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Record W2942093396 · doi:10.3138/cjfs.27.2.2018-0001

Hollywood Goes North: The Making of a “Canadian” War Epic, <i>Captains of the Clouds</i>

2018· article· fr· W2942093396 on OpenAlexaffvenueabout
Jessica Leonora Whitehead

Bibliographic record

VenueCanadian Journal of Film Studies · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsHollywoodHumanitiesArtEPICMovie theaterArt historyLiterature

Abstract

fetched live from OpenAlex

L’auteure se penche sur la production et la promotion du film Les chevaliers du ciel ( Captains of the Clouds), l’un des premiers longs métrages à être tourné hors studio au Canada. L’importance de ce film tient au fait que sa réalisation est le résultat d’un partenariat entre le gouvernement canadien, l’Aviation royale du Canada et Warner Brothers. En s’appuyant sur les documents réunis principalement dans les archives de la Warner Brothers et à la bibliothèque Margaret Herrick, l’auteure s’intéresse plus particulièrement au lien historique entre Hollywood et le Canada. Alors que le Canada est souvent considéré de nos jours comme le Hollywood du Nord, l’auteure met en lumière les difficultés initiales associées aux incursions de Hollywood en territoire canadien. Elle étudie également les luttes de la production cinématographique au Canada, en raison de son statut de « succursale de Hollywood », et en quoi ces écueils ont ultimement freiné l’authentique production nationale. La réalisation de Les chevaliers du ciel est représentative de l’industrie cinématographique canadienne, Hollywood contrôlant la production in fine de par son hégémonie sur l’exploitation et la distribution des films au pays.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.593
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0030.010
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.042
GPT teacher head0.258
Teacher spread0.216 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2018
Admission routes3
Has abstractyes

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