Still searching for the Promised Land: placing women in Bruce Springsteen’s lyrical landscapes
Bibliographic record
Abstract
By telling stories about the unevenness of the ideal of the Promised Land, Bruce Springsteen drenches landscapes with individualized renderings that speak to a collective sense of being American and living in America.Yet what is lost in this detail is the awareness that males dominate the American imaginary, that Americans are men, and that their America is masculine. A close, critical reading of Springsteen’s lyrics via Deleuze and Guattari’s ideas of ontological positivity and becoming-woman reveals complexities embedded in his American imaginary, ones rife with iconic images that assist in figuring out how women come to be an intricate part of the story without being the subject of the tale. In reading Springsteen’s lyrical landscapes, ones crafted through the ideal of the Promised Land, I use the unexplored hook of man as subject as a positive mechanism of becoming to show how the lyrics work to place women vis-a-vis men’s journeys to the Promised Land.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.015 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".