“Nobody Expects The Spanish Revolution”: memoria indignada e imaginarios de la historia en la narrativa gráfica española contemporánea
Bibliographic record
Abstract
En este artículo se abordan las tensiones y engarces de la memoria entre el denominado “clima” 15M y un género en ocasiones marginado como el de la narrativa gráfica. También discuto, a través de la “ficción política”, el imaginario de la historia en pleno proceso de politización de la sociedad española, en particular me centro en autores como Pablo Sánchez León, Luis Moreno-Caballud, Germán Labrador, Amador Fernández-Savater o Jacques Rancière, para tratar de articular el ideario del 15M y sus representaciones gráficas frente a problemáticas como la “Cultura de la Transición” o la democratización del saber y la crisis de representación y de los expertos. Argumento que en la narrativa gráfica permea el ciclo de movilizaciones, y el Movimiento Indignado en particular, a través del desarrollo de procedimientos literarios y dispositivos vinculados a la memoria, así como se conectan de forma múltiple estos tres aspectos. Y utilizo diversos ejemplos de narrativa gráfica, como Cuerda de Presas (2005) de Jorge García y Fidel Martínez, El arte de volar de Altarriba y Kim (2009), los volúmenes colectivos Yes, we camp! Trazos para una revolución (2011) y Revolution Complex (2011), Fagocitosis (2011) de Marcos Prior y Danide o Los surcos del azar (2012) de Paco Roca.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".