Bibliographic record
Abstract
The urgency of the research topic is due to the need for rapid response of regions to changing environmental processes in the context of the spread of digitalization and active introduction of innovative technologies. It has been determined that in the modern market economy project management becomes a necessary factor in ensuring the competitive advantage of many regions. The purpose of the article is to substantiate the need for a project approach to the management of economic development of territories. Based on the use of methods of analysis, synthesis, scientific abstraction and logical generalization, trends in the evolutionary development of project management have been identified. It has been substantiated that project management forms advantages and unique competencies that are necessary for highly efficient and successful functioning of territories in a competitive market environment, in the realities Науковий вісник Мукачівського державного університету, 2020 140 of the new economic situation, which is characterized by significant speeds and dynamics of change in certain areas. It has been proved that one of the new alternative directions in the development of project management is flexible project management. It is determined that at the level of regional management the project approach can be used both for the implementation of individual projects and in the implementation of targeted programs. It has been proved that an integral part of the successful implementation of regional projects is the formation of a system of training methods and tools of project management. The foreign experience of project management application at the regional level has been analyzed and three key models have been revealed: american, european, canadian. The key principles of using the project approach to the management of economic development of territories have been identified, namely: systemicity, integration, balance, dynamism, decomposition, competence. The practical significance lies in identifying the features of the project approach to regional development management, which must be taken into account: openness and publicity of regional projects; increased control over the targeted use of local budget funds for regional projects; the complexity of assessing the effectiveness of the regional project; difficulties in setting priorities and differentiating regional projects. Key words: economic development, project management, regional development, flexible management methods, regional projects, project approach
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".