Captain America and the Nationalist Superhero: Metaphors, Narratives, and Geopolitics
Bibliographic record
Abstract
Nationalist superheroes-such as Captain America, Captain Canuck, and Union Jack-often signify the "nation-state" for readers, but how do these characters and comic books address issues of multiculturalism and geopolitical order? In his engaging book Captain America and the Nationalist Superhero, geographer Jason Dittmer traces the evolution of the comic book genre as it adapted to new national audiences. He argues that these iconic superheroes contribute to our contemporary understandings of national identity, the righteous use of power, and the role of the United States, Canada, and Britain in the world. Tracing the nationalist superhero genre from its World War II origins to contemporary manifestations throughout the world, Captain America and the Nationalist Superhero analyzes nearly one thousand comic books and audience responses to those books. Dittmer also interviews key comic book writers from Stan Lee and J. M. DeMatteis to Steve Englehart and Paul Cornell. At a time when popular culture is saturated with superheroes and their exploits, Captain America and the Nationalist Superhero highlights the unique relationship between popular culture and international relations. Copyright © 2013 by Temple University. All rights reserved.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.022 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".