TOT BARCELONA: <i>FIN DE SIÈCLE</i> XVIII, SEGONS UNA FAMÍLIA DE MANUSCRITS LITERARIS DE NOVA YORK I MADRID
Bibliographic record
Abstract
This is a critical sampling of twenty-four verse excerpts contained in the Hispanic Society of America’s manuscript HC380/632, Poesies vàries, as well as in Biblioteca Nacional de España (BNE) ms. 1595. Both manuscript collections, combined with a third, BNE ms. 1595bis, offer an exemplary and rather complete collection of Catalan- and Spanish-language poetry indicative of the late rococo in Barcelona and environs. Of special note is a staunch and repeated defense of the Catalan language and typical customs, a critical commentary on the Barcelona industrialist Joan Canaleta, satirical barbs aimed at the Catholic Church’s covetousness, an acute sense of modernity, both in discourse and subject matter, and precise geographical points on the map of late eighteenth-century Barcelona, all of which lead us directly back to the Raval district and the current Institut d’Estudis Catalans. These three aforementioned, long ignored-poetry collections afford the reader valuable insights into the society that populated the city of Barcelona at the time. In so doing, they provide literary scholars, lexicographers, and historians more than a thousand pages of fresh new verse with countless bits of information and lexical forms.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".