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Record W2087573734 · doi:10.7202/1021210ar

The Networked Infrastructure of Fossil Capitalism: Implications of the New Pipeline Debates for Environmental Justice in Canada

2014· article· en· W2087573734 on OpenAlexaffvenueabout
Dayna Nadine Scott

Bibliographic record

VenueRevue générale de droit · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental Justice and Health Disparities
Canadian institutionsYork University
Fundersnot available
KeywordsEnvironmental justiceIndigenousCapital (architecture)CapitalismCommodificationResistance (ecology)Pipeline transportEnvironmental ethicsSociologyEconomyNatural resource economicsLawEngineeringEconomicsPolitical scienceGeographyArchaeologyEcology

Abstract

fetched live from OpenAlex

A read of the critical geography literature on the concept of “networked infrastructures” generates two arguments in relation to the environmental justice implications of the new pipeline debates. First, the proposed coast-to-coast pipeline is likely to exacerbate existing environmental inequities in Canada. Conceiving of the crude oil in a pipeline as a material flow of commodified nature demonstrates that, at the end of the pipe, inputs of labour, technology and capital are required to convert the crude into useable forms of energy . This leads to a serious engagement with the communities at the ends of the proposed pipes. Here, I illustrate the type of analysis that is required with a preliminary examination of the expected environmental health impacts from increased refinery emissions in Sarnia, Montréal and Saint John. Second, the notion that pipelines, despite their vital effects, are fixed and durable installations of built infrastructure—lending a marked inertia to the routes they cement—produces intergenerational equity concerns in relation to fossil capitalism. These concerns are brought powerfully to the fore by activists under the banner of Idle No More. In fact, it is this growing indigenous resistance movement centered on lands and resources that best illustrates the obvious contradiction: the permanence of the pipelines on the landscape, once built, underscores the gravity of the choices we are weighing, just as the active resistance of indigenous people across the county reveals the inherent instability of the networked infrastructure.

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 score0.636
Threshold uncertainty score0.743

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 head0.008
GPT teacher head0.235
Teacher spread0.228 · 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

Citations27
Published2014
Admission routes3
Has abstractyes

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