Ernst v. Alberta Energy Regulator: A “Frack-tious” Divide on Statutory Immunities and Charter Damages
Bibliographic record
Abstract
In Ernst v. Alberta Energy Regulator, the Supreme Court of Canada considered whether a statutory immunity provision could bar a plaintiff from bringing a claim for Charter damages against an administrative tribunal, and, if so, whether the provision was itself unconstitutional. On these issues, the Court deeply divided. Four justices, led by Cromwell J., held that the statutory immunity provision in Alberta’s Energy Resources Conservation Act barred Ms. Ernst’s claim for Charter damages, and that the provision itself was not unconstitutional. Four other justices, led by McLachlin C.J.C. and Moldaver and Brown JJ., held that it was not plain and obvious that the statutory immunity provision barred the claim for Charter damages and in so determining, deemed it unnecessary to consider the constitutional issue. The remaining judge, Abella J., wrote a separate decision that agreed with Cromwell J. on the issue of whether the provision barred Ms. Ernst’s claim, but held that it was inappropriate to consider the constitutional question, as this issue was being raised de novo before the Supreme Court of Canada.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.011 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.019 | 0.014 |
| Insufficient payload (model declined to judge) | 0.004 | 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".