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Сoncept of the draft normative-legal acts in the mechanism of legislation: experience of foreign countries

2025· article· en· W4408573393 on OpenAlexaboutno aff
A. R. Sachko

Bibliographic record

VenueUzhhorod National University Herald Series Law · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean and International Law Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationNormativeMechanism (biology)LawLaw and economicsPolitical scienceBusinessSociologyPhilosophyEpistemology

Abstract

fetched live from OpenAlex

In the article, the author focuses on the practice of applying acts - concepts in certain foreign countries - Poland, France, Canada, Japan. It is noted that the relevance of the topic of this scientific work is due to the peculiarities of the current stage of development of the legal system in Ukraine. Socio-economic conditions are changing, and therefore, there is a need to update or create new regulatory legal acts to regulate new aspects of social relations. Scientific research of the concepts of drafts of such acts helps to understand how to adapt the legal system to modern challenges. In addition, from a practical point of view, the relevance of the application of conceptual legal acts is associated with the need to increase the efficiency of lawmaking practice. Scientific research can contribute to the optimization of the process of developing regulatory legal acts, in particular by improving the mechanisms of their adoption, analysis and adaptation to specific conditions. This allows creating more accurate and effective laws that meet the real needs of society. It is concluded that conceptual acts affect the mechanism of lawmaking in each country differently, but it is generalized that such an influence occurs within the framework of a) adaptation of legislation to international norms and/or international This situation is currently also present in Ukraine; b) involvement of society in lawmaking in the state. The extent to which direct communication is built between the state and citizens, how easily they can initiate the creation of certain norms and provisions depends on what concept of lawmaking the state supports; c) implementation of the adopted Analysis of the experience of using acts - concepts in the mechanism of lawmaking of foreign countries allowed at the end of the work to substantiate the prospects for the application of such acts in the practice of lawmaking in Ukraine.

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)0.013
metaresearch head score (Gemma)0.013
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.017
Scholarly communication0.0100.006
Open science0.0010.005
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.015
GPT teacher head0.258
Teacher spread0.243 · 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
Published2025
Admission routes1
Has abstractyes

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