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Record W2084310489 · doi:10.1017/s0260210509008468

The contradictions of regionalism in North America

2009· article· en· W2084310489 on OpenAlexaffabout
Ann Capling, Kim Richard Nossal

Bibliographic record

VenueReview of International Studies · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsSocial Sciences and Humanities Research Council
Fundersnot available
KeywordsRegionalism (politics)RegionalisationProsperityPolitical sciencePoliticsEconomic integrationFree tradeGeneral partnershipFree trade agreementInternational tradeEconomyGeographyPolitical economyEconomicsLaw

Abstract

fetched live from OpenAlex

Abstract Students of regionalism almost reflexively include North America in their lists of regions in contemporary global politics. Inevitably students of regionalism point to the integrative agreements between the countries of North America: the two free trade agreements that transformed the continental economy beginning in the late 1980s – the Canada–US Free Trade Agreement that came into force on 1 January 1989, and the North American Free Trade Agreement (NAFTA) between the United States, Mexico, and Canada, that came into force on 1 January 1994 – and the Secutity and Prosperity Partnership of North America (SPP), launched in March 2005. These agreements, it is implied, are just like the integrative agreements that forge the bonds of regionalism elsewhere in the world. We argue that this is a profound misreading, not only of the two free trade agreements of the late 1980s and early 1990s and the SPP mechanism of 2005, but also of the political and economic implications of those agreements. While these integrative agreements have created considerable regionalisation in North America, there has been little of the regionalism evident in other parts of the world. We examine the contradictions of North America integration in order to explain why North Americans have been so open to regionalisation but so resistant to regionalism.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.664
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.038
GPT teacher head0.377
Teacher spread0.339 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations25
Published2009
Admission routes2
Has abstractyes

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