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Record W1591112736 · doi:10.1111/capa.12091

Asymmetric decentralization of the administration of public safety in the <scp>C</scp>anadian federal political system

2014· article· en· W1591112736 on OpenAlexaff
Todd Hataley, Christian Leuprecht

Bibliographic record

VenueCanadian Public Administration · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicOmbudsman and Human Rights
Canadian institutionsRoyal Military College of CanadaQueen's University
Fundersnot available
KeywordsDecentralizationSovereigntyPoliticsPublic administrationFederalismCorporate governanceRule of lawGovernment (linguistics)DemocracySeparation of powersAdministration (probate law)Political scienceState (computer science)LawEconomicsManagement

Abstract

fetched live from OpenAlex

Abstract Canada's federal political system has to reconcile differences over the balance between shared rule and self‐rule concerning two bedrock principles of the constitutional government: the rule of law and democratic oversight of the exercise of the power of the state to ensure that it is not usurped. The hallmark of the administration of multilevel security governance in Canada is horizontal and vertical differentiation of diverse territorial and non‐territorial community values, preferences, interests and values has given rise to the asymmetric decentralization. This article maps the historical and constitutional roots, and then draws on examples in a survey of its institutional structure across three levels of government. It concludes by discussing the governance challenges that shared sovereignty and mismatched jurisdictional authorities pose for the effective and efficient provision of public safety in Canada.

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)0.003
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.955
Threshold uncertainty score0.805

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.007
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.027
GPT teacher head0.267
Teacher spread0.240 · 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

Citations4
Published2014
Admission routes1
Has abstractyes

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