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Record W2888972722 · doi:10.7202/1049952ar

Intermedial Products for Digital Natives: British Theatre-Cinema on Italian Screens

2018· article· en· W2888972722 on OpenAlexvenueno aff
Maddalena Pennacchia

Bibliographic record

VenueIntermédialités Histoire et théorie des arts des lettres et des techniques · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsMovie theaterRelation (database)PhenomenonDigital mediaArtNew mediaVisual artsSociologyMedia studiesMultimediaAestheticsComputer scienceEpistemologyWorld Wide WebPhilosophy

Abstract

fetched live from OpenAlex

The concept of intermediality underwent a deep transformation with the digital turn, when the difference between media became entirely virtual and a continuous communication system superseded the discontinuous analogic system. Does intermediality still make sense in the era of post-media? And, in particular, how do digital natives, with their specific cognitive abilities, perceive intermediality? Can we think of literature in terms of a fluid intermedial relation of writing to other media? And does such an approach help when it comes to teaching literature to digital natives? What are the intermedial products that the creative industries are designing specifically for them? Taking Shakespeare as an eminent example of a writer whose work has been adapted to all kinds of media, this article focuses on the phenomenon of British theatre productions that are conceived to be screened live in cinemas all over the world and presents the results of a pilot experiment devised to investigate the reception of one of these productions by a sample audience of Italian teenagers.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.873
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.005
Scholarly communication0.0020.002
Open science0.0010.000
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 head0.043
GPT teacher head0.288
Teacher spread0.245 · 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; both teacher heads agree on what is shown here.

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
Published2018
Admission routes1
Has abstractyes

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