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Record W3126155221 · doi:10.7202/1075804ar

Listening Backward: Sonic Intimacies and Cross-Racial, Queer Resonance

2021· article· en· W3126155221 on OpenAlexvenueno aff
Katelyn Hale Wood

Bibliographic record

VenuePerformance Matters · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsQueerActive listeningPerformative utteranceHistoriographyPoliticsDocumentationGender studiesSociologySilenceAestheticsVisual artsHistoryArtPolitical scienceComputer scienceLaw

Abstract

fetched live from OpenAlex

Documenting my encounters as a white queer scholar with the sonic archive of the late black American lesbian comic Jackie “Moms” Mabley, this paper explores the cross-racial/sexual politics of sonic historiography. Through what I term listening backward, I examine how sound procures queer sonic intimacies between critic and subject: the repetitive listening, soundwaves directly travelling from one voice to one person, and most pertinently, the historical and sociocultural contexts that make consumption of such exchange possible and/or fraught. This listening practice centres on relational and resonant modes of archiving through sound and asks: (1) How can exploring methods of sonic documentation align performance studies’ commitment to archiving the affective? (2) What might attention to not only the product of such documentation but also its performative processes offer about how the sonic can deepen modes of performance historiography and the racial/sexual politics of listening? (3) What practices of listening can centre queer intimacies and temporalities in the archive?

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)0.005
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0180.030
Scholarly communication0.0110.006
Open science0.0010.008
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.050
GPT teacher head0.244
Teacher spread0.194 · 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 designQualitative
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 routes1
Has abstractyes

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Same venuePerformance MattersSame topicDiverse Musicological StudiesFrench-language works237,207