MétaCan
Menu
Back to cohort
Record W2791248575 · doi:10.3390/economies6010008

The Impact of Fiscal Decentralization on Accountability, Economic Freedom, and Political and Civil Liberties in the Americas

2018· article· en· W2791248575 on OpenAlexaboutno aff
Antonio N. Bojanic

Bibliographic record

VenueEconomies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicLocal Government Finance and Decentralization
Canadian institutionsnot available
Fundersnot available
KeywordsDecentralizationAccountabilityCivil libertiesPoliticsAutonomyPolitical scienceDemocracyEconomicsDevelopment economicsPublic administrationPolitical economyLaw

Abstract

fetched live from OpenAlex

This paper analyzes the impact of fiscal decentralization on accountability, economic freedom, and political and civil liberties in the Americas. The findings indicate that decentralization initially hampers but eventually enhances accountability and political and civil liberties, in line with the hypothesized positive correlation between greater fiscal autonomy and a more inclusive, participatory government. The impact of fiscal decentralization on economic freedom, however, runs counter to expectations. Decentralization seems to initially bolster freedom, but it eventually constrains it, proving that greater accountability and political and civil liberties do not necessarily lead to greater economic freedom. When Canada and the US are excluded and the analysis is done with developing American nations only, the behavioral pattern regarding how fiscal decentralization affects the principal variables intensifies, noting that in developing countries the impact of fiscal decentralization is likely to be more consequential.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.020
GPT teacher head0.321
Teacher spread0.300 · 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 designObservational
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

Citations23
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueEconomiesSame topicLocal Government Finance and DecentralizationFrench-language works237,207