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Record W1569913034 · doi:10.20919/exs.1.2010.130

The Problem of Film Theatre Intermediality in Jesus of Montreal

2019· article· en· W1569913034 on OpenAlexaboutno aff
Laura Sava

Bibliographic record

VenueExcursions Journal · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsIntertextualityDramaArtFilm directorMovie theaterRelation (database)LiteratureNarrativePeriod (music)Media studiesAestheticsVisual artsSociologyComputer science

Abstract

fetched live from OpenAlex

My paper resorts to the recently theorized notion of intermediality in order to examine the representation of theatre in Jesus of Montreal (Denys Arcand, 1989) Far from being a stopgap term called into being by the ever more numerous instances of border violation between media, intermediality comes with a prestigious pedigree. It is a member of the ‘inter’ family (alongside terms such as intertextuality and interdisciplinarity) and a descendant of a comparative approach which extends far back in time, encompassing genres such as the apology and the paragone. Despite the fact that in film studies intermediality is still to a certain extent impending, it is highly applicable to instances where film quotes or references another medium. A focus on intermediality in Jesus of Montreal authorizes questions such as: Which are the prioritized connection points between film and theatre? How is the relation of the two media formulated by Arcand? How does a filmmaker stage a theatrical event for a cinema audience? My paper seeks to demonstrate and exemplify the sophisticated nature of the film’s involvement with theatre. To this effect, I shall use ideas drawn from intermediality studies, narratology and drama theory in conjunction with close analysis of chosen sequences.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.630
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.230
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 teacher head, not a consensus.

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
Published2019
Admission routes1
Has abstractyes

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