UNDRIP as a Framework for Reconciliation in Canada: Challenges and Opportunities for Major Energy and Natural Resources Projects
Bibliographic record
Abstract
The advancement of reconciliation with Indigenous peoples in Canada has had a significant impact on the approval of energy projects since the introduction of section 35 of the Constitution Act, 1982. The legal concepts of consultation, accommodation, and consent have pushed the boundaries of our existing regulatory regimes and challenged the way we think about administrative processes. The move toward the adoption of the United Nations Declaration on the Rights of Indigenous Peoples (UNDRIP) in Canada, including the concept of “free, prior and informed consent,” is certain to further push those boundaries as governments advance reconciliation with Indigenous peoples. In canvassing current legislative, proposed legislative, and policy developments across Canada — in particular, recent legislative changes in British Columbia — there appear to be different models developing for incorporating UNDRIP into Canadian law. These models range from express requirements in relation to Indigenous consent on major project approvals, to more flexible frameworks that will enable governments to address UNDRIP incrementally over time. Ultimately, many important questions remain with respect to how UNDRIP will impact energy development in Canada.
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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 | 0.033 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.024 | 0.024 |
| Scholarly communication | 0.023 | 0.006 |
| Open science | 0.008 | 0.008 |
| Research integrity | 0.011 | 0.013 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".