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Record W2058095284 · doi:10.1163/15692108-12341243

Land and Justice in South Africa: Exploring the Ambiguous Role of the State in the Land Claims Process

2012· article· en· W2058095284 on OpenAlexaff
Thembela Kepe

Bibliographic record

VenueAfrican and Asian Studies · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Issues in South Africa
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRedressState (computer science)Land reformLand lawLand tenurePoliticsLand grabbingGovernment (linguistics)Political scienceEconomic JusticeCommodityRuralityPolitical economyEconomic growthSociologyLawRural areaAgricultureEconomicsGeographyMarket economy

Abstract

fetched live from OpenAlex

Abstract In addition to challenges facing South Africa’s overall post-apartheid land reform, group rural land claims have particularly proven difficult to resolve. This paper explores the role that the state plays in shaping the outcomes of rural group land claims. It analyzes policy statements, including from policy documents, guidelines and speeches made by politicians during ceremonies to hand over land rights to rural claimants; seeking to understand the possible motives, factual correctness, as well as impact, of these statements on the trajectory of the settled land claims. The paper concludes that land reform as practiced in South Africa is functionally and discursively disembedded from socio-political histories of dispossession, because land has come to be treated more as a commodity, rather than as something that represents multiple meanings for different segments of society. Like many processes leading up to a resolution of a rural claim, subsequent statements by government concerning particular ‘successful’ land claims convey an assumption that local claimants have received just redress; that there was local consensus on what form of land claim redress people wanted, and that the state’s lead role in suggesting commercial farming or tourism as land use options for the new land rights holders is welcome. The paper shows that previous in-depth research on rural land claims proves that the state’s role in the success or failure of rural land claims is controversial at best.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.326

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.056
GPT teacher head0.312
Teacher spread0.256 · 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.

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

Citations18
Published2012
Admission routes1
Has abstractyes

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