Formative Research on Acceptability of Pearl Millet in Rural Eastern Kenya – A Pilot Study
Bibliographic record
Abstract
<p class="Style1">This study explored the acceptability of pearl millet grain in rural Eastern Kenya. Ninety seven households accepted to plant pearl millet. These were the 37 who were part of the study and other 60 who were not part of the study. When requested to barter 2 kg pearl millet with maize, 33 (85%) out of 39bartered with maize, 2 (5%) with sorghum, 2 (5%) with chicken and 2 (5%) with money. The average score for skill attainment was 88% with 92.5% mothers readily gaining the skill to prepare and incorporate pearl millet into the daily diet of children. Children liked pearl millet when given with a low of 77.8% and a high of 93.2%. These findings suggest that policies or programs to promote cultivation, bartering, and consumption of pearl millet grain could be well acceptable in rural Eastern Kenya which could add to the nutritional content of local diets.</p>
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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".