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Record W3126297620 · doi:10.7202/1075796ar

Decolonial Echoes: Voicing and Listening in Rebecca Belmore's Sound Performance

2021· article· en· W3126297620 on OpenAlexvenueaboutno aff
Iris Sandjette Blake

Bibliographic record

VenuePerformance Matters · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVoiceActive listeningContext (archaeology)GestureColonialismSpace (punctuation)AcousticsVisual artsSociologyAestheticsHistoryLinguisticsArtComputer scienceSpeech recognitionCommunicationArtificial intelligence

Abstract

fetched live from OpenAlex

Focusing on the Canadian settler context, this article analyzes two of Anishinaabe artist Rebecca Belmore’s interactive works that enact alternatives to colonial understandings of voicing and listening that have centred the human ear and vocal apparatus. In particular, I analyze Ayum-ee-aawach Oomama-mowan: Speaking to Their Mother (1991), where Belmore constructed a large wooden megaphone for participants to speak into and address the land directly, and Wave Sound (2017), where Belmore installed four sculptural listening tubes in Canadian National Park and reserve sites that invited visitors to listen to the land. Through my analysis of these two iterative performances, I examine how the echo functions as a decolonial gesture and multisensorial (re)mapping that can generate alternatives to modernity’s spatial-temporal-sensorial order and unsettle the coloniality of the voice. Engaging critical work in sound studies and Native feminist theories to think about vibration, I propose that voicing and listening can be understood as a set of social relationships between people and space/time.

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)0.003
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 score0.891
Threshold uncertainty score0.220

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0200.016
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.046
GPT teacher head0.218
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 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
Published2021
Admission routes2
Has abstractyes

Explore more

Same venuePerformance MattersSame topicDiverse Musicological StudiesFrench-language works237,207