Bibliographic record
Abstract
With the opening of the New World and the monopoly on trade granted to the city starting in 1503, early modern Seville went from a relatively important regional commercial center to a major continental and even international metropolis whose population nearly doubled every fifty years. This newfound prosperity had a transformative impact not only on the local economy but on internal social dynamics as well, given the number of migrants the city attracted, the diversity of their origins, and the social mobility this sudden influx of capital facilitated. In a place where stories of rags to riches (and riches to rags) abounded and living conditions varied significantly, scholars have naturally paid considerable attention to the social and economic disparities between and within groups or classes of residents. Religion was also at the heart of early modern Sevillian life with the presence of significant communities of converted Jews and Muslims, as well as the discovery of one the largest Protestant “flare-ups” in Spain, that set off the combined repressive efforts of the Spanish state and the Inquisition. But 16th- and 17th-century Seville was not only the “gateway to the Indies” or the “great Babylon” that poets, playwrights, and travelers have described for centuries. It was also one of the greatest and most vibrant centers of art, learning, letters, and print culture on the Iberian Peninsula, home to some of Golden Age Spain’s most illustrious writers, humanists, and painters.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.351 | 0.124 |
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".