Anatomia de um instante de Javier Cercas: A humanização do não humano ou a política viva
Bibliographic record
Abstract
En este artículo me propongo analizar algunos aspectos de lo que se llamó ct —Cultura de la Transición (Martínez, 2012; Labrador, 2017)—, en especial en lo que refiere al abordaje del intento de golpe del 23-F, hito fundacional de este proceso. Si la Transición fue pensada como un mito que interpretara un proceso, entonces el núcleo fue el 23-F,1 su mitema hegemónico, pues organiza una metaforicidad de la memoria entre la dictadura y la democracia incipiente. La condensación ideológica del 23-F transforma el pacto de la transición política y visibiliza el desencanto de la clase intelectual y media española. De allí que surjan dos posibles lecturas: la que habilita la “paz” y aquella que pone en tensión la memoria de la Transición. La primera es la que analizaremos en Anatomía de un instante de Javier Cercas. A partir de la lectura, proponemos que la transición ya no puede pensarse por fuera de su consistencia mediática. Analizar esta novela como un artefacto semiótico que opera ideológicamente sobre el ideologema de la “democracia incipiente” nos habilita también a criticar la tríada de héroes que se construye como eje programático y argumentativo de la trama.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.016 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 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 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".