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Record W3156348008 · doi:10.24908/iqurcp.9516

Canada at Peace and Soldiers at War: Canadian U.N. Soldiers in Korea, Egypt, and Vietnam

2018· article· en· W3156348008 on OpenAlexvenueaboutno aff
Bronwyn Jaques

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary History and Strategy
Canadian institutionsnot available
Fundersnot available
KeywordsPeacekeepingPolitical scienceMythologyLawSacrificeSociologyHistory

Abstract

fetched live from OpenAlex

In recent years, Canadian peacekeeping and UN involvement has assumed a place of high regard, reverence, and veneration, often at the expense of Canada’s military past. While its glorification is in many ways justified, the mythology surrounding Canada’s peacekeeping role has compelled many Canadians to view Canada solely as a peacekeeping nation. As a result, peacekeeping has become the “touchstone of our identity.” This mythology distorts the reality of Canadian military action to the point where Canadian veterans of NATO conflicts are often forgotten and it ignores the fact that many of the first peacekeepers left Canada “virtually unnoticed,” without the recognition and support of their nation. The mythology of peacekeeping misrepresents Canadian military conflicts and ignores that, in spite of the characterization of peacekeepers as nonviolent and unbiased actors, the majority of them were first and foremost Canadian soldiers, many of whom veterans of World War II. For the soldiers who came of age on the battlefields of Europe, the role of peacekeeping was a frustrating and politically charged experience, whereby they held no power and they felt they made very little positive impact. Despite the virtually universal glorification and celebration of peacekeepers in recent years, investigation of the “Cold War Home Front” demonstrates the difficulties faced by Canadian NATO soldiers, U.N. peacekeepers and their families in a society that wanted to move beyond the years of struggle, pain and sacrifice in war time and had little sympathy for the men and women who ‘chose’ to leave their families to serve in wars their nation was not fighting.

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)0.002
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: Empirical
Teacher disagreement score0.094
Threshold uncertainty score0.683

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0480.007
Scholarly communication0.0070.003
Open science0.0020.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0080.000

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 head0.069
GPT teacher head0.341
Teacher spread0.272 · 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
Published2018
Admission routes2
Has abstractyes

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