Secret origins: the disavowal of the comics medium within the promotional rhetoric of film trailers
Bibliographic record
Abstract
Abstract Predicated upon a corpus of 4,200 films, this article documents, analyses, and interprets the international film industry’s rhetorical disavowal of the comic book medium as a source for adaptation within advertising and promotional rhetoric for the cinematic adaptation of comic book texts. By analysing the statistical trends and patterns for comic book adaptations between 2000 and 2020, examining the language used within promotional trailers to conceptualise or promote the feature adaptation in relation to their comic book source material, and by comparing the type and scope of this rhetoric with other adapted texts of the same period, this article evidences and interrogates the overwhelming disavowal of the comic book medium despite the persistent and widely perceived ubiquity of comic book adaptation franchises. Above all, this article utilises statistical evidence and analysis to evidence clear patterns and trends within the perceived hierarchies of cultural taste or artistic value.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.003 | 0.010 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.002 |
| 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".