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Record W3015346724 · doi:10.7202/1068383ar

La migration numérique d’une oeuvre pionnière avec live electronics. Mesa (1966) de Gordon Mumma

2020· article· fr· W3015346724 on OpenAlexvenueaboutno aff
Jonathan Goldman, Francis Lecavalier, Ofer Pelz

Bibliographic record

VenueRevue musicale OICRM · 2020
Typearticle
Languagefr
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Cet article résume les retombées d’un projet de reconstruction d’une oeuvre pionnière de live electronics , à savoir Mesa (1966) du compositeur étatsunien Gordon Mumma (né en 1935). Une reconstruction de cette oeuvre a été présentée dans le cadre du festival Montréal/Nouvelles Musiques le 27 février 2017 par l’auteur et les collaborateurs de cet article : Jonathan Goldman au bandonéon, Francis Lecavalier à la conception informatique, et Ofer Pelz à l’interprétation de la partie électronique. Au cours de cette « migration », l’oeuvre, fondamentalement analogique, a été reconçue pour un équipement numérique contemporain avec le consentement du compositeur. S’inscrivant nettement dans la lignée de l’École de New York cageienne, Mesa revêt un statut ontologique curieux : elle est le produit d’une indétermination passablement radicale. Comme c’est le cas pour l’oeuvre de Cage, Mesa et sa reconstruction numérique nous force à repenser l’ontologie et l’épistémologie de l’oeuvre musicale.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.841
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.022
GPT teacher head0.231
Teacher spread0.210 · 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

Citations0
Published2020
Admission routes2
Has abstractyes

Explore more

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