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Record W422760752

Screams on Screens: Paradigms of Horror

2010· article· en· W422760752 on OpenAlexaff
Barry Keith Grant

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsBrock University
Fundersnot available
KeywordsMovie theaterIdeologyTabooHollywoodCatharsisHumanitiesArtPopularityHistoryAestheticsLiteratureEthnologyArt historySociologyPolitical scienceAnthropologyLawPolitics
DOInot available

Abstract

fetched live from OpenAlex

This paper offers a broad historical overview of the ideology and cultural roots of horror films. The genre of horror has been an important part of film history from the beginning and has never fallen from public popularity. It has also been a staple category of multiple national cinemas, and benefits from a most extensive network of extra-cinematic institutions. Horror movies aim to rudely move us out of our complacency in the quotidian world, by way of negative emotions such as horror, fear, suspense, terror, and disgust. To do so, horror addresses fears that are both universally taboo and that also respond to historically and culturally specific anxieties. The ideology of horror has shifted historically according to contemporaneous cultural anxieties, including the fear of repressed animal desires, sexual difference, nuclear warfare and mass annihilation, lurking madness and violence hiding underneath the quotidian, and bodily decay. But whatever the particular fears exploited by particular horror films, they provide viewers with vicarious but controlled thrills, and thus offer a release, a catharsis, of our collective and individual fears.

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: Other · Consensus signal: Other
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0050.027
Scholarly communication0.0120.009
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.014
GPT teacher head0.305
Teacher spread0.291 · 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

Citations4
Published2010
Admission routes1
Has abstractyes

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Same topicGothic Literature and Media AnalysisFrench-language works237,207