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Record W2748284947 · doi:10.1177/0020702017725045

A realist foreign policy for Canada in the Middle East

2017· article· en· W2748284947 on OpenAlexaffabout
Thomas Juneau

Bibliographic record

VenueInternational Journal Canada s Journal of Global Policy Analysis · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMiddle EastContext (archaeology)Perspective (graphical)Foreign policyPolitical scienceWork (physics)Focus (optics)Public administrationSociologyPolitical economyLawPoliticsHistoryComputer science

Abstract

fetched live from OpenAlex

Canada’s policies in the Middle East receive large amounts of media attention, but there is surprisingly little scholarly work about them. Of the few studies on the topic, moreover, most focus on analyzing past or current policies. This is certainly useful, but there is virtually no academic work focused on prescription. There is, as such, a need for theoretically informed studies laying out the rationale for a sound Canadian policy framework for the region. In this context, this paper proposes to look at Canada’s Middle East policies from a realist perspective. What are Canada’s interests? How should these translate into policy? The goal here is not to make specific prescriptions regarding each conflict or bilateral relation, but rather to propose a comprehensive framework to guide Ottawa’s broad approach to the Middle East.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.141
Threshold uncertainty score0.996

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0170.009
Scholarly communication0.0120.003
Open science0.0010.003
Research integrity0.0040.004
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 head0.039
GPT teacher head0.340
Teacher spread0.301 · 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

Citations2
Published2017
Admission routes2
Has abstractyes

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