‘We Are All Here to Stay’: Citizenship, Sovereignty and the UN Declaration on the Rights of Indigenous Peoples
Bibliographic record
Abstract
In 2007, 144 UN member states voted to adopt a Declaration on the Rights of Indigenous Peoples. Australia, Canada, New Zealand and the US were the only members to vote against it. Each eventually changed its position. This book explains why and examines what the Declaration could mean for sovereignty, citizenship and democracy in liberal societies such as these. It takes Canadian Chief Justice Lamer’s remark that ‘we are all here to stay’ to mean that indigenous peoples are ‘here to stay’ as indigenous. The book examines indigenous and state critiques of the Declaration but argues that, ultimately, it is an instrument of significant transformative potential showing how state sovereignty need not be a power that is exercised over and above indigenous peoples. Nor is it reasonably a power that displaces indigenous nations’ authority over their own affairs. The Declaration shows how and why, and this book argues that in doing so, it supports more inclusive ways of thinking about how citizenship and democracy may work better. The book draws on the Declaration to imagine what non-colonial political relationships could look like in liberal societies.
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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 | 0.005 | 0.007 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".