Globalization, Science, and the Making of an Environmental Discourse on the Wild Coast, South Africa
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.017 | 0.050 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".