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<b>Plotting Against Oil in American and Canadian Non-fiction</b> // Conspirando contra el petróleo en la no-ficción americana y canadiense

2017· article· en· W2788090448 on OpenAlexaboutno aff
Marta Wójcik-Czerwińska

Bibliographic record

VenueEcozon European Journal of Literature Culture and Environment · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsnot available
Fundersnot available
KeywordsDemocracyArt historyHumanitiesArtHistoryPolitical scienceLaw

Abstract

fetched live from OpenAlex

Abstract Stephanie LeMenager, literature professor and author of Living Oil: Petroleum Culture in the American Century (2014), opens her study of America’s relationship with the resource by asserting that reports of its death have been exaggerated. Oil not only drive American modernity, but also inspire writers to explore it, in both fiction and non-fiction. While “petrofiction,” fiction with oil at its core, has received critical attention, certain new developments in non-fictional writing centred on petroleum call for more consideration. This article, therefore, probes representations of oil in contemporary American and Canadian non-fiction. It analyses William L. Fox’s essay “A Pipeline Runs through It” (2011), which is based on a trip along the Trans-Alaska Pipeline, and Andrew Nikiforuk’s article “Canadian Democracy: Death by Pipeline” (2012), which discusses the impact of the proposed Northern Gateway Pipeline from Alberta to British Columbia. Adopting an ecocritical perspective, the article puts to the test LeMenager’s thesis that journalists are “expert plotters against oil” and “conservationists.” To this aim, it analyses the specific means by which the two journalists expose the presence of oil, and highlight its micro and macro implications, from its impact on the landscape and the lives of people whose livelihoods and cultures have been shaped by the natural world, to that on democracy and our minds. Resumen Stephanie LeMenager, profesora de literatura y autora de Living Oil: Petroleum Culture in the American Century (2014), abre su estudio sobre la relación de los Estados Unidos con el petróleo como recurso natural, mediante la afirmación de que los informes de su muerte han sido exagerados. El petróleo no sólo impulsa la modernidad americana sino también inspira a los escritores para explorarlo tanto en la ficción como en la no-ficción. Mientras que la “petroficción,” ficción centrada en el petróleo, ha sido objeto de atención crítica, algunos nuevos desarrollos en la escritura de no-ficción centrada en el petróleo causan mayor interés. Este artículo trata de representar al petróleo en la no-ficción contemporánea americana y canadiense. Analiza el ensayo de William L. Fox “A Pipeline Runs through It” (2011), basado en un viaje a lo largo del sistema de oleoducto Trans-Alaska, y el artículo de Andrew Nikiforuk “Canadian Democracy: Death by Pipeline” (2012), discutiendo el impacto de la propuesta del oleoducto del Norte desde Alberta hasta la Columbia Británica. Adoptando una perspectiva ecocrítica, el artículo pone a prueba las tesis de LeMenager de que los periodistas como “expertos conspiradores contra el petróleo” y “conservacionistas”. Para ello, analiza los medios específicos por los cuales los dos periodistas exponen la presencia de petróleo y destacan sus macro y micro implicaciones, desde su impacto en el paisaje y en las vidas de las personas cuyos medios de vida y culturas han sido moldeadas por el mundo natural, hasta su impacto en la democracia y en nuestras mentes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.127
Threshold uncertainty score0.322

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0270.023
Scholarly communication0.0130.003
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.005
GPT teacher head0.178
Teacher spread0.173 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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