Recent Judicial Decisions of Interest to Energy Lawyers
Bibliographic record
Abstract
Last year’s submission canvassed judicial decisions that were released prior to, and post-implementation of, COVID-19 restrictions. The advent of COVID-19 caused unprecedented economic and social disruption and no industry or social institution was immune to its effect. Alberta was already attempting to manage one of the highest unemployment rates among the provinces when the COVID-19 pandemic exacted its multi-faceted toll. One aspect was a serious decline in the demand for oil, which further impacted oil prices, and the very manner in which energy industry participants would operate in the near and longer terms. The judiciary, and the broader legal system, suffered no less an impact, and extraordinary measures were taken to maintain the rule of law and preserve meaningful access to justice. Notwithstanding the extraordinary circumstances all have endured since March 2020, many reported decisions of significance to energy industry participants have been released by Canadian courts over the past year. This article summarizes a selection of key decisions covering developments in the Canadian law of contract, energy, environment, insolvency, Aboriginal, employment and labour, minority shareholder’s rights, as well as developments in civil litigation procedure. In each topic area the identified cases are reviewed with respect to their facts, a summary of the decision, and a brief commentary as to the implications or general significance of the case.
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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 | 0.011 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.015 | 0.008 |
| Scholarly communication | 0.012 | 0.002 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.014 | 0.011 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".