El análisis de contenido en la investigación sobre didáctica de la literatura
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Hemos realizado una tesis doctoral dirigida a la identificación y jerarquización de las finalidades de la enseñanza de la literatura en cursos pertenecientes a la escolaridad preuniversitaria. Nuestra investigación ha recurrido a dos enfoques investigativos complementarios. El primero de ellos consiste en un nálisis de contenido. Con fundamento en este análisis descriptivo y crítico, se ha desarrollado una investigación interpretativa destinada a comprender las finalidades asignadas a esta enseñanza. Consideramos que la selección de una metodología mixta, que combina elementos cuantitativos y cualitativos, es inusual pero prometedora para la investigación en didáctica de la literatura, por tratarse de un campo todavía demasiado impregnado de implícitos y de determinaciones metodológicas.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it