Formalizing Expectations: The Duty to Consult and the Canadian Extractive Resource Sector
Bibliographic record
Abstract
Recent news events surrounding natural resource development, such as protests by Aboriginal groups to hydraulic fracturing in New Brunswick, have brought to light the longstanding difficulties of reconciling Aboriginal rights with the greater Canadian public interest. Despite the undertaking of consultation policy and ancillary guidelines, Aboriginal groups, extractive industry proponents, and the Crown often find themselves embroiled in legal disputes over the expectations and responsibilities associated with natural resource development consultation. Ambiguities caused by policymaking direction from the Supreme Court have led to an inefficient allocation of time and resources by all parties involved in consultation processes, leading to a proliferation of legal challenges, a degradation of social license, increased costs associated with project delays, and a significant reduction in the competitiveness of Alberta’s extractive industry. To address inadequacies in current consultation policy, it is recommended that the provinces take a more proactive role in creating strong, detailed consultations policies that include strict deadlines and accountability measures. Though it will be made clear that the duty to fulfill the honour of the Crown in consultation matters rests solely with the government, it will also be recommended that the government continue to delegate procedural aspects of consultation to industry proponents on a project-specific basis. By formally divorcing the reconciliatory duty of the Crown from industry’s procedural obligations with strong provincial policy direction, the risks associated with current consultation uncertainty can be mitigated. These recommendations will be substantiated by referencing work completed by Douglas Eyford in his recent report to the federal government on forging partnerships and building relations with Aboriginal people in Canada in the context of natural resource development.
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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 | 0.019 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.045 | 0.032 |
| Scholarly communication | 0.020 | 0.007 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.008 | 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".