When an energy drink exalts a table tennis hero: Brand placement and subvertising in the manga<i>Ping-Pong Dash!!</i>by Honda Shingo
Bibliographic record
Abstract
While comic books have today become a commonplace subject of study that no longer requires justification, the issue of sports representation in the ninth art remains a relatively new one. In the case of a table tennis-themed manga, in particular, mirrored through the brand placement of an energy drink, Max Coffee, this paper studies the emerging mechanism which combines representation of a sports spectacle (table tennis) with the fictional construction of a modern sporting hero (Tendô Haruku), an in-vogue media-friendly story (manga) and a potential consumer target group (teen readers). By matching the values of the energy drink with the canons of heroic stories in terms of a sequential narrative, embedded episodes and plot twists, the cartoonist, Honda Shingo, creates a new-generation hero with rather uninhibited virility and an offbeat, romantic sense of humor, together with the self-assumed immoderation of contemporary sport.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.003 |
| 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".