Bibliographic record
Abstract
<p class="first" id="d352335e107">This chapter reads the Fama y obras pósthumas within the seventeenth century’s attempts to create holy subjects for the purpose of edification, primarily through Father Calleja’s approbation, as well as posthumous elegies that rescript Sor Juana’s renewal of her vows, charity, devotional writings, teachings, and God-given grace as means for both warranting her renown as a saintly exemplar as well as championing her literary and intellectual fame. By considering Sor Juana’s life story and her writing over and against that of Mexican female penitents of the Counter-Reformation, comparisons with male saints and even imitatio Christi, or the paradox of the inimitable female exemplar, I examine how the volume’s collaborators chose to align Mexico’s rara avis to staunchly entrenched formulae to make her legible for her contemporaries, thereby increasing the promise of posthumous fame.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.008 |
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; both teacher heads agree on what is shown here.
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".