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Record W2238335641

Carrying the Burden of Peace: The Mohawks, the Canadian forces, and the Oka Crisis

2008· article· en· W2238335641 on OpenAlexvenueaboutno aff
P. Whitney Lackenbauer

Bibliographic record

VenueJournal of military and strategic studies · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsScrutinyPolitical scienceGovernment (linguistics)Tragedy (event)Context (archaeology)Order (exchange)National securityPublic administrationPolitical economyLawPublic relationsSociologyHistorySocial scienceBusiness
DOInot available

Abstract

fetched live from OpenAlex

Scholars typically cast the Oka crisis of August-October 1990 as an example of government aggression against Native Warriors valiantly trying to defend their traditional land from development. When a violent clash between the protestors and the Quebec provincial police led to tragedy, the Canadian Forces were called in to manage a complex internal security operation. This article critically analyzes the CF’s involvement during Operation SALON in historical context, and concludes that the military’s professionalism, rooted in rigorous training and strong leadership, helps to explain why and how the CF succeeded in “carrying the burden of peace” and restored order without further loss of life. Furthermore, it recounts how, under intense national and international scrutiny, the military won the “media war” for the hearts and minds of most Canadians through its successful media and communications strategy.

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 score0.112
Threshold uncertainty score0.812

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0360.013
Scholarly communication0.0070.002
Open science0.0010.003
Research integrity0.0020.003
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 head0.043
GPT teacher head0.267
Teacher spread0.224 · 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

Citations17
Published2008
Admission routes2
Has abstractyes

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