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Record W7132866569

Brazilian Traction, Light and Power Company Limited, 1899--1919: a case study in the geography of financial capital

2005· dissertation· W7132866569 on OpenAlexaboutno aff
Alan Vernon Dean

Bibliographic record

VenueTSpace · 2005
Typedissertation
Language
FieldEconomics, Econometrics and Finance
TopicBrazilian History and Foreign Policy
Canadian institutionsnot available
Fundersnot available
KeywordsGlobalizationCapital (architecture)Financial capitalPower (physics)Developing countryWorld War IIFinancial globalizationOrder (exchange)Period (music)
DOInot available

Abstract

fetched live from OpenAlex

Brazilian Traction, Light and Power Company Limited ("Brazilian Traction") was one of several Canadian companies that established electric streetcar, light and power utilities in developing countries during the period from the late 1890s up to the First World War. This thesis examines how these companies emerged on the international stage during this period of early globalization by analyzing Brazilian Traction, with a focus on the evolution of its financial structure based on research into primary sources on the company and its predecessors. It is argued that Canadian companies were able to play a more central role in the world economy by their unique ability to bring together new electric technology from the United States and surplus capital from Western Europe and apply them to developing countries. It is also argued that this early globalization was disrupted by the First World War and the resulting changes to the international finance system.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.684
Threshold uncertainty score0.636

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0050.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.273
Teacher spread0.255 · 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

Citations0
Published2005
Admission routes1
Has abstractyes

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