CULTURAL CODE IN THE FRAMEWORK OF THE OPENING CEREMONIES OF WORLD COMPLEX COMPETITIONS (ON THE EXAMPLE OF THE GAMES OF THE OLYMPIAD, THE OLYMPIC WINTER GAMES, THE WORLD SUMMER AND WINTER UNIVERSIADS)
Bibliographic record
Abstract
The research purpose is to analyze the programs of Opening Ceremonies of world complex sports competitions based on the author's conceptual development of "cultural code in sport", its functions, types, categories (on the example of the Games of the XXIX Olympiad of 2008 in Beijing, the XXI Olympic Winter Games of 2010 in Vancouver, the XXVII World Summer Universiade of 2013 in Kazan, the XXVIII World Winter Universiade of 2017 in Almaty). Research methods and organization. To analyze the programs of the Opening Ceremonies of the ceremonies under consideration, the author's conceptual development of "cultural code in sport", as well as its functions, types and categories were used. A distinctive feature of this study is the selection of events for analysis, namely the Olympic Games (Beijing, China) and the Olympic Winter Games (Vancouver, Canada), the World Summer Universiade (Kazan, Russia) and the World Winter Universiade (Almaty, Kazakhstan), which took place not only in cities around the world, but also on different continents. This allowed conducting a comparative analysis taking into account cultural characteristics and context. Research results and their discussion. Analysis and systematization of the constituent components of the cultural code of the episodes of the artistic part in the program of the Opening Ceremonies of the Games of the XXIX Olympiad of 2008 in Beijing, the XXI Olympic Winter Games of 2010 in Vancouver, the XXVII World Summer Universiade of 2013 in Kazan, the XXVIII World Winter Universiade of 2017 in Almaty were conducted. The results are systematized and presented in tables. The analysis revealed common trends - the use of national symbols, an emphasis on history and values and a desire to reflect a multicultural society. At the same time, differences in the methods of representation were found, due to the cultural context and the goals set. Conclusion. This analysis allowed us to identify the peculiarities in the application of the cultural code in sport within the framework of the Opening Ceremonies under consideration. Despite certain differences in content, but the same features of the content of the cultural code itself, it can be considered as a model that can be used in various types of competitions, regardless of the level and scale, time of year, age and number of participants.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.018 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".