The National Energy Board as Intermediary Between the Crown, Aboriginal Peoples, and Industry
Bibliographic record
Abstract
Recent Supreme Court of Canada decisions have forced the National Energy Board to reconsider its responsibilities with respect to Aboriginal peoples. This has impacted the Board's ability to clearly articulate its policies and procedures, specifically in the area of consultation with Aboriginal peoples, as the legal standard for consultation seems to change from year to year and stakeholders on all sides of the regulatory process press the Board to interpret these legal requirements in a way that suits their interests best. This article outlines challenges facing the Board with respect to consultation with First Nations and identifies strategies through which it has attempted to address them. Specifically, it describes the Board's policies on consultation and its administrative response to the MacKemie Valley pipeline regulatory review. The article assesses the viability of these strategies in light of challenges the Board is likely to face in the near future.
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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 | 0.009 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.016 |
| Scholarly communication | 0.016 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.015 | 0.009 |
| Insufficient payload (model declined to judge) | 0.007 | 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".