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Record W16891894 · doi:10.2307/25606116

Land, Livestock and Leadership among the Ju/'hoansi San of North Western Botswana

2003· article· en· W16891894 on OpenAlexvenueno aff
Robert K. Hitchcock

Bibliographic record

VenueAnthropologica · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicRangeland Management and Livestock Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsLivestockGeographyArchaeologyAgroforestryForestryEthnologyPolitical scienceHistoryBiology

Abstract

fetched live from OpenAlex

En Afrique, les Autochtones ont eu de la difficulte a obtenir des droits stables a la terre et aux ressources. Les San Ju/'hoansi de la Republique du Botswana ont eu a lutter contre des decisions gouvernementales qui ne permettaient pas a des groupes de reclamer des droits territoriaux sur la base de coutumes ancestrales ou d'occupation prolongee. L'A. examine quelques facons ingenieuses dont les Ju/'hoansi se sont servi dans la question des terres et des droits aux ressources, y compris faire un releve detaille de leurs territoires ancestraux et se servir des politiques du gouvernement du Botswana sur l'administration communautaire des ressources naturelles pour gagner un plus grand controle des terres, de l'eau et des ressources de la flore et de la faune.

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.

How this classification was reachedexpand

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.999

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.039
GPT teacher head0.239
Teacher spread0.200 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2003
Admission routes1
Has abstractyes

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