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Record W3209186008 · doi:10.4337/9781839103285.00016

Decentralization and subnational politics in North America

2021· book-chapter· en· W3209186008 on OpenAlexaboutno aff
Raúl Alberto Ponce Rodríguez

Bibliographic record

VenueEdward Elgar Publishing eBooks · 2021
Typebook-chapter
Languageen
FieldSocial Sciences
TopicLocal Government Finance and Decentralization
Canadian institutionsnot available
Fundersnot available
KeywordsDecentralizationPoliticsRevenue sharingRevenueState (computer science)IdeologyLocal governmentDemocracyEconomic policyPolitical scienceTax revenuePolitical economyGovernment (linguistics)EconomicsPublic economicsMarket economyPublic administrationFinance

Abstract

fetched live from OpenAlex

This chapter reviews the relationship between subnational politics and decentralization in the United States, Mexico, and Canada. There is a significant contrast in fiscal and political institutions implemented in these countries: the US is fiscally and politically decentralized with direct democracy provisions that lead to important effects on taxation and spending of subnational governments. In comparison, Mexico is fiscally and politically centralized with a tax revenue sharing accord that creates a significant dependence of states on intergovernmental transfers, and Canada lies as the middle of the road case with decentralized political institutions but with a tax revenue sharing system. Withing these political and fiscal institutions, evidence suggests that electoral competition, parties' preferences over policy, the left and right ideology, and party alignment are important determinants of the size and composition of spending and taxation of subnational governments, the dependence of state and local governments on higher tiers of government, and the responsiveness of local authorities to the demands of residents.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.972
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
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 head0.019
GPT teacher head0.245
Teacher spread0.226 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2021
Admission routes1
Has abstractyes

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