Delegation, Deference and Difference: In Search of a Principled Approach to Implementing and Administering Aboriginal Rights
Bibliographic record
Abstract
In 2017, the Supreme Court of Canada (SCC) decided two duty to consult cases, heard together: Clyde River (Hamlet) v. Petroleum Geo-Services Inc. and Chippewas of the Thames First Nation v. Enbridge Pipelines Inc. (“the 2017 cases”). Within the issue of whether the duty to consult had been satisfied, key points of contention focused on who is responsible for discharging the duty to consult Indigenous Peoples, including assessing the adequacy of the consultation. The cases presented the particular situation of a regulatory agency (the National Energy Board or NEB) that had final approval authority, without the involvement of the Crown “proper” (understood as a minister of the Crown or cabinet). In other words, can the duty be satisfied without the Crown participating in the process and assessing its adequacy? The Court’s answer: “While the Crown always owes the duty to consult, regulatory processes can partially or completely fulfill this duty.” A second, equally contentious issue was about what is required of a regulatory agency in assessing the obligation to consult when this obligation rests with it. Embedded within this issue is the question: what is the degree of specificity or formality with which the existing or claimed Aboriginal or treaty rights must be treated for the duty to assess adequacy to be discharged?
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 | 0.048 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.015 | 0.062 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.005 | 0.010 |
| Research integrity | 0.015 | 0.022 |
| Insufficient payload (model declined to judge) | 0.002 | 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".