A World Fit for the Next Seven Generations: Upholding Indigenous Rights for the Foundation of a Sustainable Future
Bibliographic record
Abstract
Using the ‘Next Seven Generations’ as a conceptual framework, this article highlights Indigenous perspectives on sustainability and intergenerational responsibility in response to the A World Fit for Children declaration report. Through an analysis of Indigenous children's rights, the article emphasizes the importance of recognizing Indigenous land sovereignty in fostering a sustainable future for all children. Additionally, the disparate impacts of climate change on Indigenous children, lands, and resources will be explored with proposed mitigation strategies. The authors argue that upholding Indigenous rights can lead to improved outcomes in protecting the earth for children and stress the benefits of a rights-informed approach. Challenges and opportunities in implementing recommendations from child rights frameworks are explored, advocating for collaboration between Indigenous communities and stakeholders. In conclusion, sustained efforts are urged to create a world fit for the next seven generations of children by adopting a rights-informed approach to environmental protection. Keywords: Indigenous Childhoods, Children’s Rights, Environmental Protection, Sustainability
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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 | 0.008 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.010 | 0.015 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.006 |
| 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".