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Record W3125110149

Vedere l'ascolto. L'enunciazione audiovisiva in Listen/Écoute di R. Murray Schafer

2020· article· it· W3125110149 on OpenAlexaboutno aff
Emiliano Battistini

Bibliographic record

VenueE|C · 2020
Typearticle
Languageit
FieldArts and Humanities
TopicItalian Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsSilenceActive listeningPerforming artsMetaphorThe artsSoundscapeVisual artsMovie theaterArtSociologyAestheticsMedia studiesLinguisticsPhilosophyCommunicationAcoustics
DOInot available

Abstract

fetched live from OpenAlex

The paper presents a semiotic analysis of the short film by director David New Listen/Ecoute. The work was produced by the National Film Board of Canada during the Governor General's Performing Arts Award 2009 to celebrate the artistic career of R. Murray Schafer, the most important Canadian composer and also father of Soundscape Studies. Resuming Schafer's philosophy of listening, this short film represents the semantic condensation of his artistic and pedagogical career and it looks for a perlocutionary effect to the public, using a series of refined strategies on the enunciative and enunciational levels: the aim of the work is to lead the spectator to listen to his/her soundscape giving value to silence. Silence is created both through the interruption of visual and audio playback systems, starting to the same short film, and asking the spectator to be silent. To achieve this goal, the spectator's listening competence is built step by step, scene by scene, shot by shot, following the direct example of Murray Schafer as protagonist, and thanks to a trajectory in which the vision become a heuristic metaphor for the listening. Trying to have an effect on the spectator, creating an extra-textual space outside itself and, so, being a sort of “jutting out text”, this work represents an interesting case study to discuss the main theories of enunciation dealing with cinema and audiovisual arts. In fact, if this short film shows a very strong deixis “I/you”, nevertheless it presents many different “figures of enunciation” that play their role all along the work. At the same time, it remembers us that the audiovisual enunciation is a syncretic one, not only visual but auditory too, asking and giving birth to a specific kind of fruition: the audio-vision.

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 score0.034
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.006
Scholarly communication0.0080.003
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.002

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 head0.026
GPT teacher head0.213
Teacher spread0.188 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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