Ecocosmologies, Ecolegality, and African Environmentalisms as Ecological Law
Bibliographic record
Abstract
Chapter 6 expands on African legal cosmologies by demonstrating what it is that the world has missed out on by not incorporating customary law, ethics, and Indigenous norms from the Global South much earlier into the jurisprudence on sustainable development. The different senses of the legal dimensions of the concept of sustainable development as embedded in non-positivist legal traditions and thinking about law differently have tremendous potential to ensure that the sustainable development becomes effectively local, a concern that must engage the attention of international law scholars. This is where eco-legal philosophies and ecological integrity interact to found ecological law which involves reorganising the law–ecology nexus by retrenching the overbearing dominance of Eurocentric law on the planetary community and its disproportionate dominance in the humanity–nature nexus. In this respect, the renewed normativity of sustainable development as ecological integrity recalibrates law as a subset of a universal whole where law is appropriately located within, and not external to, nature. This remedial task is made possible by forging a beneficial interconnection between customary law, ethics, and Indigenous norms guided by the awareness that sustainable development reflects legal pluriversality and a significant feature of alternative legal ontologies.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".