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Record W2167897016 · doi:10.1068/a130135p

Globalization, Science, and the Making of an Environmental Discourse on the Wild Coast, South Africa

2014· article· en· W2167897016 on OpenAlex
Thembela Kepe

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 Planning A Economy and Space · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSouth African History and Culture
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIdeologyNational parkEnvironmental governanceResource (disambiguation)Political scienceCorporate governanceGlobalizationState (computer science)GeographyEnvironmental ethicsSociologyLawPoliticsEconomics

Abstract

fetched live from OpenAlex

This paper uses the case of the proposed Pondoland National Park in South Africa, which is in the center of policy debates about biodiversity conservation, development, and resource rights in the Wild Coast area of South Africa. It explores whether the making of the case for the conservation of the Wild Coast, which relies on global environmental discourses, has ideologically and practically clarified local poor people's resource rights. It does this by tracing the genealogy of the Pondoland National Park discourse, which originates from scientific research and individual and group lobbying, to help explain the disjuncture between post-apartheid environmental policy discourses and what takes place in practice. The paper concludes that the reliance on global environmental discourses in research done in support for the Pondoland National Park complicates the role of the nation-state in terms of environmental governance, and that this can negatively affect the poor and powerless residents of the area in question.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.526
Threshold uncertainty score0.892

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.218
Teacher spread0.206 · 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