Tenure Security in War-Affected Scenarios: Challenges and Opportunities for Sustainability
Bibliographic record
Abstract
Abstract This chapter describes the role of land rights and tenure security in war-affected scenarios. Because armed conflict and tenure security both operate in the domain of spatial relationships between people, the connection between them is acutely intimate. War-torn land tenure scenarios are unique in their combination of a weakened and chaotic formal (statutory) system, vigorous but very fluid informal tenure activity, along with the presence of political demands regarding land, and international actors that have a large interest and influence in the direction of recovery. While this combination carries risks, it also represents real opportunity for practical and policy reform in support of tenure security and sustainability. Subsequent to a review of the land tenure security issues that emerge prior to, during, and after armed conflict, the chapter describes how certain forms of post-conflict land rights recovery can support tenure security and contribute to long-term sustainability. The chapter presents the case of Afghanistan to highlight the issues of conflict and tenure security.
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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 | 0.000 | 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) | 0.001 | 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".