Labrador, L.; Herrera, R.L.; Pérez, B.; Cardoso, M.A; Bermudo, I. Estudios Literarios destinado a estudiantes de la Licenciatura en Educación Primaria. (2013). La Habana: Pueblo y Educación.
Bibliographic record
Abstract
El texto objeto de análisis, publicado por la editorial Pueblo y Educación en el año 2013, como bien explican sus autores en el Prefacio “viene a llenar un vacío bibliográfico dentro de la disciplina Estudios Literarios, pues reúne materiales que se encuentran en textos no siempre disponibles o que se editaron muchos años atrás”.\nEn él encontramos referencias y hasta capítulos completos de obras imprescindibles en esta materia publicadas hace muchos años y que no se han reeditado como son: Introducción a la teoría literaria, de O. Bélic, Fundamentos de Teoría de la Literatura, de Timoféiev, Temas de teoría de la literatura, de un colectivo de autores, Literatura Infantil, de un colectivo de autores encabezado por Alicia Abascal; Introducción a la Literatura Infantil, de Griselda Novas; Metodología de la enseñanza de la Literatura, de Rosario Mañalich; Niños, Autores y Libros, de Alga Marina Elizagaray; Escribir para niños y jóvenes, de Waldo González L; entre otras.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.016 | 0.007 |
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".