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Record W2559825233 · doi:10.29173/alr471

Restructuring Challenges in the Oil and Gas Sector: The Treatment of Regulatory Orders Post-Redwater

2016· article· en· W2559825233 on OpenAlexvenueaboutno aff
Kelly Bourassa, Ryan Zahara, Chris Nyberg

Bibliographic record

VenueAlberta Law Review · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsInsolvencyRestructuringLicenseeCreditorEnergy lawBusinessStatuteEnergy sectorLiabilityFossil fuelFinanceAccountingEconomicsDebtNatural resource economicsLawEnvironmental lawPolitical scienceEngineering

Abstract

fetched live from OpenAlex

Companies within the Alberta energy sector are currently unable to satisfy amounts outstanding to their creditors and at the same time fulfill their environmental responsibilities, culminating in a fight over whether provincial or federal statutes have priority when it comes to the environmental obligations of insolvent oil and gas companies. This article identifies recent legal developments relevant to corporate restructurings in the Alberta energy sector, examining the Alberta Energy Regulator’s treatment of exploration and production companies, the licensee liability rating program, and the practical challenges that Alberta Energy Regulator’s licensees and creditors face in the current economic and regulatory climate. Finally, this article analyzes options for facilitating the sale of licenced assets.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.978
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.036
GPT teacher head0.222
Teacher spread0.186 · 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 teacher head, 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

Citations2
Published2016
Admission routes2
Has abstractyes

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