(Di)Simulation of the Bestiary Genre in Animalia exstinta by Esteban Seimandi, Hugo Horita, and Juan Cruz Bazterrica
Bibliographic record
Abstract
This article explores one of the latest branches in the evolution of the bestiary genre in contemporary Hispanic literature, (di)simulating bestiaries. The bestiary, a literary genre that proliferated during the medieval period, drew attention with its illustrations and illuminations, as well as the allegories it featured, fulfilling a didactic, Christian function. Although new Hispanic bestiaries published in the past two decades respect the form of the bestiary, that is to say, the presentation of the message with a title, image, and short text, they also offer increasingly creative interpretations that play with the content of the genre. This article explores a subcategory of bestiaries, which through their content pose as other genres for ludic literary purposes. The present study focuses on Animalia exstinta, written by Esteban Seimandi, illustrated by Hugo Horita, and designed by Juan Cruz Bazterrica. Using Jean Baudrillard’s concepts of simulacra and simulation, as well as surface and symptomatic reading, the article analyzes how Animalia exstinta simulates an environmental manifesto from fragments of contemporary Argentine culture and nostalgia.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".