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Record W2400175250 · doi:10.1017/eso.2015.80

Canadian Entrepreneurs and the Preservation of the Capitalist Peace in the North Atlantic Triangle in the Civil War Era, 1861–1871

2016· article· en· W2400175250 on OpenAlexaboutno aff
Andrew Smith, L. Mussio

Bibliographic record

VenueEnterprise & Society · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipMilitarizationCeteris paribusCapitalismSpanish Civil WarBusiness historyPolitical economyPolitical scienceSociologyEconomyEconomic historyEconomicsLaw

Abstract

fetched live from OpenAlex

In their 2013 book Reimagining Business History , Philip Scranton and Patrick Fridenson called on business historians to reassess militarization and the “two-way exchanges” between the military and the private sector. The call is timely. The extensive business-historical scholarship on the relationship between companies and war sensibly focuses on companies that profited from their involvement in the military-industrial complex. 1 The business-historical literature is virtually silent, however, on the role of business in preventing wars from starting in the first place. In other words, business historians have missed a productive opportunity to engage with capitalist peace theory (CPT), an increasingly important theory in the discipline of international relations (IR). Many IR scholars now argue that the mutual economic interdependence characteristic of global capitalism reduces the likelihood of war. Their research suggests that while extensive cross-border economic linkages do not preclude the possibility of war, the creation of a transnational community of economic interests tends, ceteris paribus , to reduce the frequency, duration, and intensity of warfare. 2

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.218
Threshold uncertainty score0.840

Codex and Gemma teacher scores by category

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

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 head0.013
GPT teacher head0.181
Teacher spread0.168 · 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 teacher head, 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

Citations1
Published2016
Admission routes1
Has abstractyes

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