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Record W7064645036

Capitalism, Global Militarism, and Canada’s Investment in the Caribbean

2024· article· en· W7064645036 on OpenAlexaboutno aff

Bibliographic record

VenueFlorida International University Digital Commons (Florida International University) · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101HyporeflexiaArticular cartilage damageSubpoenaGestational period
DOInot available

Abstract

fetched live from OpenAlex

At the end of the 1990s, there existed a belief that a growing Canadian military involvement in the Caribbean region was unlikely if it was not associated with Canada’s interest in Latin America (Klepak 1996). This view had such a large impact that today there is a dearth of information on Canada’s military involvement in the Caribbean region. Lacking systematic investigation, two myths have perpetuated: first that Canada has no stake or interest in Caribbean security, insofar as those interests cannot be tied to Canada’s interests in Latin America; and second, that all expressions of Canada’s involvement in Caribbean security are simply extensions of US security interests in the region. Looking at Canada as part of the Anglosphere, this paper analyzes Canada’s ongoing commitment in the Caribbean to preserving and expanding the political, social, economic, and ecological system that benefits Anglospheric capitalist accumulation and security objectives. Today, Jamaica is the host site for the Canadian Armed Forces Operation Support Hub in Latin America and the Caribbean (OSH-LAC), as Canada aims to position its long-term security partner as a regional sub-policeman of the region. OSH-LACs proximity to states like Haiti, a frequent site of Canadian intervention, should worry those concerned with Canada’s increased global militarism and imperialism in the world more broadly.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.899
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.007
GPT teacher head0.200
Teacher spread0.193 · 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.

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

Citations0
Published2024
Admission routes1
Has abstractyes

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Same venueFlorida International University Digital Commons (Florida International University)Same topicMagnetic confinement fusion researchFrench-language works237,207