Theory and Practice in the Government of Alberta’s Consultation Policy
Bibliographic record
Abstract
n this paper, I discuss the Government of Alberta’s policy and practice regarding consultation with Aboriginal Albertans regarding resource development, particularly the issuance to third parties of Crown dispositions that may have an impact on Aboriginal or treaty rights. My review of this subject matter is grouped around three conclusions, which are at first glance inconsistent. First, I argue that Alberta’s policy statements and the guidelines that it has issued to implement these fall far short of fulfilling—or even acknowledging in any meaningful way—the Province’s constitutional obligation to consult with Aboriginal Albertans and accommodate the latters’ concerns regarding resource development. However, in keeping with the distinction between theory and practice recognized by Warren Buffett and Yogi Berra, I concede that for reasons that are not reflective of any inherent merit in Alberta’s approach, the development and management of resource development appears to operate smoothly and efficiently, without any serious legal challenges or significant delays in the process. Finally, I suggest that the current practical success of Alberta’s approach is artificial and likely time-limited, and that without a more sincere Crown effort to fulfill its constitutional obligations the future of orderly development of natural resources is unlikely.
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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 | 0.027 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.032 | 0.073 |
| Scholarly communication | 0.026 | 0.006 |
| Open science | 0.005 | 0.008 |
| Research integrity | 0.016 | 0.008 |
| Insufficient payload (model declined to judge) | 0.008 | 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".