ANALYSIS OF RUSSIAN AND FOREIGN PROGRAMS TO SUPPORT THE SOCIAL ADAPTATION AND PROFESSIONAL DEVELOPMENT OF ATHLETES AT THE END OF THEIR CAREERS
Bibliographic record
Abstract
Since 2005, the International Olympic Committee, in collaboration with Adecco, one of the world’s leading human resource management companies, has been providing support to the world’s leading athletes in the field of education, professional development and employment through the Athlete’s Career Program (IOC Athlete’s Career Program). This area has been developed internationally under the auspices of the IOC and operates with the support of national Olympic Committees in more than 30 countries around the world. Currently, in most countries of the world, including the Russian Federation, as well as in certain regions, similar programs have been adopted, the analysis of which is necessary to determine the guidelines for the work of modern sports universities with students who are at the stage of completing a sports career. Purpose. Goal. To carry out a review and analysis of the most effective Russian and foreign support for the social adaptation and professional development of athletes at the end of their careers. Methods and methods. The method of theoretical analysis and generalization is used. Scientific novelty. The article provides an overview of programs to support social adaptation and professional development of athletes at the end of their careers, implemented in the USA, Norway, France, Canada, and the United Kingdom. These countries are participants in the IOC Athlete Career Program for the education, further training and employment of athletes, as well as for providing support to athletes who have completed their professional sports career. Practical significance. The result of the research presented in the article is the formulation of recommendations for the development of similar assistance programs for athletes completing their careers in an industrial university.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".