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Record W1982201922 · doi:10.7202/1014602ar

Theory and Fieldwork

2013· article· en· W1982201922 on OpenAlexvenueno aff
John Shepherd, Beverley Diamond

Bibliographic record

VenueCanadian University Music Review · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsSociologyMusicologyScholarshipDisciplineEpistemologyPopular musicMusic theoryCultural studiesMusic historyAestheticsSocial scienceMusic educationVisual artsAnthropologyMusicalPedagogyArtPhilosophyLawPolitical science

Abstract

fetched live from OpenAlex

John Shepherd This intervention suggests that the recent and welcome emergence of fieldwork as a prominent feature of much current work in popular music studies has deflected attention from an undertaking that characterized the early days of popular music studies: that of developing from within the various protocols of cultural theory concepts to explain the meanings, significances, and affects that music as a socially and culturally constituted form of human expression holds for people. In tracing a shift from theoretical to ethnographic concerns in work carried out in popular music studies by musicologists, ethnomusicologists, social anthropologists, and sociologists, it is suggested that a renewed emphasis on theory in musicological work in popular music studies may be of consequence for the academic study of music as a whole. Beverley Diamond In response to the editor's question concerning theory and fieldwork, this colloquy argues that the two are inseparable. Further, the importance of fieldwork in providing "alternative theory" which challenges the consistencies of academic thinking is emphasized. For this reason, the article eschews disciplinary history as a means of tracing important theoretical currents in music scholarship and, instead, presents arguments which confront the hegemonies of any history, any discourse of intellectual continuity, positing incidents which expose the social contingencies of theory.

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: Other · Consensus signal: Other
Teacher disagreement score0.393
Threshold uncertainty score0.985

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)0.1310.001

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 head0.020
GPT teacher head0.154
Teacher spread0.134 · 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
GenreOther

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

Citations2
Published2013
Admission routes1
Has abstractyes

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