The benefits and processing technologies of gari, a famous indigenous food of Nigeria
Bibliographic record
Abstract
Gari is a creamy, granular flour obtained from roasting fermented cassava mash. Gari is a staple food in Nigeria that is consumed by almost everybody and which can enhance food security due to it availability and affordability. The raw material for gari production is cassava which is processed either through traditional method or modern method. The traditional method involves harvesting, peeling, wet cleaning (washing), grating, adding red oil (optional), fermentation, dewatering, sieving, garifying on heated hot pan to gelatinize the starch and then cooling while the modern method involves the use of mechanized machines for the various processes involved in the gari production. Gari is rich in carbohydrates, minerals (like Ca, Mg and P) and vitamins (like vitamins A and B). Due to roasting and leaching out with water, gari processing results in severe nutritional losses. The nutritional content of gari is affected by the type of processing regime employed. Compared to gari prepared using mechanized approach, gari processed using a traditional method typically contains more nutrients and less anti-nutrients. Gari can be eaten directly or it can be soaked in water together with sugar and groundnut. It can be used to make eba by mixing the gari in hot water and stirred into a dough and the eba can be eaten with vegetable soup. Gari is rich in carbohydrates and fibre but low in protein and therefore should be eaten with food rich in protein like meat, fish, egg and beans. Inadequate processing of gari can result in excessive concentrations of anti-nutrients such as hydrogen cyanide. Soaking, grating, pressing, fermentation and oven-frying are methods which have been employed to reduce the cyanide content of gari to acceptable levels for consumption. Some microorganisms involved in cassava fermentation include Lactobacillus acidophilus , Levilactobacillus brevis among others. The consuming markets of Africa comprise, among others, the following nations Chad, Gabon, Cameroon, Niger, Burkina Faso, Ivory Coast, Guinea and Congo. In many African nations, including Nigeria, women are primarily responsible for the processing of cassava.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".