Smallholder farmer participation in local and regional food aid procurement: <i>Assessing the benefits and challenges in southwestern Uganda</i>
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Local and regional food aid procurement (LRP) – the purchase and distribution of food aid within andbetween developing countries – has recently become a common occurrence. In contrast to traditionalmethods of food aid provision, which are costly cross-border operations and often slow to respond duringemergencies, LRP aims to combat food insecurity in a more effective, economical and contained manner.There is a limited amount of research concerning smallholder involvement in small-scale LRP initiatives.This article explores LRP's impact on smallholder farmers participating in a World Food Programme(WFP) procurement project in southwestern Uganda. It concludes that LRP has some benefits, includingproviding a ready market and empowering farmers, but WFP's procurement contract development,payment procedures and pricing mechanisms, and difficulties of ensuring participants' household foodsecurity, present challenges.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it