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Record W1599493476 · doi:10.24124/c677/2010225

Deconstructing The New Federalism

2010· article· en· W1599493476 on OpenAlexaffvenueabout
James Bickerton

Bibliographic record

VenueCanadian Political Science Review · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsSt. Francis Xavier University
FundersAustralian Government
KeywordsFederalismLegitimacyPoliticsJurisdictionCooperative federalismPolitical scienceDual federalismPublic administrationScope (computer science)Political economyNew FederalismLaw and economicsSociologyLaw

Abstract

fetched live from OpenAlex

The appearance or imminent arrival of a ‘new federalism’ has been a repeated theme in the study of federal-provincial relations in Canada and in the pronouncements of Canadian governments. At the same time, there clearly is a strong path dependency effect that acts as a check or limitation on the scope of change that federal governments can accomplish, leaving Canadian history littered with the corpses of ‘new federalisms’ that have never been realized. While there is much that separates recent scholarly interventions on the new federalism, all recognize the need to restore a greater measure of political legitimacy and functionality in federal-provincial relations by building consensus on rules and norms of behavior. This paper surveys the history of ‘the new federalism’ as a political strategy and program, and analyzes the competing interpretations of the concept that are currently on offer. I conclude that policy challenges looming on the horizon will demand a coordinated and multilevel response from governments, making it likely that whatever new federalism emerges will continue the trend toward shared jurisdiction and policy-making, rather than disentanglement.

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)0.007
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.551
Threshold uncertainty score0.893

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0080.047
Scholarly communication0.0100.007
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.338
Teacher spread0.314 · 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 designTheoretical or conceptual
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

Citations24
Published2010
Admission routes3
Has abstractyes

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