THE PHENOMENON OF THE ANIME “ONE PIECE”: THE DEVELOPMENT OF TECHNOLOGY IN JAPANESE ANIMATION IN THE FIRST QUARTER OF THE XXI CENTURY
Bibliographic record
Abstract
Целью работы является изучение технологической эволюции японской анимации в первой четверти XXI в. Аниме One Piece выступает наилучшим частным примером в рамках заданной темы, так как выпускается в строго обозначенный период времени, не теряя своей актуальности у потребителя на мировом рынке. В результате исследования были рассмотрены вопросы развития методов, приемов и технологий японской анимации и их роль в производстве, востребованности у аудитории и коммерческой выгоды в контексте одного продукта — аниме One Piece. The aim of the article is to study the technological evolution of Japanese animation in the first quarter of the XXI century. The anime “One Piece” is the best example within the framework of a given topic, since it is released in this period of time, without losing its relevance to the consumer in the global market. As a result of the research, the issues of the development of methods, techniques and technologies of Japanese animation and their role in the production and demand among the audience and commercial benefits in the context of one product — the anime “One Piece” — were considered.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".