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Record W2004301137 · doi:10.3917/eh.054.0067

Canadian Multinational Corporations and Economic Nationalism: The Case of Imperial Oil Limited in Alberta (Canada) and Colombia, 1899-1938

2010· article· fr· W2004301137 on OpenAlexaboutno aff
Marcelo Bucheli

Bibliographic record

VenueEntreprises et histoire · 2010
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicNatural Resources and Economic Development
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesMultinational corporationEthnologySociologyArtLaw

Abstract

fetched live from OpenAlex

Résumé Au cours du XX e siècle, le capital canadien s’est investi dans le secteur pétrolier latinoaméricain par l’entremise de l’International Petroleum Company (IPC). Jusqu’à ce jour, les chercheurs ont négligé de prendre en compte la citoyenneté canadienne de l’IPC et l’ont considérée comme une compagnie américaine parce que l’IPC était une filiale de la Standard Oil of New Jersey. En utilisant un corpus inexploité de sources de première main, cet article montre que l’implantation de l’IPC en Colombie a constitué une réponse à l’âpre concurrence qu’elle rencontrait au Canada, à ses échecs pour trouver des gisements de brut au Canada et à l’hostilité politique que le mouvement progressiste lui a manifestée au Canada. À l’origine, la compagnie voulait utiliser les gisements colombiens comme un complément à ceux du Canada. Les conditions politiques et le manque de ressources au Canada ont fait de la Colombie un fournisseur majeur de brut pour l’IPC.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.159
Threshold uncertainty score0.976

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0150.005
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.009
GPT teacher head0.190
Teacher spread0.181 · 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 designObservational
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

Citations9
Published2010
Admission routes1
Has abstractyes

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