El uso del diminutivo como estrategia de subjetivización en la "General estoria"
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
El trabajo analiza el uso de las formas diminutivas en -i(e)llo documentadas en la General estoria y los valores de disminución (asnillo) y valoración (ladronciello) con los que se emplean en esta obra historiográfica alfonsí. En primer lugar, pone en relación los diversos trabajos teóricos llevados a cabo sobre los diminutivos y ofrece una revisión general de su empleo como estrategia de subjetivización. A continuación, presenta la variación en las formas -iello/-illo, el número de casos registrados y los tipos de palabras con los que aparece este sufijo (nombres y adjetivos). Por último, centra la atención en el examen de los datos obtenidos, ejemplificando los valores de las voces diminutivas en personas, animales y cosas.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it