Food Security and Income through Sweet Potato Production in Teso, Uganda
Bibliographic record
Abstract
Two relevant studies on food security are referred to in the article. Food insecurity from time to time threatens in Teso sub region which houses a viable Teso agricultural system. One study was done during 2001-2003 in Teso on sweet potato production with 650 persons participating and the second one was done in one disaster affected area of Bududa District nearby during 2012-2016 when 1,142 persons participated. Kiryandongo District where Bududa landslide survivors were resettled in Uganda was included in that study. Participatory methods such as focus group discussions, farm observations, in-depth interviews, and questionnaires were used. Both studies used qualitative and quantitative methods for data analysis. The sweet potato stands second after cassava as the crop for famine and disaster periods in Teso to meet the human right to adequate food to complement the well dried cereals & grain legumes that stored longer. Livestock especially was also one of the prime determinants of food security and income in Teso. Free from cyanides with a good content of affordable Vitamin A from orange fleshed varieties, sweet potatoes in Teso contributed about 61% to the yearly food per capita of the population thus a recommendable crop for sustainable food security and some income in Teso and beyond.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".