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Record W4237503458 · doi:10.32920/ryerson.14663199.v1

“Walk Like the Heroes”: The Performed Identity of Bruce Springsteen and the Relationship to Contemporary Popular Music Performance

2021· preprint· en· W4237503458 on OpenAlexaff
Ashley Petkovski

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsToronto Metropolitan UniversityCentre for Social InnovationYork University
Fundersnot available
KeywordsIdentity (music)Meaning (existential)PersonaWhite (mutation)EvocationAestheticsContemporary societySociologyPsychologyMedia studiesLiteratureArtSocial scienceHumanities

Abstract

fetched live from OpenAlex

This thesis examines the trend of contemporary popular musicians referencing and being compared to Bruce Springsteen. To do so, the work analyzes the performed social identity of Springsteen and its relationship to popular music performance, particularly in terms of understanding and assessing the motivations behind comparisons with Brian Fallon of The Gaslight Anthem, a band frequently though to represent Sprinsteen's influence. Two case studies were conducted to examine the performed personas of both artists, informed by theories of the communication of meaning and identity. Springsteen is found to portray a traditionally American, White, working class male, representative of the idealized image of early American republican philosophy. Alternately, Fallon is found to perform a similar social identity without the significant evocation of this republicanism. Comparisons between these artists are theorized as emerging from their use of similar identity representations and indicators of meaning, particularly in their communication of 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 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)0.001
metaresearch head score (Gemma)0.002
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 score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.007
Scholarly communication0.0040.001
Open science0.0000.002
Research integrity0.0010.001
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 head0.081
GPT teacher head0.234
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 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

Citations0
Published2021
Admission routes1
Has abstractyes

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