Tigres borgianos (dioses, arquetipos y amigos): Una lectura ecocrítica
Bibliographic record
Abstract
La obra de Jorge Luis Borges esta marcada por las huellas de animales no humanos, de entre los cuales sobresalen los tigres. El presente texto constituye una lectura de los tigres borgianos –y del Borges de los tigres– desde una perspectiva ecocritica, enfocandose en la relacion que el autor y sus voces poetica y narrativa establecen con otros sujetos animales. A partir de la premisa de que muchos de los textos de Borges deconstruyen y descolonizan la dicotomia humano-animal, este articulo pretende comprender los roles de la relacion humano-tigre en la obra del autor, los discursos historicos, cientificos y epistemologicos que promueven y limitan dicha relacion, y las conexiones entre el tigre y algunos temas fundamentales como la divinidad, el infinito y el lenguaje. Asi, el objetivo principal de este analisis es examinar las relaciones interespecie y las subjetividades humana y no humana en la literatura de Jorge Luis Borges.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.017 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".