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Record W3131193136 · doi:10.26443/boss.v4i1.54

Signifying (and Psychoanalyzing) National Identity in Rock: Bruce Springsteen and The Tragically Hip

2021· article· en· W3131193136 on OpenAlexaffabout
Alexander Carpenter, Ian Skinner

Bibliographic record

VenueThe Biannual Online-Journal of Springsteen Studies · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsIdentity (music)ArtHistoryAesthetics

Abstract

fetched live from OpenAlex

This article addresses the broader issues of national identity in popular music, while focusing on Bruce Springsteen as an icon of "American- ness." Springsteen's ideas about American identity—and especially how identity is tied to place, and to abstract notions like the American Dream—are addressed through an analysis of the song "Born to Run.” This analysis examines how the elusiveness of American identity and the American Dream are embedded in the musical features of the song itself, including aspirational melodic structures and successions of non- resolving chords that signify a sort of never-ending pursuit. Springsteen and his music are also juxtaposed here with the music of the Canadian band The Tragically Hip, who are widely considered "Canada's band" by the Canadian media, and whose music is reputed to capture the essence of the Canadian identity; however, as in Springsteen's music, the articulation and expression of national identity proves problematic, and "The Hip" often resort to musical processes—especially harmonic stasis— that suggest not only the vast emptiness of the Canadian landscape, but also a kind of fruitless encircling of "Canadian-ness" as something that can never be fully grasped or realized.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.536
Threshold uncertainty score0.493

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.069
GPT teacher head0.318
Teacher spread0.249 · 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 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 routes2
Has abstractyes

Explore more

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