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Record W1752469226 · doi:10.1017/cbo9780511606953.010

Sexy Beasts: British Monsters

2004· book-chapter· en· W1752469226 on OpenAlexaff
Jim Leach

Bibliographic record

VenueCambridge University Press eBooks · 2004
Typebook-chapter
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsBrock University
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Although the revival of British cinema during and after World War II led many critics to celebrate a new “cinema of quality,” there were also trends that seemed disturbing to some observers. In 1948 Harold Wilson who, as president of the Board of Trade in the Labour government, was responsible for the film industry, declared, “we are getting tired of some of the gangster, sadistic and psychological films of which we seem to have so many, of diseased minds, schizophrenia, amnesia and diseases which occupy so much of our screen time.” He wanted “to see more films which genuinely show our way of life” and refused to believe that “amnesia and schizophrenia are stock parts of our social life.” As a staunch realist, Wilson here conflates two meanings of “normality,” as what is common and typical and what is healthy and reasonable. His argument also depends on making clear distinctions between so-called normal states of mind and what Charles Barr calls “the darker forces” at work in the genre films to which Wilson refers. However, the sheer number of these films and the intensity of Wilson's denunciation of them suggest that they did appeal to fairly large audiences, and thus that “our way of life” was not as stable or as homogeneous as Wilson imagined. The continuing influence of the myth of the People's War and the social policies of the postwar Labour government stressed the need for collective action in the common interest, but according to Robert Murphy, this vision was “more than counter-balanced by the new opportunities for crime that the war opened up.”

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)0.001
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: Other
Teacher disagreement score0.259
Threshold uncertainty score0.515

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0180.006
Scholarly communication0.0090.003
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0260.004

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 head0.208
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

Citations0
Published2004
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooksSame topicGothic Literature and Media AnalysisFrench-language works237,207