"We have this land as our right" : ethnicity, politics, and land rights conflict at Enoosupukia, Kenya
Bibliographic record
Abstract
Population growth and internal migration in parts of the developing world have led to increased conflict over land rights carried out in the context of competing tenure paradigms. In Kenya, violent conflict between 'indigenous' and 'outsider' communities occurring in the midst of a program of democratic liberalization and political change has been variously explained as primarily driven by material or political interests. This thesis examines land rights conflict in the wake of a violent clash at Enoosupukia in 1993, which led to the displacement of up to 30,000 people, and analyzes how changing tenure paradigms, shifting socio-spatial boundaries, ethno-political polarization, and pressure on land resources all contribute to the perpetuation of conflict and tenure uncertainty. I argue that, despite challenging civil precepts of liberal governance, assertion of exclusive ethnic rights to traditional territories may nevertheless lead to political justice and alleviate the marginalization of indigenous and minority groups.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.015 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".