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Record W4408406230 · doi:10.22230/cjc.2017v43n1a3290

Fuelling the Nation: Imaginaries of Western Oil in Canadian Nontheatrical Film

2018· article· en· W4408406230 on OpenAlexafffundvenueabout
Rachel Webb Jekanowski

Bibliographic record

VenueCanadian Journal of Communication · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature, Film, and Journalism Analysis
Canadian institutionsConcordia University
FundersConcordia University
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Background Canadian nontheatrical cinema has historically positioned natural resource extraction as intrinsic to the country’s economic development and national identity. During the 1940s and 1950s in particular with the discovery of Alberta’s vast oil reserves, industrial and documentary films about oil extraction associated petroleum with nation-building and modernization. Analysis This article examines The Story of Oil (1946, produced by the National Film Board of Canada), A Mile Below the Wheat (1949, sponsored by Imperial Oil), and Underground East (1953, sponsored by Imperial Oil) as examples of such “petro-films” following the oil booms in Turner Valley and Leduc, Alberta. Conclusion and implications The author demonstrates how these texts sought to position Western oil development in relation to contemporaneous resource industries, namely wheat agriculture and ranching. These films leveraged such comparisons to other regional “fuels” to situate petroleum within pre-existing national imaginaries about Canada’s twentieth-century resource economy, and normalize the oil industry’s land-use practices and transportation infrastructures like pipelines.

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: none
Teacher disagreement score0.083
Threshold uncertainty score0.324

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0220.021
Scholarly communication0.0130.004
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.025
GPT teacher head0.231
Teacher spread0.206 · 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

Citations1
Published2018
Admission routes4
Has abstractyes

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