Land tenure and conflict propagation: critical geopolitics from the rural grassroots in North Kivu (Democratic Republic of Congo)
Bibliographic record
Abstract
In its most recent history, the Democratic Republic of Congo (DRC) has taken central stage in two interstate wars and multiple civil conflicts with trans-border dynamics. Somewhat less well known is the fact that the DRC is also a prime example of a different, continent-wide African problematic: the precarity of land rights and resulting conflicts over land tenure. This paper is part of a study that explores interactions between tenure conflicts at the micro-level and the larger ethnic, civil and interstate conflicts of the region. In its first part, the article discusses conflict study approaches from various disciplines and the published literature and makes the case for a multi-scalar critical geopolitical conflict analysis. The second part presents case studies, the survey questionnaire and interview based fieldwork results that reveal the near ubiquity of tenure conflicts in North Kivu and show the causes of these conflicts and how they tend to proliferate at the rural grassroots base and subsequently extend upwards.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".