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Record W1705986933 · doi:10.21083/csieci.v3i1.82

Looking for the Band: Walter Benjamin and the Mechanical Reproduction of Jazz

2007· article· en· W1705986933 on OpenAlexaffvenue
Karl Coulthard

Bibliographic record

VenueCritical Studies in Improvisation / Études critiques en improvisation · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsJazzMusicalVisual artsClassical musicArtAesthetics

Abstract

fetched live from OpenAlex

Using Walter Benjamin’s essay “The Work of Art in the Age of Mechanical Reproduction” as a template, this paper examines the impact of recording technology and the recording industry on the development and dissemination of jazz and on past and present popular perceptions of this musical form. For an unwritten and improvisatory art form such as jazz, the implications of the mass distribution of recordings become particularly significant, as one cannot, as with sculptures or paintings, compare the reproductions with the original work. This condition raises significant questions concerning the concept of original versus copy and whether it is really possible, in the case of performance art like jazz, to identify an “original.”
 
 Listening to a live performance of jazz is a very different experience from hearing it on a recording, which is a medium that is filled with numerous, often questionable, degrees of mediation. There are many elements, including racial prejudices, corporate and advertising interests, and the ambitions of individual musicians and producers, that have affected and structured many of the recordings that we now regard as “classic” jazz. The recording industry was also responsible for the vast proliferation of jazz across North America and eventually around the globe, however, introducing jazz recordings to scores of listeners, as well as many future jazz musicians who made significant contributions to the development of this art form, and who might otherwise have never even encountered this style of music. The music that we now know as jazz has been the product of a complex developmental process that flows freely between the media of live performance and sound recordings. As such, one should be wary of dismissing the role of recording technology in the development of jazz as being inherently corrupt and of regarding the sound recording as a fixed text.

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)0.004
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.624
Threshold uncertainty score0.687

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.074
GPT teacher head0.356
Teacher spread0.282 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations5
Published2007
Admission routes2
Has abstractyes

Explore more

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