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Record W6999033557

Canadaâs Peacekeepers Remember

2012· article· en· W6999033557 on OpenAlexaboutno aff

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101HyporeflexiaDiafiltrationLiquationPretext
DOInot available

Abstract

fetched live from OpenAlex

Stopping wars, keeping them from restarting, and observing the implementation of cease-fires—various shades of “peacekeeping”—have always been dangerous work. It has become particularly so over the past decade as peacekeepers increasingly find themselves in high intensity, near-war situations. No longer are belligerents constrained by world power blocs as they were before the end of the Cold War.\nThis is reflected in the list of the 107 Canadian soldiers who have been killed worldwide since 1950 while serving as peacekeepers, including 22 killed since 1992. The Peacekeeping Memorial in Ottawa reflects Canada’s tribute to this sacrifice and the nation’s pride in its soldiers’ contribution to world peace. Too often, however, Canadian peacekeepers feel the courage they display and the sacrifice they make are ignored by the media and forgotten by an uncaring Canadian public. Police officers who have been killed in the line of duty draw extensive media coverage and large, elaborate funerals, but fallen soldiers appear to elicit no such attention. One response of peacekeepers in the field to this perceived indifference has been to create their own memorials to fallen comrades. Over the years, I have visited a number of these locally made memorials, both in the former Republic of Yugoslavia and in the Middle East. This article tells their story.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.906
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.254
Teacher spread0.225 · 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 teacher head, not a consensus.

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
Published2012
Admission routes1
Has abstractyes

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