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Record W745064748 · doi:10.60082/2817-5069.1411

Keeping Up with the Neighbours: Canadian Responses to 9/11 in Historical and Comparative Context

2003· article· en· W745064748 on OpenAlexvenueaboutno aff
Reg Whitaker

Bibliographic record

VenueOsgoode Hall law journal · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary and Defense Studies
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)SovereigntyTerrorismCold warPolitical scienceKingdomUnintended consequencesRelation (database)Economic historyPolitical economyLawHistorySociologyArchaeologyPolitics

Abstract

fetched live from OpenAlex

The impact of 9/11 on Canada is assessed in historical context, in relation to the coming of the Cold War in the 1940s and the October 1970 Le Front de Liberation du Quebec terrorist crisis in Quebec. Canadian policy responses to 9/11 are then considered in the comparative context of responses from Canada's closest neighbours, the United States and the United Kingdom. Although to some degree, Canada can be seen to be trying to 'keep up with the neighbours', Canadian responses are more determined by specifically Canadian requirements, especially the need to protect Canadian sovereignty and economic security from the unintended consequences of American actions.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.164
Threshold uncertainty score0.969

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.008
Science and technology studies0.0310.009
Scholarly communication0.0070.002
Open science0.0020.003
Research integrity0.0020.003
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 head0.068
GPT teacher head0.298
Teacher spread0.230 · 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

Citations19
Published2003
Admission routes2
Has abstractyes

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