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Big and Little Brother Bilateralism: Security, Prosperity, and Canada’s Deal With Colombia

2008· article· en· W1558475496 on OpenAlexvenueaboutno aff
Teresa Healy, Sheila Katz

Bibliographic record

VenueStudies in Political Economy · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Relations in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsProsperityRhetoricPoliticsBilateralismState (computer science)DemocracyPower (physics)BrotherInvestment (military)Political economyHuman rightsPolitical scienceFreedom of choiceLaw and economicsLawSociologyEconomics

Abstract

fetched live from OpenAlex

The neoliberal rhetoric of free trade offers rosy pictures of a “flat world,” a “level playing field” in which freedom may bloom thanks to the removal of restrictions and barriers. In their discussion of Canada’s decision to establish a bilateral free trade agreement with Colombia, Teresa Healy and Sheila Katz expose the harsh reality of power politics underlying the rhetoric of freedom. They show that the deal with Colombia is part of a new state strategy in which Canada, as a junior partner of the United States, is forging and exporting a new investment regime inspired by NAFTA, but within a framework of enhanced so-called security measures that seriously limit human rights and democratic freedoms.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.067
Threshold uncertainty score0.462

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.009
Scholarly communication0.0120.003
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0080.000

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 head0.033
GPT teacher head0.321
Teacher spread0.288 · 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

Citations7
Published2008
Admission routes2
Has abstractyes

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