Still searching for the Promised Land: placing women in Bruce Springsteen’s lyrical landscapes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it