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Record W2331910345 · doi:10.1017/s0143814x14000038

Fiscal federalism and American exceptionalism: why is there no federal equalisation system in the United States?

2014· article· en· W2331910345 on OpenAlexafffundabout
Daniel Béland, André Lecours

Bibliographic record

VenueJournal of Public Policy · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsUniversity of OttawaUniversity of Saskatchewan
FundersSocial Sciences and Humanities Research Council of CanadaCanada Research Chairs
KeywordsExceptionalismFederalismAmerican exceptionalismPoliticsPolitical sciencePolitical economyCitizenshipPublic administrationPolitics of the United StatesEconomicsLaw

Abstract

fetched live from OpenAlex

Abstract This article addresses the absence of a federal equalisation programme in the United States, which is a significant aspect of “American exceptionalism”. Comparing the United States with Australia and Canada, we argue that three factors are relevant when accounting for this absence. On one hand, we turn to two societal factors to explain why there was never much political appetite for the creation of a stand-alone equalisation programme in the United States, namely the lack of a direct threat to the territorial integrity of the United States after 1865 and the comparative weakness of the idea of social citizenship in that country. On the other hand, our analysis shows that key institutional features of American political institutions, particularly strong bicameralism combined with the absence of formal party discipline, help illuminate why it would have been difficult to create an equalisation programme even if there had been some societal pressures to do so.

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)0.004
metaresearch head score (Gemma)0.009
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: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.126

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.006
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.002
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 head0.040
GPT teacher head0.327
Teacher spread0.287 · 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

Citations30
Published2014
Admission routes3
Has abstractyes

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