THE NATIONAL ECONOMY MANAGEMENT MODEL IN THE CONTEXT OF GLOBAL EXPERIENCE
Bibliographic record
Abstract
The study of public administration of national economy on the basis of benchmarking in the XXI century provides an opportunity to analyze the algorithm of solution of various problems of economic management in a particular country, to identify the level of their solution in comparison with other countries, to analyze the level of perception and implementation of their experience in Ukraine. The experience of other countries should be interpreted on the basis of its thoughtful consideration, taking into account the national interests of Ukraine, the peculiarities of its development. The article briefly systematizes the features of liberal, dirigiste, Japanese, social-democratic, centralized and decentralized models of economic management. The article reveals in more detail the model of economic dirigisme by the example of France, the Chinese model based on economic nationalism, the model of centralized economic management by the example of South Korea and the model of decentralized economic management by the example of Canada. As a result of the study, it is substantiated that the choice of the dirigiste model of economic management in France is due to the high share of the public sector in the country. The institutions of public sector management are extremely important components of the systems of state regulation of the economy. The main regulators of state management of the economy in France are: prices, the tax system, state support for small business and accelerated depreciation. The article also focuses our attention on the experience of economic management in China. Based on the national interest of the country, over 30 years China has created a model of development combining the advantages of planning, private initiative and competitive market, and has become a leading global economy and political force. Innovations in social management corresponded to the national and socio-economic specificity, the implementation was carried out as a smooth transition from outdated traditional ways of management to new ones. China has taught the world a brilliant lesson in innovation strategy. In the economic development of South Korea, the centralized management based on five-year political plans, which transformed the country from a backward agrarian country into a modern economy, competitive both in the domestic and in the world market, plays the main role. The generalization of the experience of relations between the center and the regions is considered on the example of Canada.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".