ROMANIA AND THE ROMANIAN ATHLETES AT THE SUMMER OLYMPIC GAMES
Bibliographic record
Abstract
The Olympic Games represent the concrete manifestation of the Olympism ideology, but also the greatest sports event in the world. The purpose of this paper is to present the evolution of Romania in The Summer Olympic Games. We also wish to highlight the most productive or effective period of the Romanian sport in these games, which event earned the most medals and what athlete has the best record. Of the 28 editions of the modern Olympic Games organized from 1896 to the present day, Romania participated to 20, which accounts for 71.43% attendance percentage. The only edition where the Romanian athletes failed to gain any medals was the 1928 Olympic Games of Amsterdam (the Netherlands).Overall, Romania has managed to obtain 301 medals in The Summer Olympic Games, of which 89 gold medals, 95 silver medals and 122 bronze medals. The most productive period recorded by Romania in The Summer Olympic Games was between 1972 and 1988, when our country obtained half of the medals obtained throughout all the Olympic Games combined, namely in five editions of the aforementioned event, 145 medals were gained, accounting for 47.38%. Gymnastics is the sports branch with the most medals in The Summer Olympic Games, 72 medals, almost a quarter of the entire number of medals, (23.92%). Gymnastics has also provided the best Romanian athlete, Nadia COMĂNECI, who earned nine medals for Romania.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".