Sobre las zorras Celestina y Lozana: el simbolismo animal en la configuración del personaje de la puta alcahueta
Bibliographic record
Abstract
La influencia indiscutible de La Celestina en La Lozana andaluza no se limita a su estructura, contenido y función (Botta 2002; Checa 2005; Imperiale 1991; Márquez Villanueva 2006), sino que abarca también el simbolismo animal empleado en la configuración del personaje de la puta alcahueta (Shipley 2020; López-Rodríguez 2018; Miaja de la Peña 2017; Snow 2021). Celestina y Lozana son melosas y laboriosas como las abejas, putas y maternales como las gallinas, locuaces y libres como las aves, tentadoras y pecaminosas cuales sierpes, libidinosas y obstinadas como las asnas e incluso mansas e indefensas como las ovejas. En efecto, existe una suerte de bestiario en la creación de las figuras de las proxenetas, cuyo físico y personalidad, vivienda, oficios, creencias y función social están marcados con rasgos animales. Aparte de recalcar el mundo instintivo animal del sexo con el que se ganan la vida estas dos rameras, la iconografía bestial sirve para esbozar la naturaleza polifacética de Celestina y Lozana. A fin de cuentas, su supervivencia, cual animal, depende de su adaptación al medio, porque, en palabras del personaje de Francisco Delicado, «¿Qué me tengo que mantener […] como camaleón?» (179).
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".