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Record W2040595110 · doi:10.1080/17449359.2015.1029943

Under (Canadian) Cover: Standard Oil (NJ) and the International Petroleum Company in Peru and Colombia, 1914–1948

2015· article· en· W2040595110 on OpenAlexaffabout
Graham D. Taylor

Bibliographic record

VenueManagement & Organizational History · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicNatural Resources and Economic Development
Canadian institutionsTrent University
Fundersnot available
KeywordsSubsidiaryMultinational corporationLatin AmericansPetroleum industryForeign direct investmentPetroleumInternational tradeEconomyBusinessEconomicsFinancePolitical scienceEngineeringLaw

Abstract

fetched live from OpenAlex

In 1914, Standard Oil (New Jersey) made its first major investments in Latin America, in Peru and shortly thereafter in Colombia. For strategic reasons Standard Oil set up these ventures through a Canadian subsidiary, Imperial Oil, establishing the International Petroleum Company. As a result, over the next three decades Standard's operations in these countries featured a complex set of relationships involving the host countries, Peru and Colombia, but also its own subsidiaries which became integrated companies in their own right. In addition, Standard Oil, which had initially intended to develop oil supplies for its domestic market, became increasingly tied to the growing markets of the host countries. This study indicates the complicated nature of foreign direct investment undertakings and the unintended consequences of multinational enterprise strategies.

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.175
Threshold uncertainty score0.553

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0050.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.1650.022

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 head0.016
GPT teacher head0.167
Teacher spread0.151 · 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

Citations1
Published2015
Admission routes2
Has abstractyes

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