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Record W4289667243 · doi:10.1177/00207020221116777

Canada’s cross-Pacific relations: From Asia-Pacific to Indo-Pacific

2022· article· en· W4289667243 on OpenAlexaffabout
Jacob Benjamin

Bibliographic record

VenueInternational Journal Canada s Journal of Global Policy Analysis · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsChinaIndo-PacificAsia pacificInternational relationsGovernment (linguistics)Political scienceConstructivePeriodizationForeign policyOrder (exchange)Pacific oceanPacific studiesEconomyInternational tradeSociologyEconomicsHistoryLawPoliticsAncient historyOceanographyAnthropology

Abstract

fetched live from OpenAlex

This essay proposes a periodization of Canada’s cross-Pacific relations: from the Asia-Pacific era beginning in the 1980s to the Indo-Pacific era beginning around 2018. In the era of the Asia-Pacific, Canada was relatively disengaged on matters other than economic relations, as Ottawa sought to capitalize on dynamic emerging markets. Canada’s non-confrontational approach enabled a constructive relationship with China. The conditions for this functional relationship changed as Xi Jinping’s China assumed a more overtly revisionist, risk-taking, and confrontational foreign policy. In light of this, like-minded players in Asian security have adopted the “Indo-Pacific” nomenclature and concept in order to facilitate more interaction with each other and maintain maritime security. Midway through the Trudeau government’s tenure, the “Indo-Pacific” is likewise being adopted, as relations between China have soured while relations with other Asian partners are increasingly prioritized, notably in the security domain.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.086
Threshold uncertainty score0.623

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0230.011
Scholarly communication0.0100.004
Open science0.0010.006
Research integrity0.0020.005
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 head0.010
GPT teacher head0.305
Teacher spread0.295 · 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 designTheoretical or conceptual
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

Citations1
Published2022
Admission routes2
Has abstractyes

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