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Record W3123707963 · doi:10.1017/s1355770x03001268

Land tenure and conflict resolution: a game theoretic approach in the Narok district in Kenya

2004· article· en· W3123707963 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnvironment and Development Economics · 2004
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLand Rights and Reforms
Canadian institutionsInternational Institute for Sustainable Development
Fundersnot available
KeywordsDisadvantagedLand tenureInterdependenceOrder (exchange)Citizen journalismSettlement (finance)EconomicsBusinessAgricultureEconomic growthPolitical scienceGeographyLaw

Abstract

fetched live from OpenAlex

Many conflicts in many parts of the developing world can be traced to disputes over land ownership, land use and land degradation. In this paper, we test the hypothesis that information asymmetries among various principals within these countries in land tenure and market systems have caused marginalization of some principals by the others. A sustained process of marginalization driven by these asymmetries has inevitably caused the disadvantaged to revolt resulting in many cases in violent clashes. In this paper, we develop a game theoretic model to test our hypothesis by analyzing the complex interdependencies existing among the various principals in the Narok District in Kenya. Violent clashes have been increasing in the district since the first outbreak in 1993. Preliminary results seem to confirm our hypothesis that asymmetrical information structures among the various principals over land and agricultural markets could have been the catalytic forces for these conflicts. In order to reduce these discrepancies, we recommend two institutional reforms. The first involves the adoption of a hybrid land tenure system whereby land ownership is based on individual titles while the use and sale of the land is governed by communal rules established by a community participatory proceeds. The second recommendation involves the formation of an information network comprising of all principals with the main objective of it being a forum for exchange of ideas and information pertaining to land use options and the opportunities offered by the market system.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.121
Threshold uncertainty score0.080

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.012
GPT teacher head0.160
Teacher spread0.148 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it