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Record W3202289823 · doi:10.1177/00207020211049326

The Middle East in Canadian foreign policy and national identity formation

2021· article· en· W3202289823 on OpenAlexaffabout
Jeremy Wildeman

Bibliographic record

VenueInternational Journal Canada s Journal of Global Policy Analysis · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMiddle EastForeign policyIdentity (music)National identityCivilizationPolitical scienceMythologyPolitical economyEconomyGender studiesSociologyLawHistoryPoliticsEconomics

Abstract

fetched live from OpenAlex

While often overlooked, the Middle East has been a pivotal geographical and discursive space in Canadian foreign policy and national identity formation. The region was the birthplace of Canada’s liberal internationalist foreign policy identity, Pearsonianism, and the national myths associated with it. The Middle East also appears to be where Pearsonianism was later superseded by a more realist foreign policy approach, centred on key bilateral relationships with Western countries and a shared sense of Western civilisation. For reasons tied to identity formation and how Canadians perceive their place in the world, the Middle East is therefore a deeply contested space in the domestic arena and a site of deep divisions today. With the support of three contemporary case studies—Israel and Palestine, Saudi Arabia, and Iran—this paper explores how Canada’s ties to the Middle East have shaped and continue to shape Canada’s foreign policy, national identity, and place in the world.

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)0.004
metaresearch head score (Gemma)0.005
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 score0.163
Threshold uncertainty score0.971

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0350.018
Scholarly communication0.0140.003
Open science0.0010.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.022
GPT teacher head0.316
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
Published2021
Admission routes2
Has abstractyes

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