Bibliographic record
Abstract
JAVIER APARICIO MAYDEU PROFESOR DE UTERATURA ESPANOLA Y CONTEMPOR?NEA EN LA UNIVERSIDAD POMPEU FABRA Y CRITICO LITERARIO .a letra menuda Je la comeclia humana L a prosa de Munro (Ontario, 1931), siempre ligera de equipaje, siempre pendien te del matiz. Sin sonajeros ni abalorios, ni una sola palabra de mas. Frases simples dispuestas con precision de relojero despues de incontables borrado res revisados con un endemoniado senti do critico. Relatos de una abuela de ex quisita memoria evocando anodinos de talles de un pasado intrascendente ante tazones de cafe caliente, apenas notas a pie de pagina de la vida humana, finos comentarios para acompaiiar las fotos en bianco y negro de un album del recuer do. Sin heroes ni peripecias. Sin proposi tos morales ni exhibicionismos formales, la mirada escrutadora de su narrativa ilu mina la vida domestica revelando lo que tiene de extraordinario, encadenando di minutas epifanias cotidianas y sendando le al lector, con un adjetivo, con una elip sis, con un silencio elocuente, con el sus tantivo menos llamativo del diccionario, que bajo la tierra yerma de un parrafo del relato brota la hierba fragil de un connicto emotional. Narrativa de sutile
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.007 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.024 | 0.003 |
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".