Bibliographic record
Abstract
This article is intended as a companion piece to Øyvind Ravna’s contribution to this anniversary volume. It maps the development of the duty to consult in Canadian law since the seminal decision of the Supreme Court of Canada in Haida Nation v British Columbia in 2004. The article begins by briefly examining the first references to the duty to consult in 1990 before turning in Part 2 to the transformation of the duty in Haida Nation and a doctrinal analysis of the various elements of the duty. Part 3 examines the international standard of free, prior and informed consent (FPIC) as developed in the UN Declaration on the Rights of Indigenous Peoples as well as the implications of legislation that aims to give effect to the Declaration in federal or provincial law. The conclusion to the paper offers some comparative comments on Norway and Canada regarding the development of the duty to consult. These comments emphasise that whereas consultation and FPIC obligations in Norway are firmly rooted in international law, and, in particular, in the International Labour Organization’s Convention on Indigenous and Tribal Peoples (ILO C-169), this is not the case in Canada. In Canada, the duty to consult and accommodate finds its origins in domestic law and the entrenchment of aboriginal rights in the Constitution in 1982. However, more recent discussions over the implementation of the UN Declaration in federal and provincial law have inevitably broadened the discourse to include international law and the FPIC standard.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.018 | 0.015 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".