Participation and Leadership in Food Security Groups in Southeast Uganda: Determinants and Implications for Development Programs and Policies
Bibliographic record
Abstract
Local groups are increasingly being promoted as a vehicle for effective involvement of community members in development initiatives in the Global South, with expectations of successful and sustained achievements. Previous studies on participation and leadership in groups yield mixed results, implying that some underlying and contextual factors influence participation dynamics. In this study, using 281 household interviews and discussions with 21 farmers' groups in southeast Uganda, we established that group participation is positively associated with age of household head, household size and proximity to trading and health facilities. Group leadership is positively associated with educational level of household head, land size and non-agricultural sources of income, the latter two indicating wealth of an individual. Implications for development programs and policies include special efforts to support participation of youth as well as dedicating extra efforts to reach remote households and groups. Regarding leadership, groups should make it easier for non-educated members to take up leadership roles, the young generation should be enabled to benefit from the government policy of Universal Primary Education, and measures to avoid elite capture should be established
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".