Riña de Gatos. Madrid 1936: Mendoza desde la óptica de la memoria histórica en el siglo XXI
Bibliographic record
Abstract
Abstract: 21st century Spain has witnessed a re-awakening of the past with Zapatero’s Historical Memory Law legislated in 2007 and a clamor to re-visit the Civil War (1936-39) and the Transition period with a critical stance. This new historical conscious has also resulted in a new wave of literature published on the Civil War. The objective of this paper is to explore how a work like Riña de Gatos. Madrid 1936 challenges the traditional boundaries of what is known as Civil War literature in Spain. The paper would encompass a thorough reading of the work authored by Eduardo Mendoza. In the process, it shall demonstrate the ability of this contemporary historical novel to transcend the boundaries of Civil War literature through a "rediscovery" of the Falange leader, Primo de Rivera (1903 – 1936) who was instrumental in the coup of 1936. Reseña: La España del siglo XXI ha atestiguado una vuelta del pasado con la Ley de Memoria Histórica de Zapatero (2007) y un clamor de retomar la Guerra Civil (1936-39) y el período de la Transición desde una postura crítica. Esta nueva consciencia histórica también ha resultado en una nueva ola de literatura publicada sobre la Guerra Civil. El objetivo de este trabajo es explorar cómo la obra Riña de Gatos. Madrid 1936 (2010) desafía los límites tradicionales de lo que se conoce como literatura de la Guerra Civil en España. El trabajo pretende una lectura detallada de esta obra de Eduardo Mendoza. En el proceso, demostraría su capacidad de trascender los límites de la literatura de la Guerra Civil a través de un "redescubrimiento" del líder de Falange, Primo de Rivera (1903 - 1936), que jugó un papel fundamental en el golpe de estado de 1936.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".