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Record W2942457680 · doi:10.3138/cjfs.27.2.2018-0005

Strange Bedfellows: Tragedy and Pornography

2018· article· fr· W2942457680 on OpenAlexvenueno aff
Wayne Batten

Bibliographic record

VenueCanadian Journal of Film Studies · 2018
Typearticle
Languagefr
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtTragedy (event)PhilosophyArt historyLiterature

Abstract

fetched live from OpenAlex

L’accessibilité des images graphiques et la facilité avec laquelle elles peuvent être remixées grâce aux médias numériques nous invitent à repenser les distinctions entre les genres traditionnels, dont la tragédie et la pornographie. En se servant de l’analyse fondamentale de la tragédie que propose Aristote et d’une définition de travail de la pornographie, l’auteur en réexamine les caractéristiques génériques à la lumière des travaux ultérieurs de théoriciens comme Friedrich Nietzsche, Michel Foucault et George Steiner. Il illustre les résultats des efforts de croisement des genres de diverses façons en explicitant trois films récents : The New Behind the Green Door (2013), Intimité ( Intimacy — 2001) et Shame (2011). La première de ces œuvres est une tragédie franchement pornographique ; dans la deuxième, l’exhibition de sexualité explicite se limite à une seule scène ; tandis que dans la troisième, les limites et les attraits de la pornographie sont explorés tant par le truchement du protagoniste consommateur de pornographie que par la récurrence des images de sexualité explicite dans le film lui-même. Une fois soumise aux contraintes morales du récit tragique, la pornographie peut se révéler un puissant agent de revitalisation.

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)0.003
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: none
Teacher disagreement score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.016
Scholarly communication0.0060.007
Open science0.0000.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0130.001

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 head0.076
GPT teacher head0.361
Teacher spread0.285 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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