Bibliographic record
Abstract
Dear friends, In June we moved to open editorial software that is hosted by Ljubljana University. We are still adapting to this new address and the new way of work. We apologise for any inconvenience that this move has created and hope to get everything running smoothly by the end of this year. Please note that our new address is https://journals.uni-lj.si/sgj There has been news from the Web of Science recently: our journal has been evaluated in the Journal Citations Reports. The full report is available at the end of the Journal. As far as we understand it, a report in the JCR is the first step towards calculating the impact factor of a journal. Our results are not spectacular, we will be placed in the 4th quarter (Q4), but to be placed alone is a huge success on its own. Perhaps our articles are like wine, the older they are the more citations they gain. By the way, in SCOPUS by SNIP we are in the third quarter, very close to the second. We are still experiencing problems with reviewers, as unfortunately many have no time. Allow me to appeal to you to please help out! We are running a very specialised journal and have access to only limited numbers of researchers. Let us all make an effort to be part of the prominent scientific community on the Web of Science and in SCOPUS! This issue is mostly dedicated to rhythmic gymnastics with six articles focusing on it. The rest are articles on artistic gymnastics and physical education. Authors are again from all around the world: Tunisia, Oman, United Kingdom, Ukraine, Bulgaria, Brazil, Czechia, Turkey, Croatia, USA and Greece. The first World Championship in parkour in Japan was historic. It would be great to have a paper on this new gymnastics sport discipline. Anton Gajdoš prepared his 25rd short historical note introducing Shigeru Kasamatsu from Japan. Just to remind you, if you cite the journal, its abbreviation in the Web of Knowledge is SCI GYMN J. I wish you enjoyable reading and many new ideas for research projects and articles.
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 | 0.005 | 0.043 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.225 | 0.164 |
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".