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Record W4235660074 · doi:10.5089/9781513521015.002

Ukraine

2019· article· en· W4235660074 on OpenAlexfundno aff

Bibliographic record

VenueIMF Staff Country Reports · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Issues in Ukraine
Canadian institutionsnot available
FundersKing Saud UniversityEuropean CommissionGovernment of CanadaMinistero dello Sviluppo EconomicoWorld Bank Group
KeywordsDecentralizationDevolution (biology)Fiscal spaceRevenueEconomic policyEconomicsCapital expenditureGovernment (linguistics)Public financeFiscal policyFinanceMarket economyGeographyMonetary economicsMacroeconomics

Abstract

fetched live from OpenAlex

This Technical Assistance paper on Ukraine reviews the results of the 2015 fiscal decentralization reform and the amendments to the Budget Code for implementation of certain Public Financial Management reforms. Several design issues are slowing the process of voluntary amalgamation of territorial communities and will lead to a proliferation of small units, with low potential for financial self-sufficiency. Achieving both an overall balance and a vertical fiscal balance, whereby own revenues cover basic expenditure responsibilities and dependence on State grants and subventions is minimized, would require a combination of changes to the revenue-sharing arrangements and expenditure assignments. There is no structured arrangement for ensuring a collaborative and coordinated approach in pursuing broad fiscal objectives and ensuring fiscal sustainability at all levels of government. The authorities should take steps to ensure an active and open dialogue between the different levels on the conduct of fiscal policy.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.928
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.004

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 head0.012
GPT teacher head0.210
Teacher spread0.197 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2019
Admission routes1
Has abstractyes

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