Bibliographic record
Abstract
Dear friends, We are entering into the eight year of our joint travel through science of gymnastics. We are starting new year with excellent news. Our journal will be now visible also in Web of Science in Core Collection. Web of Science have now new part, which is called ESCI- Emerging Sources Citation Index and it was established last year. We received information of inclusion after we published October issue last year. So our articles are now included into two very important data bases – Scopus and Web of Science. The first four article are from biomechanics and the first article comes from Slovene and Czech authors Maja Bučar Pajek, Petr Hedbávný, Miriam Kalichová and Ivan Čuk. They did simple research by methods, but important by results. Women gymnastics on balance beam significantly influences one sided load, therefore rises bilateral asymetries, which are one of important reasons for ijnuries. The second article is from United States of America, authors Timothy J. Suchomel, William A. Sands and Jeni R. Mcneal are sharing their experience with US male junior national team on their abilities measured on tensiometric plate. As their subjects are one of the best in the world it is worth to take their results to compare with your juniors. The third article is from combined France and Canadian team of researchers Aurore Huchez, Diane Haering, Patrice Holvoet, Franck Barbier, Mickael Begon, thir article is about women artistic gymnastics, uneven bars, transition from low to high bar. Comparision between low and high level of gymnasts give coaches clear guideline where to direct their attention. The fourth article is from Serbian and Slovene contributors Saša Veličković, Miloš Paunović, Dejan Madić, Vladan Vukašinović, Edvard Kolar, with similar idea as previous article, to focus coaches on their gymnasts when perform basket to handstand on parallel bars. The fith article is from Spain researchers María Alejandra Ávalos Ramos, María Ángeles Martínez Ruiz, Gladys Merma Molina and thir resarch is valuable for all us teachers who do teach students about gymnastics, the most important guide to us is we should focus to real conditions which are in classes in primary and secondary schools. The sixth article is from a huge Brazilian and Portugal team (consisted of 10 members) and they give us information about general gymnastics, more specific we get insight on how Pan American Gymnastics Union members contribute to the World Gymnaestrada. The last article is also combined with researchers from two countries, Spain and Portugal. Catarina Leandro, Lurdes Ávila-Carvalho, Elena Sierra-Palmeiro, Marta Bobo-Arce prepared analyse of technical content of elite rhytmic gymnastics. It is worth to notice, their analysis would be benefitial to FIG RGTC to improve their rules. Anton Gajdoš in Short Historical Notes V prepared a memo about the team representing Finland in 1948, including Akimoto Kaneko and Helena Rakoczy. New content in journal is list of reviewers, who helped us last year with their knowledge. Just to remind you, if you quote the Journal: its abbreviation on the Web of Knowledge is SCI GYMNASTICS J. I wish you pleasant reading and a lot of inspiration for new research projects and articles. Ivan Čuk, Editor-in-Chief
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.026 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.164 | 0.102 |
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".