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Record W2337117628 · doi:10.1177/1367549415603376

Resistance through realism: Youth subculture films in 1970s (and 1980s) Britain

2015· article· en· W2337117628 on OpenAlexaff
Nathaniel Weiner

Bibliographic record

VenueEuropean Journal of Cultural Studies · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsYork University
Fundersnot available
KeywordsSubculture (biology)ScholarshipCultural studiesSociologyPeriod (music)RealismSocial realismMedia studiesGender studiesResistance (ecology)AestheticsAnthropologyArtPolitical scienceLiteratureLaw

Abstract

fetched live from OpenAlex

Film scholars have argued that the British social realist films of the late 1950s and early 1960s reflect the concerns articulated by British cultural studies during the same period. This article looks at how the social realist films of the 1970s and early 1980s similarly reflect the concerns of British cultural studies scholarship produced by the University of Birmingham’s Centre for Contemporary Cultural Studies during the 1970s. It argues that the Centre for Contemporary Cultural Studies’ approach to stylised working-class youth subcultures is echoed in the portrayal of youth subcultures in the social realist films Pressure (1976), Bloody Kids (1979), Babylon (1980) and Made in Britain (1982). This article explores the ways in which these films show us both the strengths and weaknesses of the Centre for Contemporary Cultural Studies’ work on subcultures.

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)0.004
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: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0130.009
Scholarly communication0.0080.003
Open science0.0010.006
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.150
GPT teacher head0.272
Teacher spread0.122 · 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

Citations6
Published2015
Admission routes1
Has abstractyes

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