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Record W2826093047

Basic Models of Tax Federalism in Global Practice: Specific Characteristics and Structural and Functional Organization

2018· article· en· W2826093047 on OpenAlexaboutno aff
Magomed Magomedovich Suleymanov, Ramazan Magomedovich Magomedov, Svetlana Vladimirovna Savina, Tatyana Leonidovna Fomicheva

Bibliographic record

VenueAcademy of Accounting and Financial Studies journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicLocal Government Finance and Decentralization
Canadian institutionsnot available
Fundersnot available
KeywordsTax policyFederalismPublic economicsFiscal federalismHierarchyEconomicsRevenueState (computer science)Tax revenuePopulationGovernment (linguistics)Tax reformBusinessInternational economicsPolitical scienceDecentralizationAccountingMarket economyComputer science
DOInot available

Abstract

fetched live from OpenAlex

Federated states are characterized by a complex government hierarchy. The same situation is with their tax policy, which is characterized by a multi-level form of fiscal revenues, which varies in different countries. In this regard, the purpose of this article is to consider what factors affect their tax policy. This research is based on a system approach to the process of studying the tax policy, as well as on structural and functional analysis methods. The tax system of federated states was considered in the case of Germany, the United States, Canada and other countries. The Results section reveals the peculiarities of tax systems existing in the federated states, as well as the factors affecting them, such as the state size, population and centralization level.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.190
Threshold uncertainty score0.427

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.031
GPT teacher head0.305
Teacher spread0.274 · 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.

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

Citations5
Published2018
Admission routes1
Has abstractyes

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