MétaCan
Menu
Back to cohort
Record W3006281759 · doi:10.33137/mt.v7i2.33668

Advertising an Empire of Oil: The British Petroleum Company and the Persian Khan Exhibit of 1924–1925

2020· article· en· W3006281759 on OpenAlexaffvenue
Ian Wereley

Bibliographic record

VenueMediaTropes · 2020
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsCarleton University
Fundersnot available
KeywordsPersianEmpirePublicityExhibitionPetroleumValue (mathematics)The ImaginaryAdvertisingHistoryPolitical scienceAncient historyLawArt historyBusinessPsychology

Abstract

fetched live from OpenAlex

This article explores the publicity and advertising campaigns undertaken by the British Petroleum Company (BP) during the 1920s, focusing specifically on the Persian Khan exhibit mounted at the British Empire Exhibition of 1924–1925. Despite their rich value as primary sources, the marketing campaigns of British oil companies—and in particular of BP—have been relatively overlooked by historians. Using an energy humanities approach, the article reconstructs the Khan exhibit and its galleries, revealing an imaginary world in which oil was framed as an exotic prize held captive beneath wild and inhospitable landscapes. As BP’s most elaborate and expensive advertising campaign of the 1920s, seen and visited by millions, the Persian Khan exhibit provides a valuable lens through which to view the broader development of British attitudes toward oil during the period.

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)0.000
metaresearch head score (Gemma)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.159
Threshold uncertainty score0.317

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.004
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.012
GPT teacher head0.239
Teacher spread0.227 · 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
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
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueMediaTropesSame topicGlobal Energy and Sustainability ResearchFrench-language works237,207