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Record W2766029649 · doi:10.3138/jcs.51.1.134

Fracking the National Ethos: The Pressures of Globalization on Sovereignty and Justice in Will Ferguson’s <i>419</i>

2017· article· en· W2766029649 on OpenAlexvenueaboutno aff
Ana María Fraile Marcos

Bibliographic record

VenueJournal of Canadian Studies · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsnot available
Fundersnot available
KeywordsSovereigntyEthosSociologyGovernmentalityPoliticsEconomic JusticeEnvironmental ethicsCosmopolitanismTrope (literature)LawPower (physics)Political sciencePhilosophy

Abstract

fetched live from OpenAlex

This article looks at the award-winning 2012 novel 419, by Calgary-based author Will Ferguson, through the lens of fracking, understood as a trope for pressure that may destabilize received understandings, releasing new awareness, knowledge, and political action. I argue that 419 is an inquiry into the strain that increasing global connectivity and unfettered late capitalism exert on the modern concept of sovereignty and on contemporary notions of justice. I also suggest that Ferguson’s use of the thriller genre introduces an innovative move by resisting both retributive and restorative justice resolutions. Furthermore, Ferguson’s novel functions as a petrofiction by placing oil at the centre of the discussion about the intersection of sovereignty, justice, and ethics, while offering a scathing critique of how energy resources around the world are managed through the exercise of bio- and necro-power. The novel is thus firmly anchored in contemporary debates about bio- and necro-politics that revolve round Michel Foucault’s unfinished project on governmentality. Consequently, my analysis draws on a variety of philosophical theories that reveal contesting understandings of sovereignty (Foucault, Montag, Mbembe, Banerjee) and humanity (Agamben, Butler) vis-à-vis the socio-cultural aspects of oil and energy both in Canada and in the world (Ghosh, Szeman, Gordon).

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 score0.899

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 studies0.0010.000
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 head0.072
GPT teacher head0.295
Teacher spread0.223 · 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

Citations1
Published2017
Admission routes2
Has abstractyes

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