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Record W4395031062 · doi:10.29173/alr2730

Recent Judicial Decisions of Interest to Energy Lawyers

2022· article· en· W4395031062 on OpenAlexaffvenueabout
Karen Fellowes, Natasha Doelman

Bibliographic record

VenueAlberta Law Review · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsInnovation, Science and Economic Development Canada
Fundersnot available
KeywordsEnergy (signal processing)Judicial opinionEnergy lawLaw and economicsBusinessLawEconomicsPolitical scienceEnvironmental lawMathematicsStatistics

Abstract

fetched live from OpenAlex

The second year of the COVID-19 pandemic continued to impact the Canadian economy, commercial activity, and the legal system in general. Courts, tribunals, legislatures, law firms, corporations, and workers all learned to adapt to remote working, remote hearings, and new ways of living. Within the crisis came opportunities to modernize systems and think about new ways of accessing justice. This article summarizes a number of recent judicial decisions of interest to energy lawyers. The authors review key case law from several broad areas, including: Indigenous and First Nations law; contractual interpretation; environmental law; tax law; corporate and securities law; bankruptcy and insolvency; and constitutional law. In each area of law, the authors will provide insight on the significance and potential implications of these decisions on the Canadian energy industry. The authors also canvas more specific topics, such as: economic interests and the Crown’s duty to consult; the Canada Revenue Agency’s priority ranking in the restructuring process; the ability of receivers to disclaim an agreement in the bankruptcy process and unilaterally impose go-forward terms on a secured party; the priority of builders’ liens in the face of abandonment and reclamation obligations; the evolution of the “reverse vesting order”; and provincial control over resources.

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 imitation

Not 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.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.725
Threshold uncertainty score0.553

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.027
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.005
Science and technology studies0.0100.008
Scholarly communication0.0080.003
Open science0.0030.001
Research integrity0.0110.008
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.078
GPT teacher head0.349
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes3
Has abstractyes

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