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Record W2368080971 · doi:10.30535/mto.14.4.1

Embodied Subjectivities in the Lyrical and Musical Expression of PJ Harvey and Björk

2008· article· en· W2368080971 on OpenAlexaff
Lori Burns, Marc Lafrance, Laura Hawley

Bibliographic record

VenueMusic Theory Online · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsConcordia UniversityUniversity of Ottawa
Fundersnot available
KeywordsEmbodied cognitionLyricsMusicalSubjectivityExpression (computer science)Interpretation (philosophy)Musical expressionMeaning (existential)AestheticsArtPsychologyVisual artsLiteratureLinguisticsEpistemologyPhilosophyComputer science

Abstract

fetched live from OpenAlex

Alternative female artists PJ Harvey and Björk negotiate themes of embodied female subjectivity not only as cultural concepts, but also as musical forms; their lyrical themes are crafted within a comprehensive network of creative textual and musical expression. This music challenges the analyst to explore systematically and describe coherently the links between the lived and embodied experiences developed in the song lyrics and the sonic and expressive elements in the music, in other words to explore the links between social and musical practice. This paper develops a music-analytic method for the interpretation of the dynamic musical processes that are engaged in a socially constituted artistic expression. Our objective is to illuminate embodied dimensions of meaning through the interpretation of the materials and strategies of lyrics and music.

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)0.003
metaresearch head score (Gemma)0.007
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 score0.010
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.018
Scholarly communication0.0100.003
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.047
GPT teacher head0.220
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 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

Citations15
Published2008
Admission routes1
Has abstractyes

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