MétaCan
Menu
Back to cohort
Record W7118622417 · doi:10.1515/cat-2025-0035

(Mis)Reading the Room: When the United States Government Investigated Comic Books as a Gateway to Juvenile Delinquency

2025· article· en· W7118622417 on OpenAlexaboutno aff
Neha Yadav

Bibliographic record

VenueCulture as Text · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsComicsNewspaperEntertainmentReading (process)Government (linguistics)GrassrootsComic stripCartoonistParliament

Abstract

fetched live from OpenAlex

Abstract The comic book industry in the United States of America, a juggernaut for two decades since its inception, found itself crumbling in the latter half of the 1950s. Comics historian David Hajdu notes that between 1954 and 1956, more than half the comic books on the newsstands disappeared and the number of titles published dropped from 650 to 250. What happened in the intervening period? A Congressional committee hearing on the relationship between entertainment and horror comics and juvenile delinquency. The transcript of the 1954 US Congressional Committee hearings consists of testimonials from child psychiatrists, newspaper editors, newspaper vendors, comic book publishers and distributors, and even a Member of Parliament from Canada; a repository of relevant editorials and news articles about comic books and their impact on children and teens from the preceding years; studies and comics surveys commissioned by various civic groups. My paper performs a close reading of the 1954 transcript as an archive of contemporary attitudes towards the comic book as a cultural object during a particularly fractious decade. My analysis of the transcript shows how the comic book almost became a Rorschach test for differing vested interests and came to reflect fears and anxieties associated with intersecting strands of emergent phenomena: McCarthyism and cultural censorship; the post-war economic boom; the appearance of teenagers as a distinct demographic category with an attendant teen culture, massive technological advancement within mass media; and accompanying debates around the suitability, advantages, and dangers of said media. The desire for near-absolute control over the content and circulation of comic books, I argue, arose not from a cultural affinity for censorship but out of pervasive paternalistic attitudes towards children’s literature. The hearings exemplify one of the most decisive and influential acts of governmental intervention vis-à-vis national reading habits, setting the context within which comic books are discussed to this day.

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)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.252

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0190.008
Scholarly communication0.0090.004
Open science0.0010.004
Research integrity0.0050.010
Insufficient payload (model declined to judge)0.0090.001

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 head0.015
GPT teacher head0.245
Teacher spread0.230 · 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 designQualitative
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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueCulture as TextSame topicThemes in Literature AnalysisFrench-language works237,207