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Record W4367840762 · doi:10.25148/etd.fidc010299

Canadian Banks and Imperialism in the English-Speaking Caribbean

2021· dissertation· en· W4367840762 on OpenAlexaboutno aff
Tamanisha J John

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicCaribbean history, culture, and politics
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismScholarshipCapitalismContext (archaeology)HegemonyNarrativeEconomyPolitical economyAgency (philosophy)Political sciencePower (physics)IncentiveCapital (architecture)PoliticsEconomicsGeographyMarket economySociologySocial scienceLaw

Abstract

fetched live from OpenAlex

Canadian banks have been important components of an imperialist system since at least the 19th century. However, their long and rich history of operating as purely exploitative entities in the English-speaking Caribbean region is often overlooked— leading to many incomplete and conflicting narratives about Canada’s role within the global system. I argue that Canada is an imperial actor that exerts agency in supporting a Canadian banking oligopoly both within Canada and in the English-speaking Caribbean. Insufficient attention is given to these Canadian banks, especially considering the power they have wielded in the Caribbean over the centuries. By analyzing the relationship between Canadian banks and the Caribbean, this project helps compensate for a lack of attention given to the Caribbean region in international relations scholarship. The Caribbean region once informed the global political economy via the production of sugar using enslaved labor. In the present, Caribbean states provide incentives to foreign investors that maintain relationships of exploitation by foreign capital. My dissertation looks at how Canadian banks, in the context of global capitalism and structures of corporate power, have exploited their advantageous position in the Caribbean from the time of British colonialism to the present.

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)0.001
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: none
Teacher disagreement score0.066
Threshold uncertainty score0.480

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0200.009
Scholarly communication0.0070.001
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 head0.013
GPT teacher head0.275
Teacher spread0.262 · 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
Published2021
Admission routes1
Has abstractyes

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