“La identidad imprevisible”: La pérdida del reino y la correspondencia entre Elena Garro y José Bianco
Bibliographic record
Abstract
Este artículo analiza la inclusión de fragmentos de cartas privadas de Elena Garro en el texto de La pérdida del reino de José Bianco. Este uso de contenido epistolar como material narrativo, descubierto mediante el cotejo de la novela con las cartas enviadas por Garro a Bianco hacia fines de la década de 1940, se inscribe dentro de la concepción que el escritor argentino tenía de la correspondencia como extensión natural de la obra literaria de un autor. En su novela, Bianco compone el personaje de Laura Estévez nutriéndose en gran parte de las palabras escritas por Garro, pero sometiéndolas a un minucioso proceso de edición que las resignifica como material narrativo. Así, esta apropiación de materiales documentales y aun íntimos en una obra de ficción se inscribe como un procedimiento compositivo que borronea programáticamente los límites entre “vida real” y creación literaria y por eso mismo ofrece, como un juego de espejos enfrentados, nuevos niveles de interpretación.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.013 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".