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Record W3179617679 · doi:10.5195/cinej.2021.354

Baudrillard, Hyperreality, and the Evil in Othello and The Hateful Eight

2021· article· en· W3179617679 on OpenAlexaff
Pouria Torkamaneh, Farhad Poordakan, Pedram Lalbakhsh

Bibliographic record

VenueCINEJ Cinema Journal · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsProblematizationScholarshipPower (physics)BattleFeudAestheticsAlterityArtSociologyPhilosophyLawLiteratureEpistemologyPolitical scienceHistory

Abstract

fetched live from OpenAlex

Shakespeare’s tragedies and Quentin Tarantino’s aesthetically violent films bear striking similarities in the problematization of both villainy and reality. Such concerns reverberate the most in Othello (1604) and The Hateful Eight (2015). Although critical scholarship about both works abounds, this essay offers an alternative approach by consulting the thoughts of Jean Baudrillard on the issues of hyperreality, criminality, and terrorism. The dialogue between the three can be important in two ways. First, it establishes a link between Early Modern and contemporary culture by engaging three canonical figures. Second, it provides a novel commentary about each artistic piece by drawing on the profound ways (hyper)reality and villainy can function. The essay also discusses the (non-voluntaristic) crises of reality that follow, when opposing parties battle for the ultimate power.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: none
Teacher disagreement score0.624
Threshold uncertainty score0.875

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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 head0.012
GPT teacher head0.271
Teacher spread0.259 · 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 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

Citations3
Published2021
Admission routes1
Has abstractyes

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