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Record W2895858394 · doi:10.7202/1051599ar

“Listening Out” to Experimental Music in Canada: Publics, Subjects, Places

2018· article· en· W2895858394 on OpenAlexvenueaboutno aff
Jeremy Strachan

Bibliographic record

VenueIntersections Canadian Journal of Music · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsActive listeningCraftVisual artsJohn CageMedia studiesAestheticsHistorySociologyArtPerformance artArt historyCommunication

Abstract

fetched live from OpenAlex

In 2016 Michael Snow and Mani Mazinani improvised on vintage analog synthesizers in Yonge-Dundas Square, filling Toronto’s busiest commercial commons with retro-futuristic sonic filigree; almost fifty years earlier, Otto Joachim’s four-channel electronic sound installation Katimavik furnished the Canadian Pavilion at Expo 67 in Montreal with uncannily similar sounds. In both cases, listeners perambulated amongst a sonic-spatial architecture defined by publicness and auditory plurality. In the intervening decades, non-profit artist-run centres proliferated across the country, offering refuge for local experimentalists to develop their craft in the name of regional and national cultural growth. Such is experimental music’s longstanding position on the margins and centres of listening in Canada: its history as a niche practice is replete with attempts to insert itself into the everyday. I argue that the diffusion of experimental music into increasingly quotidian spheres in Canada offers a way to understand how place is engendered through the intersubjectivity of listening—an act implicated in a range of agentive processes. Different from other listening contexts, in listening to experimental music we become interpellated into a relational nexus where the loci of composition, performance, and perception become distributive and unstable. I thus suggest that listening to experimental music in Canada can be thought of as a “listening out” an “attentive and anticipatory communicative disposition.” The examples serve as case studies for refiguring the engagement between creative music and the commons in Canada—what experimental music can “mean in the world.”

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.204
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0200.000

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 head0.039
GPT teacher head0.211
Teacher spread0.172 · 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

Citations0
Published2018
Admission routes2
Has abstractyes

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