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Record W2945974454 · doi:10.24908/iqurcp.11540

For Girls: The Sexual Politics of Girls’ Comics in Post-War Britain

2018· article· en· W2945974454 on OpenAlexvenueno aff
Tegwyn Hughes

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicComics and Graphic Narratives
Canadian institutionsnot available
Fundersnot available
KeywordsComicsAdventurePoliticsGender studiesRace (biology)Variety (cybernetics)SociologyFace (sociological concept)HistoryMedia studiesLiteraturePolitical scienceSocial scienceArtLawArt history

Abstract

fetched live from OpenAlex

This paper will investigate girls’ comics in late 20th century Britain to illuminate the experiences of the adolescent post-war generation. My research focuses on girls’ comics, specifically Bunty, Mandy, and Judy, which were read widely throughout the country. The illustrated stories in these publications typically portrayed teenage girls as the protagonists in a variety of situations and adventures. By using the primary source documents of the comics as the main basis for my research, I explore the following questions: to what extent did the comics reflect the changing assumptions about gender and gender expectations in British society from the 1950s to 1970s? Did girls feel empowered by the stories they read, or did they feel like they had to conform to a certain ideal of womanhood produced by gender norms? How were these ideals configured by race, especially by Caribbean migration in post-war Britain? By examining this small portion of British popular culture and its reception, I will gain a wider understanding of fluid and dynamic ideas about gender in these crucial decades of the late 20th century.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.183
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.150
GPT teacher head0.369
Teacher spread0.218 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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
Published2018
Admission routes1
Has abstractyes

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