Bibliographic record
Abstract
The Fame of Sor Juana Inés de la Cruz traces the meteoric trajectory of the Mexican Tenth Muse's renown and studies how her worldly celebrity was altered posthumously by elegists in her Fama y obras póstumas [Fame and Posthumous Works] of 1700. In this study of a polyphonic, transatlantic volume, the didactic framework of early modern fame is pushed to its limits as panegyrists inscribe the nun into an evolving world-view that could trade in the fictions of the saintly exemplar, the Tenth Muse or a New World treasure, but could not preserve a woman's renown on the grounds of authorship. Only by making her legible could she vie for the promise of posthumous fame. In flushing out the machinations of Sor Juana's role as agent of her own celebrity as well as the negotiations of her contemporaries, this book opens new lines of inquiry in the study of early modern fame and print culture and the role of writers, panegyrists and editors as cultural agents in the transatlantic literary relationship between Mexico and Spain.
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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 | 0.000 | 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 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".