EFFECTIVENESS OF BYLAWS IN THE MANAGEMENT OF NATURAL RESOURCES: The West African Experience
Bibliographic record
Abstract
The role of various stakeholders in the management of natural resources is not clear in the West African countries. This paper discusses the historical changes in power delegation from central origins to peripheral institutions. The analysis covers the rise of bylaws across the Western African countries and links the multiplicity of bylaws to the amplification of the decentralization movement. On the basis of a literature review and their own practitioners’ experiences, the authors demonstrate the pertinence of bylaws as a tool for better management of natural resources. In the West African Francophone context, bylaws could stand both for regulations enacted by decentralized authorities or “local conventions” binding village community groups. Where formal bylaws suffer from limited enforcement, local people continue, through their traditional representatives, to engage in the negotiation of local conventions for the management of natural resources. According to the authors, there is a need to recognize local conventions, which offer an opportunity for decentralization to be more rooted in local situations. Through such conventions, traditional institutions prove their ability to reshape with decentralization even if decentralization reforms and national forestry laws have ignored them across West Africa.
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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 | 0.010 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.018 | 0.014 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".