Olympic education as an object of scientific analysis based on international scientometric databases Scopus and Web of Science
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background and Study Aim. Studying the history of the Olympic movement, one can be convinced that the ideals and values that underlie the Olympic Games of Ancient Greece are relevant today. A mandatory requirement for any country hosting the Olympic Games is the introduction of Olympic education. There is a scientific interest in a comprehensive and objective consideration and study of Olympic education, taking into account all the strengths and weaknesses, achievements and problems, weaknesses and shortcomings, which determines the relevance of this study. The purpose of the article is to systematize modern scientific ideas about Olympic education based on an analytical analysis of the resources of the international scientometric databases Scopus and Web of Science. Material and Methods. to systematize modern scientific ideas about Olympic education, 4,435 sources in the scientometric databases Scopus and Web of Science were analyzed. Bibliometric methods of information processing in the context of Olympic education were used. For this, the VOSviewer program, version 1.6.18, was used: the method of keyword analysis and direct citation analysis with the construction of bibliometric maps, visualization of cluster density, weights – citations. Results. As of 21.02.2024, 4,435 sources were found in the scientometric databases Scopus and Web of Science for the keyword "olympic education". The most popular categories of publications by quantitative indicator, authors, journals, countries that have the largest number of publications on the studied problem of Olympic education were determined. The largest cluster of keywords in the scientometric database Scopus is "education", and in Web of Science - the cluster "Olympic games". The constructed bibliometric maps made it possible to systematize modern scientific ideas about Olympic education and determine the most popular areas of research in the study of the problem under study: features of Olympic education programs in individual countries of the world; Olympic education of schoolchildren and students; educational potential of Olympic education; Olympic education management and marketing strategies; legacy of Olympic education. Conclusions. A fairly large number of works devoted to Olympic education have been identified. The largest number of works on scientometric bases relate to the following research areas: Sport Sciences, Social Sciences, Health Professions, Arts and Humanities, Business, Management and Accounting, Education Educational Research and other subject area. Most of the authors represent countries such as the USA, England, China, Canada, Spain, Australia, Germany, Portugal, Brazil and Japan. The conducted analysis allowed us to provide a comprehensive analysis of the problem and identify a number of unresolved scientific issues in Olympic education: search for new approaches to the development, implementation and evaluation of Olympic education programs; development of effective strategies for the implementation of Olympic education; search for innovations and technologies in the field of Olympic education; study of modern media tools for the development of the Olympic movement as a whole, etc.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.014 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it