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Record W4392891712 · doi:10.32926/2023.11.8

Horror and the Cube Films: An unlikely medium for the negotiation of Nationalist-Cultural ideologies

2023· article· en· W4392891712 on OpenAlexaboutno aff
David Christopher

Bibliographic record

VenueMutual Images Journal · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsNationalismIdeologyMovie theaterSociologyFilm industryNational identityAestheticsPoliticsMedia studiesGender studiesLawPolitical scienceLiteratureArt

Abstract

fetched live from OpenAlex

Over the past several decades, scholarship has come to recognise the unexpected significance of horror cinema ventures as both culturally and politically relevant. One of Canada’s greatest horror film successes was Vincenzo Natali’s 1997 psychological thriller Cube that metaphorically explores the suffocating nature of vocational social relations under the conditions of a patriarchal military-industrial capitalism. So innovative was its premise that US interests quickly acquired the rights to produce and distribute Cube 2: Hypercube (2002) and Cube Zero (2004), but they were just as quick to reformulate the most subversive critique of the original film. Two decades later, in 2021, Japanese producers released a remake of the original film (which was so popular there), although it also re-coded the thematic critique, just as the American sequels had done. With this group of films across three national production traditions arises an opportunity to “detect shifts in the ideological constellation”, as Slavoj Žižek has argued, by “compar[ing] consecutive remakes of the same story” (2011, p. 61). Following primarily Herbert Marcuse’s understanding of political repressive tolerance, this article demonstrates the way in which constructions of cultural identity are negotiated across national traditions in the age of globalisation. Cube and its follow-ups demonstrate the nationalist-inflected limits of critical expression in the way that each subsequent film attempts to re-focus and re-code the horrors of the narrative machine in order to assert their own nationalist sensibilities threatened by the cultural levelling effect of globalisation in an age of transnational cinema distribution.

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)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.469
Threshold uncertainty score0.675

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.038
GPT teacher head0.359
Teacher spread0.321 · 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.

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
Published2023
Admission routes1
Has abstractyes

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