Bibliographic record
Abstract
The duty to consult and accommodate has increasingly become front and centre in a wide range of resource and development projects and the related litigation. The Supreme Court of Canada has stated that it seeks to foster negotiation and limit litigation through its approach to the duty. This article examines, from a theoretical perspective, whether the Court is furthering this objective. It builds on a simple model of How the legislature and courts interact in the administrative law context and discusses how the relationship changes with the addition of Indigenous peoples seeking enforcing the government’s constitutional duty to consult and accommodate. It examines both decisions made by Cabinet and by an “independent” body such as the Canada Energy Regulator (CER). The model points to the importance of both the approach taken by the reviewing court and the relative political positions of relevant actors. The interpretation of the standard of review by different types of judges will impact the incentives to litigate and the probability of success from litigation. In addition, the incentive to litigate shifts as policy positions shift for Cabinet, for boards or for judges, but not in a straightforward fashion. The model informs not only the duty to consult, but judicial review in the standard administrative law context and involving other constitutional issues.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.037 | 0.103 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.018 |
| Scholarly communication | 0.014 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.008 | 0.007 |
| 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".