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Record W4413802766 · doi:10.24908/iqurcp19043

Canada's Involvement in Overseas Conflict: Navigating International Engagement

2025· article· en· W4413802766 on OpenAlexaffvenueabout
Elizabeth Liteplo

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsQueen's University
Fundersnot available
KeywordsPeacekeepingPolitical scienceOpposition (politics)Government (linguistics)Scope (computer science)Strengths and weaknessesPublic relationsPublic administrationPoliticsLawPsychologySocial psychology

Abstract

fetched live from OpenAlex

The purpose of this research is to develop informed recommendations on the appropriate nature and scope of Canada’s future involvement in overseas conflict based on a review and analysis of Canada’s involvement in the past. With conflict around the world increasing in frequency and complexity and the potential for catastrophic consequences, it is more important than ever that the Canadian Government develop appropriate foreign policy for Canada’s involvement in overseas conflict that reflects Canada’s capabilities, including both its strengths and limitations, to ensure that Canada maximizes its influence and positive contribution while minimizing its risks. This research aims to contribute to this development. Using the case studies of Canada’s intended peacekeeping role in former Yugoslavia and nation-building role in Afghanistan, this research means to answer the following: How should Canada’s past involvement in overseas conflict, both diplomatically and militarily, influence its future involvement in overseas conflict? In former Yugoslavia, many Canadian peacekeepers were sent to the region and, working with other states, successfully helped achieve lasting stability. In Afghanistan, the results differed drastically from the former. Canada and its allies faced what ultimately proved to be insurmountable opposition, suffered the loss of substantial human and other resources, and failed to achieve stability and peace. These vastly different cases illustrate the strengths and successes as well as the flaws and shortcomings associated with Canada’s involvement. From that vantage point, this research looks to make informed recommendations on how Canada should address future conflicts to maximize effective, successful participation and minimize its risk, taking into account the available resources and state relations.

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)0.006
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.114
Threshold uncertainty score0.825

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.012
Science and technology studies0.0190.007
Scholarly communication0.0210.006
Open science0.0020.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.118
GPT teacher head0.436
Teacher spread0.318 · 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 designNot applicable
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

Citations0
Published2025
Admission routes3
Has abstractyes

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Same venueInquiry Queen s Undergraduate Research Conference ProceedingsSame topicPeacebuilding and International SecurityFrench-language works237,207