MICAH.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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