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Record W3036894573 · doi:10.5206/notabene.v13i1.8579

Voices That Matter: Authenticity, Identity, and Voice in the Musical Career of Lana Del Rey

2020· article· en· W3036894573 on OpenAlexvenueno aff
Anton Blackburn

Bibliographic record

VenueNota bene · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsSubjectificationSingingMusicalMaterialismIdentity (music)SociologyAestheticsLinguisticsArtLiteraturePhilosophyAcousticsEpistemology

Abstract

fetched live from OpenAlex


 
 
 Discursive authentications of singing voices in pop music reception are often rooted in gendered expectations. Moving away from essentialist understandings of the ‘authentic voice,’ this article proffers that voices are formatively entangled in processes of subjectification. Lana Del Rey is a singer whose (vocal) career has been considered inauthentic in the discourse of journalists, particularly when she first rose to stardom in 2011 via YouTube. Del Rey is a prime example of the contemporary values of artistic personae in pop culture, as her career has been so bound to notions of authenticity and sounding authentic. Through an analysis of the vocal aesthetics of Del Rey and the discourse that surrounds her, the notion of ‘vocal ontogenesis’ is developed. This concept moves from subjectification as an ontologically complete instance to subjectification as a never-ending process. The notion of vocal ontogenesis becomes useful for comprehending the complex aggregations of which the voice is a component, and more broadly implies the need for further study of vocal materialism, setting an agenda for decentered examinations of voice, gender, and authenticity.
 
 

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.702
Threshold uncertainty score1.000

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)0.0020.000

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 head0.091
GPT teacher head0.244
Teacher spread0.153 · 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
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

Citations0
Published2020
Admission routes1
Has abstractyes

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