Tradición y originalidad en el romancillo “En estas verdes hojas” de Sor Marcela de San Félix
Bibliographic record
Abstract
Este artículo analiza el romancillo “En estas verdes hojas” de Sor Marcela de San Félix. Se profundiza en el uso que hace la poeta del jardín conventual y sus flores para construir un poema complejo y lleno de matices que este trabajo pormenoriza. También se investiga la construcción del retrato de Cristo a la petrarquista que hace la escritora valiéndose de las plantas del jardín. Este retrato, convencional solo en parte, demuestra la habilidad de Sor Marcela para reconstruir un topos poético particular e interpretarlo con objetivos sagrados. Sor Marcela hace una descriptio viri y muestra a Cristo tanto como amado idealizado (el retrato tradicional) y como el habitual varón de dolores.
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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 | 0.002 | 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 | 0.007 | 0.013 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".