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Record W1996295434 · doi:10.1080/0376835x.2010.498942

From land rights to environmental entitlements: Community discontent in the ‘successful’ Dwesa-Cwebe land claim in South Africa

2010· article· en· W1996295434 on OpenAlexaff
Zolile Ntshona, Mcebisi Kraai, Thembela Kepe, Paul Saliwa

Bibliographic record

VenueDevelopment Southern Africa · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLand Rights and Reforms
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLivelihoodSettlement (finance)Property rightsEmpowermentNatural resourceLand tenureLand lawLand useLand rightsEconomic growthBusinessEnvironmental planningNatural resource economicsPolitical scienceGeographyEconomicsAgricultureLawPaymentFinance

Abstract

fetched live from OpenAlex

This paper discusses the inability of successful land claimants to enjoy livelihood benefits from their newly acquired land rights. Based on long-term field observation, interviews and analysis of secondary material, the paper uses a case study of the Dwesa-Cwebe Nature Reserve in the Eastern Cape Province of South Africa to explore why it is that an agreement, as part of the land claim settlement, to allow local villagers regulated access to natural resources is not being implemented. The paper draws from the environmental entitlements framework to argue that full land rights that could allow livelihood benefits to be enjoyed are restricted by ineffective and conflicting institutional arrangements, such as the Land Trust, the Communal Property Association and traditional authorities. The paper calls for the empowerment of institutions to deliberately benefit local livelihoods.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0190.034
Scholarly communication0.0080.006
Open science0.0010.011
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.020
GPT teacher head0.197
Teacher spread0.177 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations39
Published2010
Admission routes1
Has abstractyes

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