O Macro Universo do mangá Ataque dos Titãs
Bibliographic record
Abstract
Mangá, Mercado, Convergência O mercado de quadrinhos japoneses -mangá -é de produção brutal e alimenta o negócio com centenas de título para todos os gostos.Dentre estes, muitos conseguem destaque para além das terras nipônicas, alcançando recordes de tiragem e de licenciamento de produtos, no entanto, esses títulos geralmente levavam décadas para estabelecer essa relação.Não foi o caso com Shingeki no Kyoujin, publicado no Brasil como "Ataque dos Titãs" pela editora Panini desde 2013, o mangá de Hajime Isayama, teve sua publicação iniciada em 2009, pela revista mensal para jovens adolescentes, magazine Bessatsu Shonen, da editora Kodansha.Esse artigo explana sobre a narrativa transmídia com a qual a história foi manejada, sendo fragmentada em vários produtos, em suportes midiáticos diferentes, indo além do convencional: quadrinho x animação, fazendo com que a obra alcançasse grande repercussão mundial em menos de cinco anos. Manga, Market, ConvergenceThe market of Japanese comics -manga -is of intense production and feeds the business with hundreds of titles for all tastes.Among these, many achieve distinction beyond Japan, reaching print and product licensing records.However, these titles usually take decades to establish this status.This was not the case of Shingeki no Kyoujin, published in English under the name "Attack on Titan" and by Brazilian publisher Panini since 2013.The manga by Hajime Isayama was first published in 2009 by monthly teen magazine Bessatsu Shonen by Kodansha press.This article clarifies the transmedia narrative in which the story operates through different media supports, going beyond the conventional comics x animation, making the work reach worldwide repercussion in less than five years.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".