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Record W1659821181 · doi:10.22230/cjc.2008v33n4a2090

Live from the Met: Digital Broadcast Cinema, Medium Theory, and Opera for the Masses

2008· article· en· W1659821181 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Communication · 2008
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsOperaMovie theaterArtThe artsBroadcasting (networking)Media studiesPhenomenonVisual artsAdvertisingArt historySociologyAestheticsComputer sciencePhilosophyBusinessEpistemology

Abstract

fetched live from OpenAlex

Beginning with the 2006-07 season, the New York Metropolitan Opera began broadcasting live performances into select movie theatres around the world. This article explores the phenomenon using an approach known as medium theory. It draws from the work of three analysts in that tradition who have focused on the performing and recording arts: Edmund Carpenter, John Ellis, and James Monaco. The author coins the term “digital broadcast cinema” (DBC) to refer to the virtual experience of seeing a live opera on a big screen in high definition. The Met’s project is assessed with respect to the conventions that govern theatre, broadcast television, and cinema, and with reference to how it both enhances and compromises the traditional concert-going experience.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.633
Threshold uncertainty score0.526

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.222
Teacher spread0.179 · 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