Testuliburuetako edukiaren eta itxuraren garapena: Anaya, Edebé eta Santillana argitaletxeak adibide
Bibliographic record
Abstract
En este trabajo, hemos analizado las editoriales Anaya, Santillana y Edebé que son muy utilizadas en nuestras escuelas. Hemos comparado los textos publicados desde 1989 con la intención de observar los cambios ocurridos desde entonces tanto formales como de contenido. Para completar los iconos de los libros de texto se utiliza tecnología multimedia. Por termino medio cada página recoge dos iconos. Son pequeños. La mayoría de ellos ocupan menos de la cuarta parte de la página. Se colocan en la parte derecha de la página, probablemente por la influencia de estrategias publicitarias. La mayoría de los contenidos están ligados al Estado. Los contenidos socioculturales ligados a Euskal Herria han desaparecido de los libros analizados. Los datos denotan que los contenidos de los libros de texto cada vez son más estatales, dando cada vez menos importancia al contexto cercano. Los contenidos que se enseñan en las escuelas están lejos de la realizad de los alumnos, no tienen relación con su entorno natural, social y cultural.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.033 | 0.010 |
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".