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Record W1737957772 · doi:10.4000/volume.4473

Stone Deaf Forever: Discourses of Loudness

2015· article· en· W1737957772 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueVolume ! · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsLoudnessPopular musicArtDanceElectronic dance musicStudioVisual artsLiteratureHistoryMedia studiesAestheticsSociologyAcoustics

Abstract

fetched live from OpenAlex

High volume in the form of high sound pressure level (SPL) is ingrained in the aesthetics of many forms of popular music, most obviously in rock and its associated sub-genres, but also in many other genres and styles including various forms of dance music, hip hop, reggae and electronic music. The primary site of expression of the notion of loud-as-good is in the performance of music in public spaces or venues (live, recorded or a blend of both). The reproduction of discourses of loud-as-good is woven through popular music culture, from bands in tiny rehearsal studios to the world record for “loudest” band (Deep Purple or The Who, depending on the year of publication of the Guinness Book of Records). Loud-as-good discourse has been satirised in other media: the “mockumentary”, This is Spinal Tap (1984) and Douglas Adams’ The Hitchhiker’s Guide to the Galaxy, both of which are addressed here. This essay identifies five discourses of loudness as they appear in music journalism, and in fiction. These are: loud-as-good, loud-as-bad; loud-as-good for the audience, but bad for the journalist; loud-as-good for the journalist, but bad for the audience; loud-as-irrational.

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.

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: none
Teacher disagreement score0.319
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.053
GPT teacher head0.233
Teacher spread0.180 · 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