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Record W1979253100 · doi:10.1080/02722011003734712

From Middle Power to Peacebuilder: The Use of the Canadian Forces in Modern Canadian Foreign Policy

2010· article· en· W1979253100 on OpenAlexaffabout
Robert W. Murray, John McCoy

Bibliographic record

VenueThe American Review of Canadian Studies · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary and Defense Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPeacekeepingMiddle powerTimelineForeign policyPolitical sciencePower (physics)Public administrationInternational securityPolitical economyLawSociologyPoliticsGeography

Abstract

fetched live from OpenAlex

Traditionally, Canadian foreign policy was committed to maintaining a middle ground between large and minor powers. Canada dedicated itself to ensuring its national security and participated heavily in international institutions to do so. Canadian Forces' participation in the NATO mission in Afghanistan since 2001 may prove that the ideas of middlepowermanship and peacekeeping have been replaced as the dominant Canadian military strategies in favor of peacebuilding. As the timeline for Canadian withdrawal from Afghanistan approaches, it is time to determine how successful the shift in Canadian military practice has been and what its consequences may be for Canada on the international stage. By examining Canada's traditional role as a middle power and comparing that role with Canada's modern counterinsurgency strategy, we argue that, until the Canadian Forces are given the adequate tools, Canadian military policy should adhere to the traditional peacekeeping model and not be overly eager to erode national military power.

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)0.008
metaresearch head score (Gemma)0.014
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 score0.841
Threshold uncertainty score0.975

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0080.018
Science and technology studies0.0120.016
Scholarly communication0.0110.004
Open science0.0020.002
Research integrity0.0010.002
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 head0.079
GPT teacher head0.333
Teacher spread0.254 · 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

Citations24
Published2010
Admission routes2
Has abstractyes

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