The effectiveness of a permaculture education project in Butula, Kenya
Bibliographic record
Abstract
In the 1980s, agricultural development organizations began promoting permaculture, an agroecological approach that emphasizes local autonomy, through training programmes in the developing world. Few assessments have measured the effectiveness of such projects. Here we surveyed and interviewed small-scale farmers to assess the perceived impacts of a Canadian permaculture non-governmental organization’s (NGO) project in Butula, Western Kenya. Two types of projects are evaluated and compared: community projects (CPs) at six primary schools, and an intensive two-week permaculture design certification (PDC) programme. Our results suggest that both PDC and CP participants felt that they had benefited from the projects. However, PDC participants developed a more comprehensive understanding of permaculture, felt empowered and frequently related permaculture to their own traditional cultural values whereas CP participants often misunderstood permaculture, felt frustrated by the limited immediate economic benefits and frequently contrasted permaculture against traditional cultural values. These differences may have occurred because CP participants had fewer opportunities to interact directly with the permaculture teachers, to ask questions, or to clarify points of uncertainty. This study emphasizes the importance of direct, reciprocal communication between NGOs and project participants for fostering feelings of autonomy and competence, thereby strengthening resilient agroecological systems.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.001 | 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".