‘May she who was once beautiful be transformed into a monster’: magic and witchcraft in <i>Veneno es de amor la envidia</i> (Madrid, 1711)
Bibliographic record
Abstract
Abstract Through the lenses of magic, witchcraft and superstition, this article explores Veneno es de amor la envidia (Biblioteca Nacional de España, Ms. 19254), a little-known zarzuela by Sebastián Durón and Antonio de Zamora. I consider this zarzuela within its wider cultural context, looking at changing attitudes towards magic and witchcraft in early modern Spain, as well as within the context of Zamora’s literary output. I propose that Veneno es de amor la envidia was intended to attract large crowds of theatregoers fascinated with depictions of the supernatural while also helping to debunk beliefs in witchcraft through the use of humour and parody. An examination of this rather intriguing zarzuela contributes to our understanding of an often-overlooked corpus of theatrical music of the Baroque.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".