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Record W2903681867 · doi:10.29173/alr2511

Recent Judicial Decisions of Interest to Energy Lawyers

2018· article· en· W2903681867 on OpenAlexaffvenue
Olivia C. Dixon, Colin Feasby, Jung Lee

Bibliographic record

VenueAlberta Law Review · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Systems and Judicial Processes
Canadian institutionsCalgary Laboratory Services
Fundersnot available
KeywordsDissenting opinionJudicial opinionInsolvencyLawBankruptcyLegislationArbitrationCreditorBusinessEconomicsPolitical scienceLaw and economicsDebtFinance

Abstract

fetched live from OpenAlex

This article summarizes a number of recent judicial decisions of interest to energy lawyers. The authors review and comment on the past year’s case law in several areas including contractual interpretation, employment and labour law, Aboriginal law, constitutional law, intellectual property, bankruptcy and insolvency, and selected developments relating to summary judgments. Specific topics addressed include the appropriate standard of review, workplace drug and alcohol testing policies, appellate intervention in commercial arbitration, the appropriateness of granting summary judgments, valuation of dissenting shareholders’ shares, a duty to consult, the applicability of municipal bylaws when they conflict with federal legislation, and the rights and obligations of oil and gas companies placed into receivership. For each case, some background information is given, followed by a brief explanation of the facts, a summary of the decision, and commentary on the outcome.

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)0.037
metaresearch head score (Gemma)0.086
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: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.964
Threshold uncertainty score0.196

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0370.086
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0110.007
Scholarly communication0.0110.005
Open science0.0040.003
Research integrity0.0210.017
Insufficient payload (model declined to judge)0.0040.001

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 head0.094
GPT teacher head0.367
Teacher spread0.273 · 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
GenreCommentary

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
Published2018
Admission routes2
Has abstractyes

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