Land reform and peacebuilding in Côte d'Ivoire: Navigating the minefield
Bibliographic record
Abstract
Abstract This article explores the complex links between land reform and peacebuilding through a case study of Côte d'Ivoire. The country provides fertile ground for analysis given its torturous history of land conflict and civil war, its enduring debates surrounding land reform, and its ongoing efforts to consolidate peace. The article argues that while the failure to address the agrarian dimensions of the country's longstanding conflict undermines long‐term prospects of bridging deep political and societal divides, aggressive attempts to tackle the land question at the outset of the peacebuilding process may have threatened the fragile peace of the post‐conflict period. The analysis thus highlights the political risks involved in undertaking land reform during periods of precarious peacebuilding. In so doing, the article draws upon insights from over 70 interviews with local stakeholders and document analysis of key primary documents from the Ivorian government, the United Nations Security Council, and the World Bank.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| 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".