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Record W114757845 · doi:10.29173/alr121

The Changing Regulatory Scheme in Northeast British Columbia

2011· article· en· W114757845 on OpenAlexvenueaboutno aff
Wally Braul

Bibliographic record

VenueAlberta Law Review · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Systems and Judicial Processes
Canadian institutionsnot available
Fundersnot available
KeywordsEnforcementNegotiationHydraulic fracturingGovernment (linguistics)BoomEnvironmental lawBusinessRedressPetroleum industryJurisprudenceNatural resourcePolitical scienceLawEngineering

Abstract

fetched live from OpenAlex

The Northeast British Columbia (NEBC) oil patch is undergoing a boom in land tenure sales, exploration, and production. This comes at a time of increasing public concern over the use of hydraulic fracturing (or “fracking”), an unconventional technology that ushered in a new era of production in NEBC, along with several new contentious issues. Recently, four significant regulatory changes have been enacted or planned for the immediate future. The first, likely in response to public concern over fracking, occurred in October 2010 with an overhaul of the decades-old Petroleum and Natural Gas Act and the coming into force of the bulk of the provisions in the Oil and Gas Activities Act. The changes primarily affect production and environmental management, and several new provisions have a direct impact on fracking. The second change under development is the creation of a long-awaited groundwater licencing regime, marking a stronger environmental presence in the NEBC, and possibly abrogating pre-existing extraction rights. The third change arises from the expiry of Crown-First Nation Consultation Process Agreements (CPAs). Recent jurisprudence continues to point to the need for improved consultation and accommodation, but current negotiations may or may not succeed in arriving at a more comprehensive successor to the expired CPAs. Finally, under British Columbia’s contaminated sites regime, new measures expand the liability exposure of oil patch operators for contaminated sites in both civil actions and government enforcement proceedings.

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)0.001
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: none
Teacher disagreement score0.969
Threshold uncertainty score0.662

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.024
GPT teacher head0.262
Teacher spread0.238 · 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

Citations1
Published2011
Admission routes2
Has abstractyes

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