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Record W3160336185 · doi:10.1215/22011919-8867197

Oil as Solution to the Problems of Oil

2021· article· en· W3160336185 on OpenAlexafffund
Kyle Conway, Manjulika Robertson

Bibliographic record

VenueEnvironmental Humanities · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsDalhousie UniversityUniversity of Ottawa
FundersUniversity of Ottawa
KeywordsPetroleum industryBoomOil boomOpposition (politics)PetroleumCraftPoliticsEngineeringPolitical sciencePetroleum engineeringEconomyEconomicsHistoryLawGeologyEnvironmental engineering

Abstract

fetched live from OpenAlex

Abstract In North America, one factor shaping petromodernity is the idea that oil offers a solution to the very problems it causes. This article examines that paradox, focusing on the 1950s. It analyzes a set of pamphlets from the Petroleum Industry School Program that were distributed by the American Petroleum Institute (API), the trade organization that promotes the US oil industry. It first describes the evolution of support for and opposition to the oil industry as well as that of the ideas of freedom that the industry sought to mobilize to gain public support. Next it describes the content of the pamphlets, which employed a series of binary pairs, such as success/failure and risk/reward. API used these pairs to craft stories that acknowledged problems inherent in the oil industry, invoked their inverse, and showed how oil solved them. This article concludes by describing the real-world consequences of API’s efforts as they were manifest in processes of policy formation in North Dakota during its 1951–54 oil boom. Through its efforts to frame discussions about oil, API made it possible for political leaders to make decisions about technical issues from which the oil industry stood to benefit.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.020
Scholarly communication0.0050.005
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.177
Teacher spread0.165 · 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 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

Citations4
Published2021
Admission routes2
Has abstractyes

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