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Record W3108339099 · doi:10.3138/seminar.56.3-4.07

Truth, Justice … and the Austrian Way? Opposing Political Agendas, Duelling Sovereignties, and Austrian Superheroes

2020· article· en· W3108339099 on OpenAlexaffvenue
Paul M. Malone

Bibliographic record

VenueSeminar A Journal of Germanic Studies · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicComics and Graphic Narratives
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsComicsPsychological nativismPoliticsPolitical scienceNationalismSovereigntyState (computer science)LawMedia studiesGermanSociologyLiteratureArtHistory

Abstract

fetched live from OpenAlex

The earliest comic-book superheroes became metonyms of the American nation-state at war; as a result, until recently superhero comics remained unpopular in German-speaking Europe, where their quasi-nationalist aspects and violent methods were reminiscent of fascism. The global success of superhero films, however, has promoted the acceptance of superhero comics and the introduction of homegrown equivalents in Germany and Austria. In the latter, superheroes have become proxies in the conflict between competing visions of national sovereignty. Both the far-right Freiheitliche Partei Österreichs (FPÖ) and the Sozialdemokratische Partei have campaigned using superhero comic books; so too has the non-partisan Österreichische Integrationsfonds. And now a commercial comic, Austrian Superheroes, portrays its heroes as outsiders in the service of a European Union depicted as a guarantor of order, rebuking the FPÖ’s right-wing nativism.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.027
Scholarly communication0.0110.007
Open science0.0000.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.100
GPT teacher head0.285
Teacher spread0.185 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes2
Has abstractyes

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