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Explaining Canada’s Unsurprising Response to Russia’s Invasion of Ukraine, 2022–2023

2023· article· en· W4389453729 on OpenAlexaffabout
Aaron Ettinger

Bibliographic record

VenueDesafíos · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsCarleton University
Fundersnot available
KeywordsMultilateralismForeign policyPolitical scienceOrder (exchange)Government (linguistics)Political economyInternational tradePoliticsEconomicsLaw

Abstract

fetched live from OpenAlex

This study argues that Canada’s foreign policy behavior has remained predictably unchanged in the face of Russia’s invasion of Ukraine in 2022. Historically, Canada’s foreign policy has been directed by external considerations, specifically a liberal international order, multilateralism, key allies, and the United States. These orientations have determined Canadian foreign policy for generations. They guide Canada’s foreign policy decision-making but are sometimes contradictory. In the case of Ukraine in 2022, however, these orientations aligned perfectly, allowing the Justin Trudeau government to participate in international efforts to support Ukraine without controversy. This paper surveys four major external orientations and one domestic orientation before describing the country’s contributions to international efforts to support Ukraine. It concludes with a discussion about the troubling implications of a foreign policy that is tightly linked to external consideration: the costs of exit and the fundamental purpose of Canada’s foreign policy in the first place.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score0.678

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 studies0.0130.004
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.031
GPT teacher head0.298
Teacher spread0.267 · 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
Published2023
Admission routes2
Has abstractyes

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