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Record W2054310628 · doi:10.1080/21504857.2014.908402

Reimagining GDR comics: <i>Kultur</i> , children’s literature and the socialist personality

2014· article· en· W2054310628 on OpenAlexaff
Sean Eedy

Bibliographic record

VenueJournal of Graphic Novels & Comics · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicComics and Graphic Narratives
Canadian institutionsCarleton University
Fundersnot available
KeywordsComicsPersonalityPsychologyPsychoanalysisLiteratureArtSociologyGender studiesVisual arts

Abstract

fetched live from OpenAlex

In 1966, the editor of the East German comic Mosaik submitted a report to the Secretariat of the Central Council of the Free German Youth. This report expressed the need to repackage the comic magazine (Bilderzeitschrift) Atze. As happened throughout the United States and Western Europe, comics in the GDR were criticised as being detrimental to childhood development. Comics represented the worst of western imperialist pulp literature; uncultured and lacking the tools necessary to mobilise youth to the construction of socialism. Through a close analysis of this report and the changes implemented in the pages of Atze, this essay examines the East German regime’s perceptions of children and childhood and how it hoped to awaken political awareness among its youngest citizens. Not only this, but the regime and its youth groups embraced the comic-book medium in a way almost unheard of in the West at the time, folding comics into the burgeoning children’s literature and a distinctly East German children’s Kultur.

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)0.002
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0080.026
Scholarly communication0.0110.005
Open science0.0000.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.010
GPT teacher head0.204
Teacher spread0.194 · 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
GenreOther

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

Citations5
Published2014
Admission routes1
Has abstractyes

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