Use of filtrate from crop residue ash for cooking in rural households in Northern Uganda.
Bibliographic record
Abstract
Filtrate made from crop residue ash is used as a traditional cooking additive in Northern Uganda to decrease cooking time of legumes and impart a culturally preferred taste. The environmental and health implications of this practice are poorly understood. Research conducted in Northern Uganda and Canada included comparison of cooking times for black beans (Phaseolus vulgaris L.) among four cooking water treatments, yielding an 18% time savings with ash filtrate over the control. Palatability evaluation revealed beans cooked with ash filtrate were not preferred over other treatments. Study site and treatment significantly impacted overall palatability scores. Inductively coupled plasma - mass spectrometry analysis showed high mineral content for crop ash but low values for crop ash filtrate. Daily consumption amounts of beans cooked with ash filtrate contributes elemental levels (e.g., calcium and iron) within nutritional standards. However, the highly alkaline nature of ash filtrate may have anti-nutritional effects on diet. --Leaf ii.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".