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Record W3130070130 · doi:10.5267/j.ac.2021.2.006

Decentralization of local self-government under the conditions of administrative-territorial reform in Ukraine

2021· article· en· W3130070130 on OpenAlexvenueno aff
Zinoviy Siryk, Nazariy Popadynets, Mykhaylo Pityulych, Olha Chakii, Inna Irtyshcheva, Olena Panukhnyk, Vasyl Hyk, Yana Fedotova, Yuliia Rohozian, Nataliia Lysyak

Bibliographic record

VenueAccounting · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Issues in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsDecentralizationSubsidiarityLocal governmentGovernment (linguistics)State (computer science)OmnipresenceCentralized governmentCentral governmentEconomic systemBusinessPublic administrationPolitical sciencePoliticsEconomic policyEconomicsEuropean union

Abstract

fetched live from OpenAlex

The essence of administrative and territorial reform and decentralization reform in Ukraine is to move away from a centralized model of government in the state, ensure the ability of local self-government and build an effective system of territorial power organization in Ukraine based on the principles of subsidiarity, omnipresence and financial self-sufficiency of local self-government. The purpose of the article is to identify areas for improving the effectiveness of the administrative-territorial reform in Ukraine based on assessing the results of its financial decentralization component. Peculiarities of changing the territorial basis of local self-government in Ukraine investigate the necessity of moving from a voluntary amalgamation of territorial communities to the stage of their formation according to clearly defined criteria and providing opportunities for the development of such communities in the future. It focuses on the need to consolidate areas and change the system of interaction of the subregional level with the amalgamated territorial communities at a basic 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 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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.266
Teacher spread0.234 · 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

Citations35
Published2021
Admission routes1
Has abstractyes

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