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Record W2541016220 · doi:10.7202/1037303ar

(Re-)Performing Early Mixed Music from the 1980s at Ircam: Pierre Boulez’s Dialogue de l’ombre double

2016· article· en· W2541016220 on OpenAlexvenueno aff
Miriam Akkermann

Bibliographic record

VenueCircuit Musiques contemporaines · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicLiterature, Musicology, and Cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsDocumentationFace (sociological concept)Computer scienceConstant (computer programming)Order (exchange)Visual artsArtLinguisticsProgramming languagePhilosophyBusiness

Abstract

fetched live from OpenAlex

In the 1980s, performing mixed music required cumbersome, expensive technical equipment which was usually tied to institutions. Hence, the creation of those works was bound to technical structures, personnel resources, and facilities, and closely connected to technological developments. Today, re-performances of these works face several challenges. Due to rapidly changing technology, the performance of these pieces is in constant flux, and documentation on them is based in part on an oral tradition of information exchange. The career of such works is therefore more strongly connected to institutional actors than is typically the case. Based on the example of Pierre Boulez’s composition Dialogue de l’ombre double (1976/1981-1984), the situation of re-performances of mixed music compositions at Ircam in the 2000s is described in order to give a brief overview of more general trends.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.677
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.058
GPT teacher head0.274
Teacher spread0.216 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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