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Record W2158839303 · doi:10.1017/s0008423906060240

Deep Federalism: Respecting Community Difference in National Policy

2006· article· en· W2158839303 on OpenAlexaffabout
Christopher Leo

Bibliographic record

VenueCanadian Journal of Political Science · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsFederalismPoliticsPolitical sciencePublic administrationCharterGovernment (linguistics)ImmigrationArgument (complex analysis)Cooperative federalismPolitical economySociologyLaw

Abstract

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Abstract. The literatures of both federalism and urban politics conclude that economic, technological and political changes on a global scale have produced limitations on the capacities of national governments, while enhancing the economic and political importance of urban-centred regions. A practical implication is that cities have become central to the study of federalism. This article attempts a synthesis of what we can learn from the federalism and urban politics literatures about the governance of cities in the twenty-first century. It considers the argument in favour of charter cities, as well as the advocacy of a stronger central government to preserve the social safety net, and concludes that both positions are premised on a traditional, hierarchical view of intergovernmental relations, a view that is out of keeping with the exigencies of a borderless world. Instead, it poses the following question: How can we have policies that are truly national and yet fully take into account the very significant differences among regions and communities? The article draws on recent research on the impact of federal policies regarding homelessness and immigration in Vancouver, Winnipeg and Saint John, as well as other research, to consider whether the federal government is doing the best it can to preserve national standards while respecting community difference. It concludes by defining three policy models that show varying degrees of promise in achieving that objective. Résumé. Les recherches courantes sur le fédéralisme et sur la politique urbaine avancent que les changements économiques, technologiques et politiques qui se produisent à l'échelle mondiale affaiblissent les capacités des gouvernements nationaux tout en renforçant l'importance économique et politique des centres urbains. Il en découle, sur le plan pratique, que les centres urbains sont devenus un sujet essentiel de l'étude du fédéralisme. Le présent article tente de faire une synthèse de ce que les recherches sur le fédéralisme et la politique urbaine peuvent nous enseigner sur la gouvernance des villes au 21 e siècle. Après avoir examiné l'argument en faveur des villes à charte et celui qui préconise un renforcement du gouvernement central pour préserver le filet de sécurité sociale, l'article conclut que les deux arguments sont fondés sur une conception traditionnelle et hiérarchique des relations intergouvernementales, et que cette conception ne répond plus aux exigences d'un monde sans frontières. Puis, il pose la question suivante : comment peut-on formuler des politiques qui soient véritablement nationales et qui, en même temps, tiennent compte des différences importantes entre les régions et les communautés? S'inspirant principalement d'une enquête récente sur le retentissement des politiques fédérales sur les problèmes des sans-abri et de l'immigration à Vancouver, à Winnipeg et à Saint-Jean N.-B., l'article examine dans quelle mesure le gouvernement fédéral s'efforce de sauvegarder des normes nationales tout en respectant les différences régionales. En conclusion, il propose trois modèles politiques qui seraient susceptibles, à des degrés divers, d'atteindre cet objectif.

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)0.004
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.039
GPT teacher head0.335
Teacher spread0.297 · 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 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

Citations46
Published2006
Admission routes2
Has abstractyes

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