Between Educationalization and Appropriation. Selected Writings on the History of Modern Educational Systems
Bibliographic record
Abstract
Los estudios del profesor Marc Depaepe se presentan en la actualidad como un intento pionero por estudiar la educación y su historia desde una perspectiva acorde a la crítica epistemológica de la historia en el siglo XXI.Sus artículos publicados en los últimos 25 años son una referencia obligada para todos aquellos que desde la historia de la educación abordan investigaciones y reflexiones no sólo sobre el impacto que la expansión de las instituciones educativas ha alcanzado en diferentes contextos sociales, sino también en relación con el significado que las propias instituciones educativas tienen en distintas culturas.Dentro de la comunidad científica de la historia de la educación, son pocos, en verdad, los que discuten en la actualidad la repercusión que los trabajos de Deapepe poseen para el estudio y conocimiento de los procesos de expansión y apropiación del discurso educativo.El libro titulado Between Educationalization and Appropriation.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.041 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".