Novela histórica y responsabilidad social del escritor: El camino trazado por Benjamín Prado en Mala gente que camina
Bibliographic record
Abstract
Desde el final de la dictadura franquista muy notable es el número de novelas cuya temática ha seguido circunscribiéndose a la Guerra Civil y sus consecuencias. La continuidad del tema -que arranca en pleno conflicto- no sólo obedece a que aún vivan muchos de quienes padecieron los años de la posguerra, sino también a que es un tema axial de nuestro devenir y, por extensión, del siglo XX. En nuestra literatura, ocuparse de la guerra continúa siendo más compromiso que evasión y, sobre todo, es sentido de la responsabilidad de los escritores hacia nuestra sociedad. En el caso de la novela histórica, ésta ha recuperado pasajes ausentes en el discurso historiográfico hegemónico que nos ha sido transmitido, como demuestra, a modo de paradigma, una excelente novela de la que nos ocupamos aquí: Mala gente que camina (2006), de Benjamín Prado, que aborda y desvela, entre otros, el asunto de los niños rojos robados por el franquismo.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.016 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".