System performance patterns of the individual dynamics of competitive action athletes in team sports
Bibliographic record
Abstract
SYSTEM PERFORMANCE PATTERNS OF THE INDIVIDUAL DYNAMICS OF COMPETITIVE ACTION ATHLETES IN TEAM SPORTS Authors Kozina Zh.L. zhaks_k@mail.ru Kharkov National Pedagogical University Artema str. 29, Kharkov, 61002, Ukraine Jagiello Wladyslaw. wjagiello1@wp.pl Academy of Physical Education and Sport ul. Kazimierza Gorskiego 1, PL-80-336 Gdansk, Poland Jagiello Marina. wjagiello1@wp.pl Academy of Physical Education and Sport ul. Kazimierza Gorskiego 1, PL-80-336 Gdansk, Poland Abstract The purpose was to disclose methodological foundations and experimental validation patterns of the individual dynamics of competitive performance of skilled athletes in team sports. The study involved 12 men's basketball players in the team of Super League of Ukraine "Polytechnic", 3 of which candidate master, 9 masters of sports and 23 women's basketball team player first league "BC-HAI", including 4 master of sports, nine candidates Master of Sport, 8 athletes 1st grade. It is shown that the impact of individual dynamics play a fair representation of quadratic, cubic and sinusoidal functions. In a sinusoidal function oscillation period in basketball is 25-30 days (periods of physical and emotional biorhythm period and ovarian-menstrual cycle), and at basketball - 31-38 days (periods of intellectual and intuitive biorhythms). The data obtained can be used to improve the management of competitive activity and the training process. Key words game; basketball; dynamic; individualized; competitive efficiency; References Dikij B.V., Il'ko A.V. Naukovij visnik Uzhgorods'kogo universitetu [Scientific announcer of the Uzhgorod University], 2001, vol.16, pp. 107-112. Iermakov S.S. Naukovi praci Nacional'noyi biblioteki Ukrayini im. V.I.Vernads'kogo [The Vernadsky National Library of Ukraine], 2002, vol.8, pp. 272-280. Kozina Zh.L. Pedagogika, psihologia ta mediko-biologicni problemi fizicnogo vihovanna i sportu [Pedagogics, psychology, medical-biological problems of physical training and sports], 2005, vol.20, pp.34-42. Kozina Zh.L. Fizichna kul'tura, sport ta zdorov'ia naciyi [Physical culture, sport and health of nation], 2011, T.2, vol.12, pp. 127-133. Shaposhnikova V.I. Teoriia i praktika fizicheskoj kul'tury [Theory and practice of physical culture], 2002, vol.3, pp.34-36. Gina S. Comeau, Anthony G. Church. A comparative analysis of women's sport advocacy groups in Canada and the United States. Journal of Sport & Social Issues, November 2010; vol. 34, 4, pp. 457-474. Mehrdad Hefzollesan, Sohrab Ghalehgir, Naser Behpoor Pedagogika, psihologia ta mediko-biologicni problemi fizicnogo vihovanna i sportu [Pedagogics, psychology, medical-biological problems of physical training and sports], 2012, vol.7, pp. 137-141. Reza Andam, Mehr ali Hemmati Nezhad, Kazem Danesh Sani. Pedagogika, psihologia ta mediko-biologicni problemi fizicnogo vihovanna i sportu [Pedagogics, psychology, medical-biological problems of physical training and sports], 2012, vol.7, pp. 142-147. Zamirullah Khan, Zeeshan Haider, Naseem Ahmad, Sartaj Khan. Sports achievement motivation and sports competition anxiety: a relationship study. Journal of Education and Practice. 2011, vol. 2(4), pp. 1-5. Zissis Papanikolaou, Vasilios Voutselas, Kostantinos Mantis, Kostantinos Laparidis. The effects of a psychological skills training program on the cohesion of a men's soccer team. Journal of Education and Practice. 2012, vol. 3(4), pp. 8-20. First page 43 Last page 50 Volume 11 Year 2012 doi: 10.6084/m9.figshare.97357 Title of Journal Pedagogika, psihologia ta mediko-biologicni problemi fizicnogo vihovanna i sportu=PEDAGOGICS, PSYCHOLOGY, MEDICAL-BIOLOGICAL PROBLEMS OF PHYSICAL TRAINING and SPORTS Article PDF, full text Journal HTML, Contents
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".