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Record W2037605300 · doi:10.1080/08865655.2010.9695768

Assessing public confidence in Canada's new approach to border security

2010· article· en· W2037605300 on OpenAlexafffundvenueabout
John Winterdyk, Kelly Sundberg

Bibliographic record

VenueJournal of Borderlands Studies · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsMount Royal University
FundersGovernment of Canada
KeywordsTerrorismNational securityPolitical sciencePoliticsGovernment (linguistics)Agency (philosophy)ImmigrationPublic administrationPolitical economySociologyLaw

Abstract

fetched live from OpenAlex

In response to the terrorist attacks of 9/11 and subsequent global ‘War on Terror’, on December 12th, 2003 Canada consolidated its customs, immigration, and food inspection services into the Canadian Border Services Agency (CBSA). This paper examines how the establishment of the CBSA, along with other North American post‐9/11 security reforms, have impacted Canada. After presenting a historic account of North America's border services, we present the results of a national‐based public survey of Canadians on how post 9–11 reforms have impacted the public's confidence in their governments’ ability to address trans‐border crime and threat of terrorism. Overall, the results show that while Canadians appear undecided about their nation's level of border security, they are not overly confident about the government's ability to address the threat of trans‐border crime and terrorism. Using a peacemaking perspective, we conclude by discussing several key criticisms of recent national security reforms and explore how these reforms are impacting established social, economic, and political freedoms.

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)0.008
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.695

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0100.006
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.050
GPT teacher head0.363
Teacher spread0.313 · 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 designObservational
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

Citations5
Published2010
Admission routes4
Has abstractyes

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