MétaCan
Menu
Back to cohort
Record W3125599017 · doi:10.5539/jpl.v13n4p28

Current State and Prospects of Legal Support for Public Procurement in Ukraine: Monitoring of Compliance with International Agreements

2020· article· en· W3125599017 on OpenAlexvenueno aff
Viktoriia Holubieva

Bibliographic record

VenueJournal of Politics and Law · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Issues in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsProcurementLegislationUkrainianBusinessGovernment procurementGovernment (linguistics)International lawIncentiveInternational tradePublic administrationAccountingEconomic policyPolitical scienceEconomicsMarket economyLawMarketing

Abstract

fetched live from OpenAlex

In the current geopolitical and economic relations between the states, in particular the relations with the participation of Ukraine, the availability of an effective and efficient mechanism for the implementation of government procurement becomes important, which is also guaranteed by international and national legal regulation. The purpose of the study is to characterize the System of national legal regulation of public procurement of Ukraine, to determine the features of the impact of international law on the Ukrainian procurement system, as well as ways to improve it. The results showed that the legal regulation of government procurement on the territory of Ukraine is undergoing significant changes, in connection with the harmonisation of legislation to international (worldwide and regional) standards, this stipulates the adoption of a large number of regulatory acts. The study proved that the majority part of the WTO GPA and Association Agreement provisions in the field of government procurement has already been implemented or is being implemented by Ukraine. Indeed, taking into account the access to the EU market obtained within the GPA framework, Ukraine has already not so many external incentives for the full compliance with the obligations to harmonize the legislation under the Association Agreement than it was expected at its signing. One cannot forget that the enhancement of Ukraine’s positions on the international stage contributes to performing its own international obligations, especially to the countries and international organizations / integrations, partners, donors and creditors.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.573
Threshold uncertainty score0.277

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.083
GPT teacher head0.295
Teacher spread0.212 · 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 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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Politics and LawSame topicEconomic Issues in UkraineFrench-language works237,207