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
Mientras don Quijote queda en Sierra Morena haciendo penitencia de amor porDulcinea, Sancho Panza se encamina al Toboso a entregar a la amada una cartadel caballero (Quijote I, 25). El escudero conoce ya la verdadera identidad dela señora que inspira los actos de su amo, “la moza labradora” Aldonza Lorenzo.El hecho de que Sancho no llegue al Toboso, y en consecuencia no vea nuncaa la doncella ni le entregue ninguna carta, suscita en la descripción posteriorque hace a su amo una serie de invenciones degradantes sobre la identidad dela joven construidas por el labrador a partir del imaginario rural. Se estableceasí un duelo hiperbólico de doble signo en donde don Quijote se ve forzadoa adaptar las imágenes con que Sancho describe a Aldonza-Dulcinea, que nocorresponden al ideal amoroso con que concibe a su amada (Quijote I, 30-31).Haré aquí un análisis de los recursos persuasivos que cada protagonista utilizay del choque semántico que se establece a partir de los códigos de referencia deuno y otro. Asimismo, consideraré las consecuencias de estos episodios en larelación entre amo y escudero y la degradación creciente que sufre la imagende la amada del caballero, gracias al poder discursivo de Sancho Panza
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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