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Record W1489544923 · doi:10.26522/vp.v11i2.1096

De trop – l’infini. À l’écoute de Raphaël Cendo avec Jean-Luc Nancy

2014· article· fr· W1489544923 on OpenAlexaffvenue
Cosmin Toma

Bibliographic record

VenueVoix Plurielles · 2014
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesArtPhilosophyArt history

Abstract

fetched live from OpenAlex

Qu’est-ce qu’une musique de fin de monde ? Avec son Introduction aux ténèbres (2009), le compositeur français Raphaël Cendo nous donne à entendre l’excès infini de la fin des fins, en travaillant à la fois ce qu’il appelle la « saturation » et l’« infrasaturation » du son à travers une partition où l’inachèvement est redéfini comme ce qui, dans l’art musical, est de trop, c’est-à-dire ce qui passe outre la création du monde. Une telle conception de la musique rappelle certains textes-clé du philosophe Jean-Luc Nancy (dont À l’écoute, TROP et « De l’œuvre et des œuvres »), où l’art des sons est repensé comme « ressentir » exemplaire, c’est-à-dire comme la structure même de la réflexion ou vibration d’un sens à la limite d’un monde finissant, jusqu’à l’excès d’une sorte de résurrection d’où le nom de Dieu a été évacué au nom de la musique des ténèbres. ABSTRACT What does music sound like at world’s end? With his Introduction aux ténèbres (Introduction to Darkness, 2009), French composer Raphaël Cendo scores the infinite excess of the end-all, simultaneously foregrounding what he calls the “saturation” and “infrasaturation” of sound. Indeed, his work redefines unfinishedness as that which lies in excess, overriding the creation of the world. This conception of music recalls some of French philosopher Jean-Luc Nancy’s key writings on the matter (most notably Listening, TROP and “De l’œuvre et des œuvres”), which rethink the art of sound as a particularly significant and intense kind of “feeling” or “sense”. More specifically, what is at stake here is the very structure that reflects meaning or sense when it reaches its end—the end of the world—sounding and resounding its way towards a kind of nameless, “godless” resurrection, where the music of darkness is all that’s left.

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: Other · Consensus signal: Other
Teacher disagreement score0.068
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0060.013
Scholarly communication0.0050.005
Open science0.0010.003
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0150.004

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 head0.070
GPT teacher head0.268
Teacher spread0.198 · 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

Citations0
Published2014
Admission routes2
Has abstractyes

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