Bibliographic record
Abstract
La novela de Carmen Laforet Nada es uno de los grandes ejemplos del tremendismo español del siglo XX la cual retrata las duras y sombrías realidades de la guerra civil y la postguerra. No obstante, quienes han analizado esta obra han dejado pasar el uso de la animalización como un recurso utilizado en esta obra para poner en primer plano el contexto degradante y bestial de la sociedad española de la posguerra. Esta investigación ve a la animalización como una técnica literaria que concede atributos de animales a los seres humanos con el fin de hacer hincapié en que tanto el hombre y los animales viven en un mundo deshumanizante donde la supervivencia es el principal objetivo. Mientras que es un aspecto muy integral de la tradición literaria, la técnica de la animalización ha eludido la investigación académica en numerosos niveles. En este ensayo se teorizan las expresiones literarias de formas animales y sus conexiones con personajes humanos con el fin de ilustrar que este mundo dominado por instintos animales y la falta de facultades humanas es precisamente el producto de su propio contexto social e histórico degradante. Carmen Laforet’s novel Nada is one of the leading examples of the 20th century Spanish literary movement tremendismo that portrays the harsh, grim realities of civil war and its aftermath. Scholars have failed to recognize, however, the novel’s use of animalization as a technique that brings to the forefront the degrading and bestial context of postwar Spanish society. This research conceives animalization as the literary device that grants animal attributes to humans in order to emphasize that both man and animal inhabit a dehumanizing world where the main objective is survival. While a highly integral aspect of literary tradition, the technique of animalization has evaded scholarly inquiry on numerous levels. This essay theorizes the literary expressions of animal forms and their connections with human characters in order to illustrate that this animalized world dominated by instincts and the lack of human faculties is precisely the product of its very own degrading social and historic context.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.013 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| 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".