Clan and Tribal Perspectives on Social, Economic and Environmental Sustainability: Indigenous Stories from Around the Globe
Bibliographic record
Abstract
From the Indigenous perspective, sustainability must be understood as a means of survival. In a climate of in-migration, clan and tribal communities have been forced to build sustainable solutions together to protect their sovereignty, recognition and mutual respect.\nIn the midst of a global pandemic that threatens the economic and social well-being of millions of people, this edited collection addresses the social, economic, and environmental sustainability of tribes, clans, and Indigenous cultures across national and global origins. Acknowledging that these peoples around the globe have addressed threats to their survival for millennia, the authors showcase examples of indigenous groups spanning South Africa, Nigeria, Australia, New Zealand, Pakistan, Afghanistan, Bolivia and North America. Regional examples also come from Rwanda, Cameroon, Congo, Ethiopia, East Timor, Papua New Guinea, the Andaman and Nicobar Islands, Easter Island, and Nunavit, Canada. Breaking fresh ground by shining a light on sustainability journeys from outside the global mainstream, this book demonstrates how sustainable recovery and development occurs in respectful collaboration between equals.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.031 | 0.023 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 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".