The impact of educational development on the countries’ competitiveness in the knowledge economy
Why this work is in the frame
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Bibliographic record
Abstract
Purpose. Development of recommendations for determining the impact of education on the formation of the competitiveness of national economies in the conditions of the knowledge economy using the analysis of existing indicators “measurement of the level of the knowledge economy”, conducting an analytical study and developing, on this basis, an integral indicator of the impact of education on the competitiveness of the countries of the world. Methodology. In the research process, the method of coefficient analysis and such methods as quantitative and graphic analysis, the method of data visualization, and the sociological survey method were used. Findings. The work performed a ranking of countries using the developed indicator, which allows determining the competitiveness of countries in the world in the knowledge economy under the influence of the development of education. The basis of this rating is our own integrated rating coefficient, which is based on world indices, considering the degree of their importance in revealing the level of education and its influence on the process of formation of the knowledge economy. The work outlined directions for further research on the formation of an effective mechanism for the development of education based on the wide implementation of its open component. Originality. It was revealed that there is no single indicator in global practice that would fully determine the competitiveness of the countries of the world in the conditions of the knowledge economy under the influence of education development. A survey was conducted, in which teachers, scientists, educators and public figures from Ukraine, Poland, Germany, Italy, Israel, Great Britain and Canada, a total of 203 people, took part. The results of the survey made it possible to propose our own integrated rating coefficient, based on a set of indicators from four world ratings. Practical value. Research into the aspects of success in creating a knowledge economy by the leading countries, which are identified on the basis of the integrated rating coefficient, will allow us to spread their experience in creating effective educational prerequisites to other countries in the process of ensuring their own development.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it