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Record W2609568756 · doi:10.7202/1039370ar

Les utopies électroniques de Paik et d’Averty : investigations et expérimentations télévisuelles

2017· article· fr· W2609568756 on OpenAlexvenueno aff
Marc Plas

Bibliographic record

VenueCinémas Revue d études cinématographiques · 2017
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

La visée principale de cet article, qui fait suite à des recherches dans les archives de l’INA, est la mise en évidence d’un aspect essentiel de l’oeuvre et de la démarche de Jean-Christophe Averty : la singularité de son approche de la télévision. L’auteur a pour cela jugé nécessaire de rapprocher Averty d’un autre créateur contemporain, Nam June Paik, qui a lui aussi été un pionnier de l’utilisation du médium vidéo dans une perspective artistique. Sans faire l’impasse sur les conditions sociales et historiques qui ont pu rendre possible l’émergence de telles entreprises, l’auteur cherche, dans son texte, à rendre compte de la part d’innovation radicale qu’elles comportent. L’activité d’Averty et celle de Paik sont liées à l’apparition massive de la technologie dans l’art de la seconde moitié du xxe siècle et aux particularités tant matérielles que conceptuelles de cette technologie. L’importance de leurs expérimentations apparaît d’une manière peut-être plus précise aujourd’hui, dans le contexte d’expansion et de généralisation des outils numériques.

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)0.009
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: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.010
Scholarly communication0.0050.006
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0210.001

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 head0.349
GPT teacher head0.398
Teacher spread0.049 · 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
Published2017
Admission routes1
Has abstractyes

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