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Intergovernmental Innovation and the Administrative State in Canada

2006· article· en· W2136626631 on OpenAlexaffabout
Carolyn Johns, Patricia O’Reilly, Gregory J. Inwood

Bibliographic record

VenueGovernance · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsFederalismPublic administrationState (computer science)Political scienceInstitutional changeEconomic systemRegional scienceEconomicsSociologyPoliticsLaw

Abstract

fetched live from OpenAlex

Canadian federalism has experienced considerable pressure for change and innovation in recent years. There have been calls for more collaborative federalism and demands for public sector reforms consistent with the precepts of New Public Management. This article examines the hypothesis that these pressures might be expected to have resulted in some intergovernmental institutional innovation in the arena of federal–provincial–territorial relations. Using a conceptual distinction between federalism, intergovernmental relations, and intergovernmental management (IGM) as the basis of analyzing institutional innovation at six levels in the Canadian intergovernmental administrative state, the authors find a differentiated impact with more institutional innovation evident at the micro levels of IGM and innovation more constrained at the macro levels of the administrative state by the traditional institutional infrastructure of executive federalism.

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)0.008
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 score0.766
Threshold uncertainty score0.889

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0120.006
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.010
GPT teacher head0.253
Teacher spread0.242 · 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

Citations37
Published2006
Admission routes2
Has abstractyes

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