Research methodical bases of efficiency of the innovative legislation
Bibliographic record
Abstract
Problem setting. Recently in our country the tendency to introduction of innovative activity in domestic economy has become widespread. This focus is provided by many means. Among them, not the least role belongs to the reliability and effectiveness of legislation. Therefore, both the state strategy and the relevant branch of legislation have already begun to be drafted in order to standardize and speed up the whole process. Analysis of resent researches and publications. This article is a partial continuation of the series of works on the place of business law in the strategy of ensuring innovation in Ukraine and areas for improving innovation legislation. In general, the question of the effectiveness of innovation legislation in Ukraine has been raised by various scientists, for example, Yu. E. Atamanova, O. M. Vinnyk, S. V. Glibko, D. V. Zadykhailo, V. S. Shcherbyna and others. However, methodological principles were given more importance in broad areas, such as N. S. Kuznetsova in civil law, and in the context chosen in the article, little attention was paid. Target of research. The aim of the article is to study the methodological principles of the effectiveness of innovation legislation. Article’s main body. Legislative efficiency methods need to be given the same weight as existing methods for determining the economic efficiency of capital investments, new equipment and automated management systems. In this case, it is necessary to constantly keep in mind both past experience and care for the acquisition of new knowledge. The analysis of the actual effectiveness of the legislation can be carried out in three directions. First, the object of study may be the effectiveness of the internal structure of the system of economic legislation. Obviously, this efficiency can reflect the degree of compliance of the existing structure with the goals of the whole system. Secondly, there is a need to study the effectiveness of the legal system. It is solved by establishing the degree of achievement of the goals of the legal system during its implementation in real conditions. Third, it is necessary to determine the effectiveness of sets of rules of a particular system of legislation (its subsystems or individual rules (elements of the system). This implies that in general the system may have inefficient subsystems and elements, and vice versa – efficient subsystems and elements may be part of an inefficient system. Conclusions and prospects for the development. In the context of studying the problems of the effectiveness of legislation, various new opportunities can be used, which appear in foreign countries and already bring some benefits there. A good example is the Better Regulation Delivery Office (BRDO), an independent non-governmental think tank established at the initiative of the Department of Economic Development and Trade and Western partners: the World Bank and the Government of Canada. The main thing is that BRDO is working to simplify the business environment and effective government regulation. In the near future we can expect a successful solution to the problems of efficiency of innovation and through the introduction of digital technologies.
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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 | 0.044 | 0.101 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.002 | 0.013 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".