Utilization of indigenous food plants in Uganda: A case study of south-western Uganda
Bibliographic record
Abstract
The purpose of the study was to document and establish the traditional processin methods of indigenous food plants in Rukungiri district. In order to establish the status and level of utilization and processing of indigenous food plants in southwestern Uganda, a baseline survey was carried out using a participatory method of data collection. Respondents in Rukungiri district cited a total of 94 plants that were used for food. Some of the food plants were classified as indigenous to the area, while others were classified as exotic. The food types generally fell into five broad categories, namely; vegetables, fruits, roots/tubers, pulses and cereals. Vegetables and fruits were the most commonly used food plants and the Amaranths species were found to be the most popular vegetables, whereas wild plums (Carissa edulis) and gooseberries (Physalis minima) were cited among thepreferred fruit species. In spite of the fact that indigenous/traditional food plants have always ensured food security at the household level, the process of collecting them from the wild, their production,consumption and domestication was found to be on the decline in this area. This decline can be attributed to limited available knowledge on their nutritional content and to the emphasis that is placed on commercial, high yielding exotic plants by both the agricultural extension officers and farmers. The majority of farmers are only interested in the cultivation of crops from which they can earn an income, and because no one has cultivated indigenous food plants with the intention of earning an income from them, the plants have not proved their worth. Although the methods of utilization, especially food preparation, varied from one household to another, boiling, steaming and frying were very common and cross-cutting almost all the households. The principal mode of food preservation cited by households, especially for seeds, wassun drying.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".