Implications of Seed Policies for On-Farm Agro-Biodiversity in Ethiopia and Uganda
Bibliographic record
Abstract
Across East Africa, national seed policies and commercial seed enterprises have focused on increasing farmers’ access to modern seed varieties. These new varieties are developed and delivered to farmers via the formal seed system, which is comprised of government and private sector seed breeders, processors, and vendors. However, the formal seed system only provides a small share (<20%) of smallholders’ seed in the region. Most farmers source seed from informal seed systems, including own-saved seed, exchanges with neighbors, and local seed markets. At the local level, informal seed systems are preferred by farmers because of proximity and local varietal preferences (e.g., crop variety tastes and suitability for local environmental conditions). At the national and regional levels, the conservation and use of local crop varieties through informal systems has also provided a wealth of crop genetic diversity increasingly recognized as critical for climate change adaptation. To evaluate how policies in East Africa impact seed systems we systematically code 117 provisions in 21 national seed policies in Ethiopia (n=11) and Uganda (n=10), highlighting the implications of current and proposed policies for the availability and accessibility of: (i) improved seed; (ii) quality-controlled seed; and (iii) genetically diverse local seed in both the formal and informal seed systems in each country.
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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 | 0.000 | 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 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".