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Record W1775494141

The Forgotten Front of the Oka Crisis: Operation Feather/Akwesasne

2009· article· en· W1775494141 on OpenAlexvenueaboutno aff
Timothy C. Winegard

Bibliographic record

VenueJournal of military and strategic studies · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary History and Strategy
Canadian institutionsnot available
Fundersnot available
KeywordsSoftware deploymentFront (military)Context (archaeology)HistoriographyVariety (cybernetics)SalonPolitical scienceHistoryGeographyLawEngineeringArchaeologyMeteorologyComputer science
DOInot available

Abstract

fetched live from OpenAlex

The Oka Crisis is viewed by many as a definitive moment in Native-Canadian relations. However, the deployment of 4,500 personnel of the Canadian Forces (CF) to Kanesatake and Kahnawake during Operation SALON overshadowed the deployment of the CF to Akwesasne over three months earlier under Operation FEATHER/AKWESASNE. Using a variety of sources, the majority of which were secured through the Access to Information Act, and personal interviews, this article examines not only Operation FEATHER/AKWESASNE itself, but its direct relationship to the events at Kahnawake and Kanesatake during the Oka Crisis while highlighting the differences of Canada’s complex internal security legislations. The CF operation at Akwesasne, lasting seven months (1 May to 5 December 1990), has been wholly neglected by scholars in its own context but also in the historiography of the “Indian Summer” of 1990. It is the forgotten front of the Oka Crisis.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
Threshold uncertainty score0.237

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0210.007
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.047
GPT teacher head0.313
Teacher spread0.266 · 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 designQualitative
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
Published2009
Admission routes2
Has abstractyes

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