MétaCan
Menu
Back to cohort
Record W2735473118 · doi:10.11575/prism/34277

Bill C-38 and the Evolution of the National Energy Board: The Changing Role of the National Energy Board from 1959 to 2015

2016· article· en· W2735473118 on OpenAlexfundno aff
Sonya Savage

Bibliographic record

VenueOpen MIND · 2016
Typearticle
Languageen
FieldEnergy
TopicEnergy, Environment, and Transportation Policies
Canadian institutionsnot available
FundersRaincoast Conservation FoundationGovernment of CanadaUniversity of Calgary
KeywordsEnergy (signal processing)On boardPolitical scienceBusinessEngineeringPhysics

Abstract

fetched live from OpenAlex

This paper will explore how the legislative changes and the torqued political debate surrounding the development and transportation of crude oil is changing the role of the National Energy Board (NEB). It will examine how environmental activists strategically targeted the hearing processes of the NEB and how the Federal government responded with Bill C-38, a “legislative fix” to this activity. It will consider how Bill C-38, in turn, led to more demands for public consultation in the process, parallel provincial processes, more litigation and judicial review and a growing lack of public confidence in the integrity of the process and of the NEB itself. Finally, it will explore how all of this may have led to an evolving activist regulator, sensitive to public opinion far and beyond its role as originally conceived. This paper will examine the historical roots of the NEB, its role over the past 56 years and how that has evolved as a result of Bill C-38 amendments and the current political storm. It will examine Bill C-38 and conclude that those changes, in and of themselves, did not fundamentally change how the NEB conducts its business or its independence. Instead, the evolving role of the NEB is more connected to building public trust in its role as a regulator and repairing a public perception of a gutted process than to anything that Bill C-38 itself changed. All of this will be examined through four case studies of oil pipeline projects before the Board before and after the 2012 amendments.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.844
Threshold uncertainty score0.996

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.239
Teacher spread0.226 · 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 designTheoretical or conceptual
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

Citations3
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueOpen MINDSame topicEnergy, Environment, and Transportation PoliciesFrench-language works237,207