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Record W4411613441 · doi:10.1111/capa.70020

National Security During the First AI Revolution: The Case for Transforming Canada's Security Apparatus

2025· article· en· W4411613441 on OpenAlexaboutno aff
Ehsan Jozaghi

Bibliographic record

VenueCanadian Public Administration · 2025
Typearticle
Languageen
FieldComputer Science
TopicCybercrime and Law Enforcement Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLaw enforcementTerrorismNational securityAgency (philosophy)Social mediaBusinessPolitical scienceDemocracyPublic administrationPatriot ActLawSociologyPolitics

Abstract

fetched live from OpenAlex

Abstract The exponential growth of social media, the dark web, cryptocurrency, international cartels, cyber attacks, the collaboration of terrorist organizations, the rise of self‐regulated social media, and the complexities of money laundering are threats to Canadian democracy, the economy, and the rule of law. The global threat environment in an increasingly interconnected world indicates that Canadian security will be increasingly determined and shaped outside its borders via international events. Therefore, this administrative policy article argues that the lack of a spy agency solely responsible for foreign missions puts Canadians at risk at home and abroad. Moreover, the transition of the RCMP from contract policing into a federal police force dedicated only to national security and federal law enforcement, like the FBI in the US, is recommended. Finally, the creation of Canada's new protective service, rapid federal national security police force, and North American Rapid Law and Border Enforcement is urgently needed.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.949
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.250
Teacher spread0.237 · 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

Citations7
Published2025
Admission routes1
Has abstractyes

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