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Record W2408975503 · doi:10.3390/h5020044

Extracting the Past from the Present: Exotic Prizes, Empty Wilderness, and Commercial Conquest in Two Oil Company Advertisements, 1925–2012

2016· article· en· W2408975503 on OpenAlexaffabout
Ian Wereley

Bibliographic record

VenueHumanities · 2016
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsCarleton University
FundersConocoPhillips
KeywordsCONQUESTWildernessOil paintingColonialismHistoryAdvertisingAncient historyArt historyArchaeologyBusinessPaintingEcology

Abstract

fetched live from OpenAlex

This article undertakes a comparative analysis of two oil company advertisements—British Petroleum’s (BP) “Persian Series”, published in London in 1925, and Cenovus Energy’s “Canadian Ideas at Work”, published across Canada in 2012. These advertisements are separated by eighty-seven years, and were produced in different countries, by different companies, and for different audiences. Yet, a closer reading of these documents reveals that they are two sides of the same coin: both narrate the extraction of oil as a great game of commercial conquest, whereby exotic prizes trapped beneath wild and empty landscapes are unlocked by oil companies. How could two advertisements that appear so radically distant feel so close? In what ways do the oil cultures of the past inflect those of the present? This article engages with such questions by critically deconstructing and comparing the imagined worlds of oil presented in BP and Cenovus’ advertisements, tracing the ways in which the resource is represented through the binaries of ancient and modern, empty and urban, wild and civilized. By configuring oil as a constellation of ideas rather than a system of things, this investigation reveals how the colonial legacies of the past continue to seep through the oil cultures of the present.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.090
Threshold uncertainty score0.179

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0120.013
Scholarly communication0.0090.005
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.051
GPT teacher head0.288
Teacher spread0.237 · 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 designQualitative
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

Citations2
Published2016
Admission routes2
Has abstractyes

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