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Record W3158711664 · doi:10.11575/prism/35950

Public Acceptance And Engagement In Canadian Energy Infrastructure Projects: A Case-study Examination Of The Kinder Morgan Trans Mountain Expansion Project

2015· article· en· W3158711664 on OpenAlexaboutno aff
Ashley Clair

Bibliographic record

VenuePRISM (University of Calgary) · 2015
Typearticle
Languageen
FieldEngineering
TopicInfrastructure Resilience and Vulnerability Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPublic engagementPolitical sciencePublic administrationEnvironmental planningPublic relationsGeography

Abstract

fetched live from OpenAlex

There has been a recent and unprecedented push to transport Canada’s land-locked oil sands to international markets via pipeline access to tidewaters. Kinder Morgan’s Trans Mountain Expansion Project (TMEP), proposing to transport crude oil from north of Edmonton, Alberta to Burnaby, British Columbia, has received significant media and public attention due to vocal opposition. Using TMEP as a case study, I examine whether current public engagement practices in large-scale energy development projects in Canada are meeting public expectations. Results of the study reveal that despite high levels of participation in the National Energy Board (NEB) regulatory review, significant gaps exist between public values and the review process in the areas of (1) Climate Change, (2) Environmental and Economic Risk; and, (3) Process Legitimacy. Such gaps have eroded public confidence in the ability of the NEB to make a decision in the interest of the public. I conclude this study with recommendations developed to address the deficiencies in the current public engagement approach used by the NEB.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.378
Threshold uncertainty score0.811

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.020
GPT teacher head0.204
Teacher spread0.185 · 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 designObservational
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
Published2015
Admission routes1
Has abstractyes

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