COMMUNITY PARTICIPATORY SUSTAINABLE LAND MANAGEMENT BYELAW FORMULATION IN THE HIGHLANDS OF CENTRAL ETHIOPIA
Bibliographic record
Abstract
Widespread adoption of sustainable land management (SLM) innovations by land users is considered key in addressing the rampant land degradation in the high rainfall and densely populated highlands of eastern and southern Africa. However, absence of enabling policy environments hamperes massive adoption of SLM innovations among rural communities. This paper presents the process and outcomes of a participatory approach for formulating and implementing SLM byelaws in the central highlands of Ethiopia. The participatory approach utilised three complementary tools, namely, stakeholder analysis, community needs assessment and policy dialogues. The stakeholder analysis revealed that several government institutions, non-government organisations (NOGs) and community groups promote SLM practices. Poor coordination among actors, top-down approach in planning and implementation, and limited capacity of communities hamperes SLM scaling up efforts. Stakeholder engagements culminates in establishing innovation platforms (IPs) at district and watershed levels tasked with coordinating SLM scaling up efforts. While the community needs assessment identified and prioritised SLM issues that needed to be resolved, the policy dialogue engaging IPs formulated three SLM byelaws and mechanisms for implementation.
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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 | 0.000 |
| 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 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".