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Record W3112025724 · doi:10.1017/9789048515059.015

Operatic Cinematics: A New View from the Stalls

2013· other· en· W3112025724 on OpenAlexaboutno aff
Kay Armatage

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Full disclosure: I am an opera novice. I was lured in by Canadian Opera Company productions directed by cinema luminati – Atom Egoyan, Francois Gerard, Robert LePage – and then I bought season tickets, as it seemed to me the best entertainment value going. But with a few exceptions such as La Bohème and Salome , I’m seeing every opera for the first time; and I have learned that there are lots of them. When “Metropolitan Opera: Live in HD” performances began transmitting via satellite into movie theaters in 2006, I was in the front seats for the whole season. I have to confess I became an opera buff at this point, meaning that term precisely in the pejorative. In cinema, there are many levels of cinephilia, most of which were, at least until recently, despised by film academics. Yet even at the lowest echelons, fan-boys – who keep deeply nuanced lists – are held in higher esteem than movie buffs, who are strictly amateurs but imagine themselves to be in the know. I confess to being an opera buff. At the end of its third season, the Metropolitan Opera HD satellite transmissions were described as “the most significant development in opera since the supertitle.” With multiple cameras in play, experienced filmmakers and television directors at the helm, live interviews and behind the scenes glimpses, the transmissions offer much more than simple documentation of performances. The Los Angeles Times went so far as to call the experiment of merging film with live performances “a new art form.” Modes of Spectatorship Rather than agreeing on a new art form, I will argue in the first instance that these live HD transmissions are creating a new breed of opera spectators. This in itself has elicited outrage from opera purists who, in addition to repudiating the sonaural amplification and cinematization of opera, often object vigorously to the attempts at democratization of an art form that – at least in the 20th century – has been associated with the cultured and moneyed classes. Opera is the last art form that is considered an elite taste, as both the learning curve and the sticker price are precipitous.

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)0.005
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.031
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0070.014
Scholarly communication0.0160.012
Open science0.0010.008
Research integrity0.0030.009
Insufficient payload (model declined to judge)0.0310.003

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 head0.036
GPT teacher head0.217
Teacher spread0.181 · 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
GenreOther

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
Published2013
Admission routes1
Has abstractyes

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