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Record W4386626173 · doi:10.1080/2040350x.2023.2255456

Between the Borders of Life and Art: Roman Polanski’s Transgressive Negotiations

2023· article· en· W4386626173 on OpenAlexaff
Sony Jalarajan Raj, Adith K. Suresh

Bibliographic record

VenueStudies in Eastern European Cinema · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsMacEwan University
Fundersnot available
KeywordsSubversionNarrativeAestheticsLiteratureAbsurdityTransgressiveSociologyArtPsychoanalysisPsychologyPoliticsLawPolitical science

Abstract

fetched live from OpenAlex

Roman Polanski’s films are noted for their subversive psychological style that explores themes of sexuality, desire, alienation, and violence. His narratives often reflect a dark sense of humour through which the director perceives the absurdity of the human condition in relation to his own cultural dislocations and artistic eccentricity. This article investigates how different connotations of transgression play a major role in defining Roman Polanski as a filmmaker. It specifically explores how the polysemy of transgression structures Polanski as an artist whose real and cinematic negotiations are often intertwined. Through the constant subversion of moral, cultural, and social discourses, his visual style and narrative ideology maintain a notorious affinity that disturbs the notion of reality and manipulates it with new narrative texts. It is the idea of transgression that changes the way Polanski’s auteur status is perceived, appreciated, and rejected for his actions and creations in the past and their repercussions in the present. Polanski’s works use historical, social, and personal realities to renegotiate his transgressive image in real life by incorporating his contested victim status and persecuted selfhood in narratives that manipulate both the past and present.

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: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0160.032
Scholarly communication0.0140.007
Open science0.0010.007
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0020.000

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 head0.091
GPT teacher head0.307
Teacher spread0.216 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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