The Archpriest of Hita's “Dueñas Chicas” and the Mulierculas of Latin Preachers
Bibliographic record
Abstract
Este ensayo pretende demostrar cómo las “dueñas chicas” del Libro de buen amor (manuscrito S, coplas 1606-1617) pueden relacionarse con las mujercillas o mulierculas (es decir, la forma plural, diminutiva y a menudo despectiva de mulier en latín) que se critican como pecadoras en la Segunda Epístola de San Pablo a Timoteo (3.6), según la Vulgata. Existe una larga tradición de comentarios, y sobre todo sermones medievales - entre otras obras devotas y moralizantes - que citan este pasaje bíblico con el propósito de menospreciar a algunas mujeres que se consideran pecaminosas y que, por tanto, adquieren el título de mulierculas. Las acusan de entregarse a hombres hipócritas que llegan a seducirlas y corromperlas bajo pretextos religiosos. El Arcipreste de Hita parece aludir irónicamente a esta tradición cuando se dirige al público (“Quiero vos abreviar, señores, la predicaçion”) para elogiar a las “dueñas chicas,” la “muger chica,” “pequeña” y “pequeñuela.” De esta manera, el narrador parodia el texto de San Pablocomo fuente de predicación, transformando el menosprecio de los predicadores en una celebración de las cualidades superiores de las mulierculas.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.014 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".