Land rights in Darfur: Institutional flexibility, policy and adaptation to environmental change
Bibliographic record
Abstract
Abstract With environmental change set to affect the developing world in significant ways, examination of the process of adaptation is increasingly being brought to the fore. Common to all forms of adaptation in rural livelihoods will be a process of change in resource use and the resource rights that will either facilitate or subvert adaptation. This paper looks at Darfur and the repercussions from the multi‐year drought and land degradation that led to forms of adaptation that involved change in relationships between groups over land resources. The analysis looks at how changes in land resource rights relationships have been dealt with historically, as adaptation developed. Approaches involving highly flexible customary institutions were used to effectively manage the change in land resource rights relationships inherent in adaptation, and considerable opportunity existed for positive interaction between customary and statutory law. Initial success at adaptation was followed by interventions by the Sudanese government to manage these relationships for specific objectives that worked against adaptation. This resulted in competition, animosity, confrontation and the subsequent collapse of the institutions, legitimacy, and trust necessary for successful management of land resource rights change. These national policies debilitated the adaptation opportunities and instead led to profoundly negative repercussions in relationships about land in Darfur, eventually becoming a primary driver in the current war. This highlights both the importance of land resource rights relationships to adaptation and how these relationships can be changed (positively and negatively) by specific practices and policies.
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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 | 0.006 | 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 | 0.004 | 0.013 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".