Sustainable Development and the Turn to African Legal Ontologies
Bibliographic record
Abstract
Chapter 5 argues that an alternative ontological basis, derived from non-Western ontologies, is both possible and urgent for renewing sustainable development. It analyses how the voice of the Global South; particularly Africa, can improve the discourse on sustainable development by evolving a view on the importance of customary law, ethics, and Indigenous norms as law. It echoes the idea of ‘ecology of knowledges’ and the legal value of reviving non-Western epistemologies for sustainable development. The spotlighting of ethics, customary norms, and other forms of local and Indigenous knowledge as legal norms has been done before. However, in this book, I extend the discussion even further and do so through a comparative analysis with other bodies of legal ideas and normativity like transnational law, legal pluralism, and social construction as law in themselves. In this process, I give these ideas a unique twist for the purposes of the overall critical perspective of this project by demonstrating their usefulness for foregrounding customary law or Indigenous knowledge as law. The discussion refracts the idea of reimagining sustainable development praxis through the lens of oft-neglected African legal cosmologies, and how such experiences can provide helpful signposts in Africa and elsewhere.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.020 |
| Scholarly communication | 0.006 | 0.012 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".