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Record W3191824843 · doi:10.2458/jpe.2967

Fractured alliance: state-corporate actions and fossil fuel resistance in Northwest British Columbia, Canada

2021· article· en· W3191824843 on OpenAlex
Fiona MacPhail, Paul Bowles

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Political Ecology · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsUniversity of Northern British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsAllianceFossil fuelCorporate governanceEnergy securityPoliticsState (computer science)Liquefied natural gasPolitical scienceNatural gasEconomyBusinessEnvironmental protectionEngineeringGeographyEconomicsRenewable energyWaste managementFinanceLaw

Abstract

fetched live from OpenAlex

The northwest region of British Columbia, Canada has been at the center of multiple fossil fuel projects over the past decade as corporations have sought access to the coastline in order to export their products. Analyzing the dynamics of how and why groups and communities responded to two specific fossil fuel projects, we address the question: why did the "unlikely alliance" formed at the local level in northwest B.C. to resist the Enbridge oil pipeline project fracture just a few years later in the case of the LNG Canada/Coastal GasLink Liquefied Natural Gas project and pipeline project? We argue that the fracturing arose in part because of historic vulnerabilities of the resource periphery, and the legacy of settler colonial governance but also because state and corporate actors used their powers to increase the financial incentives for communities to support LNG projects, to change the discourse on fossil fuels by promoting the concept of LNG as "clean"energy, deflecting attention from the fracking of natural gas, and to isolate environmental organizations by casting them as "outsiders." The findings contribute to the literature by analyzing the reasons not only for the formation but also for the fragility and fracturing of alliances in contemporary energy politics.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.434
Threshold uncertainty score0.999

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)0.0010.000

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 head0.007
GPT teacher head0.200
Teacher spread0.193 · 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