MétaCan
Menu
Back to cohort
Record W2034318197 · doi:10.7202/039233ar

Digital Multivocality and Embodied Language in Theatrical Space

2010· article· en· W2034318197 on OpenAlexaffvenueabout
Michael Darroch

Bibliographic record

VenueIntermédialités Histoire et théorie des arts des lettres et des techniques · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicArtistic and Creative Research
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsOralityMateriality (auditing)Embodied cognitionSpace (punctuation)Relation (database)Visual artsDigital eraArtAestheticsSociologyComputer scienceLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

This paper investigates the changing relation of the human voice to theatrical space. Innovations in digital sound technologies are reconfiguring the materiality of the voice and, consequently, the mediality of contemporary theatre. Western theatre, which developed alongside the shift from an oral to a visually-oriented, literate society, has largely remained a visual medium that continually subsumes orality. New media of the 19 th and 20 th centuries prompted various proposals for a “total theatre,” which generally worked towards removing voice and language from the theatrical environment. Drawing upon the recent multivocal works of Quebec artist Marie Brassard, the author proposes that today’s digital sound technologies are redrawing the possibilities for voice in a theatre that enables, in McLuhan’s terms, the constant “interplay of the senses” within a new acoustic space.

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)0.002
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 score0.009
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.019
Scholarly communication0.0090.007
Open science0.0010.009
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.033
GPT teacher head0.316
Teacher spread0.283 · 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
Published2010
Admission routes3
Has abstractyes

Explore more

Same venueIntermédialités Histoire et théorie des arts des lettres et des techniquesSame topicArtistic and Creative ResearchFrench-language works237,207