Signifying (and Psychoanalyzing) National Identity in Rock: Bruce Springsteen and The Tragically Hip
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.016 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".