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Record W1616298566 · doi:10.7202/1018450ar

Faisceaux imaginaires et cool medias : This Will Not Be Televised de Nicole Lizée

2013· article· fr· W1616298566 on OpenAlexvenueno aff
Maxime McKinley

Bibliographic record

VenueCircuit Musiques contemporaines · 2013
Typearticle
Languagefr
FieldSocial Sciences
TopicLiterature, Musicology, and Cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

L’imaginaire de la compositrice Nicole Lizée transforme en les rapprochant des éléments hétéroclites provenant principalement du cinéma, de la philosophie, des arts visuels, ainsi que de médias et de musiques populaires, avec un goût marqué pour les années 1960 à 1980 et l’effet fantomatique de ces emprunts. Cet article illustre ce processus de création à partir d’une des oeuvres marquantes de Lizée : This Will Not Be Televised (2005-2007), pour DJ et sept instruments. L’analyse s’attache à illustrer comment les faisceaux imaginaires de la compositrice se réifient au sein d’un même langage musical, basé ici sur une partie de DJ précisément notée et prolongée par l’ensemble instrumental, et qui fait appel à des stratégies de traitements d’objets culturels, de déploiements répétitifs, de montages par juxtapositions et superpositions, et à une forme continue où les rappels assurent la cohésion. Par cette approche, la compositrice s’intéresse aux liens tissés par la mémoire et la subjectivité de l’auditeur, au « blanc à remplir » caractéristique des cool medias de McLuhan.

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: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0080.013
Scholarly communication0.0070.003
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.294
Teacher spread0.251 · 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
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
Published2013
Admission routes1
Has abstractyes

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