Economic Law and Standardization: A Basis for Avoiding Risks in Business
Bibliographic record
Abstract
Currently, in Ukraine, there is a system of technical regulation as part of the general system of standardization. Technical regulation is defined as a means of state regulation, which, like any legal regulation, is implemented by appropriate legal means. This explains the relevance of this study. This paper investigates the Economic Code of Ukraine, several Ukrainian laws (the Law of Ukraine "On Environmental Audit", the Law of Ukraine "On Standardization", the Law of Ukraine "On Technical Regulations and Conformity Assessment", etc.), and State standards. Technical regulation was also considered as a general category and a legal phenomenon, as a result of which it was noted that the technical regulation adopted in Ukraine for dividing products into food and non-food products is only a matter of supervision over the conformity of goods and the use of conditions for a specific legal act and type of product. It was concluded that standardization proceeds from social regulation and generates norms of a technical, organizational, or other orderly nature, transforming into legal provisions. Therewith, technical regulation also derives from legal regulation and gives rise to technical guidelines, which constitute statutory regulations that form part of the national legislation of Ukraine, including economic legislation. As a result, it is proposed to improve and supplement the wording of Part 2 Article 16 of the Law of Ukraine "On Standardization", and it is also proposed to reword Article 24 of the Law of Ukraine "On Technical Regulations and Conformity Assessment". Keywords: Technical regulation, laws of Ukraine, state standards, ISO, regulations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.020 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.007 | 0.058 |
| Scholarly communication | 0.015 | 0.016 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".