Who Killed Granada? From “the Beautiful” to “the Wounded” City of Falla and Lorca
Bibliographic record
Abstract
Two opposed conceptualizations of Granada, shared across poetry, painting (and photography) and music, combined to create a contrasting transmedia soundscape of the city throughout the twentieth century. Granada “the Beautiful” responded to the romantic myth of the city and was rooted mainly in the Alhambra, an Arab palace among the mountains, filled with gardens and water fountains. This idealized image could be heard in Manuel de Falla’s literary and pictorial dream: Noches en los Jardines de España [Nights in the Garden of Spain] (1916), and also appeared in Federico García Lorca’s musical conception of his city (1933). Fifty years later, the democratic transformation of Spain generally led to a punk, poetic deconstruction of the city in Rimado de ciudad [Rhyming from the City] (1983), singing about the margins of the city: Granada “the Wounded”, emerging from the suburbia and from the dark streets of the Arab quarter: the Albaicín.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.020 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| 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".