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Record W7065233170

El finançament dels governs subcentrals en els països federals

2006· article· en· W7065233170 on OpenAlexaboutno aff

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2006
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysical Phenomena and Observations
Canadian institutionsnot available
Fundersnot available
KeywordsSubsidyDecentralizationInflation (cosmology)StatuteAutonomyPower (physics)Regional autonomy
DOInot available

Abstract

fetched live from OpenAlex

The purpose of the article is to describe the main characteristics of the financing of sub-central bodies in federal states. The article focuses chiefly on bodies of an intermediate level, that is, the states that form the federation. The analysis is based on the experience of Germany, Australia, Austria, Canada, Switzerland and the USA. At the same time, the article makes references throughout to the financing of the [Spanish] Autonomous Communities to determine whether this is in line with the sub-central financing of those countries analysed. Finally, it also highlights the manner in which the model of financing in the new Catalan Statute of Autonomy brings us closer to the characteristics of a federal model. The article's analysis proceeds through the assessment of a series of underlying issues: the degree of decentralization in federal states, both with reference to expenses and income from taxation; expense functions by levels of government; income structure in governments of an intermediate level, highlighting the degree of financial dependence; the tributary power and assignation of taxes at a sub-central level; the subsidies of taxation levelling, and finally the political-institutional mechanisms of coordination between the various levels of government.

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)0.003
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 score0.082
Threshold uncertainty score0.164

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.006
GPT teacher head0.224
Teacher spread0.218 · 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

Citations0
Published2006
Admission routes1
Has abstractyes

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Same venueDialnet (Universidad de la Rioja)→Same topicAstrophysical Phenomena and Observations→French-language works237,207→