La Comisión Depuradora de Bibliotecas del Distrito Universitario de Zaragoza durant la Guerra Civil (1936-1939)
Bibliographic record
Abstract
Objectiu: analitzar el significat i la transcendència de la Comisión Depuradora de Bibliotecas del Distrito Universitario de Zaragoza durant la\nGuerra Civil (1936-1939), el context que en va impulsar el naixement, la procedència dels integrants i la repercussió que va tenir sobre els\nserveis ordinaris de la Biblioteca de la Universidad de Zaragoza.\nMetodologia: anàlisi de fonts bibliogràfiques, hemerogràfiques i documentals vinculades al tema.\nResultats: comprensió del significat, de l’abast i dels continguts de la Comisión de Zaragoza.\n\nObjetivo: analizar el significado y la transcendencia de la Comisión Depuradora de Bibliotecas del Distrito Universitario de Zaragoza durante la\nGuerra Civil (1936–1939), el contexto que impulsó su nacimiento, la procedencia de sus integrantes y su repercusión sobre los servicios\nordinarios de la Biblioteca de la Universidad de Zaragoza.\nMetodología: análisis de fuentes bibliográficas, hemerográficas y documentales vinculadas al tema.\nResultados: comprensión del significado, alcance y contenidos de la Comisión de Zaragoza.\n\nObjective: to examine the importance of the purging committee known as the Comisión Depuradora de Bibliotecas del Distrito Universitario\nde Zaragoza (“Library Purification Committee of the University District of Zaragoza”) during the Spanish Civil War (1936–1939), considering the\norigins of the committee, its members’ provenance and its impact on the university library’s daily life and services.\nMethodology: analysis of books, the press and other associated documentary sources.\nResults: understanding the meaning, impact and structure of the Zaragoza Committee.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".