Letradura, entendimiento y buen seso. El consejero regio en el Libro de los estados de Juan Manuel
Bibliographic record
Abstract
Este artículo analiza la figura del consejero regio en el Libro de los estados de don Juan Manuel. A partir de las investigaciones de Fernando Gómez Redondo y Leonardo Funes, se propone que este personaje literario es el transmisor de la ideología del autor, la clerecía señorial. Para ello se estudia el contexto político de la obra, su relación con la literatura consiliar producida en Castilla en los siglos XIII y XIV y los principios orientadores del comportamiento transmitidos por el consejero – buen seso, entendimiento y letradura. Se concluye estableciendo que la figura y su mensaje didáctico constituyen una apelación directa a Alfonso XI en un intento de instituir un nuevo ordenamiento cortesano monárquico-nobiliario que restaure los poderes de la alta aristocracia.
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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 | 0.007 | 0.006 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.003 |
| 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".