Bibliographic record
Abstract
Revision with unchanged content. For over twenty years, UN member states met with Indigenous representatives from around the world to negotiate the content of a proposed Declaration on the Rights of Indigenous Peoples. In this book, Shelagh Levangie explores and analyses the proceedings of the eighth session of the United Nations Working Group on the Drafted Declaration on the Rights of Indigenous Peoples. Held at the United Nations headquarters in Geneva, Switzerland in 2002, the eighth session is representative of the meetings that occurred over the twenty-two years the Declaration was negotiated. Levangie highlights the complexities of the Working Group discussions and the issues they raised for Indigenous representatives and UN member states focusing on its meaning and significance for the Canadian government. An in-depth examination of the content of the Draft Declaration and the process by which it was discussed exposes the conflicting values and assumptions that existed between the Indigenous representatives and government delegates. New political opportunities and relationships were created and contested across national and international boundaries as Indigenous Peoples sought recognition of their human rights and negotiated a place within the world’s political process. Epilogue by Kenneth Deer
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.026 | 0.005 |
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".