Podcast Arabistas pioneras. Episodio 2: Joaquina Albarracín. 90 aniversario de la Escuela de Estudios Árabes
Bibliographic record
Abstract
La Escuela de Estudios Árabes fue inaugurada el 21 de noviembre de 1932 con el fin de profundizar en el conocimiento del pasado arabo-islámico de la Península Ibérica y en las relaciones con países arabófonos. Joaquina Albarracín estudia Filología 1942 y 1945, es, por tanto, una de las primeras investigadoras en formarse en la Escuela de Estudios Árabes. \nMás información en Del Moral, C. 2012. “Joaquina Albarracín, una vida dedicada al estudio y la investigación (1921-1911)”. Miscelánea de Estudios Árabes y Hebraicos. Sección Árabe e Islam. 61, 227-239. \nNos habla Montserrat Benítez Fernández, investigadora de la Escuela de Estudios Árabes, CSIC. Montserrat se dedica al estudio de la Dialectología árabe en el Norte de Marruecos con el fin de profundizar en la Historia de la Lengua árabe. Desearía descubrir parámetros de variación lingüística que predigan la evolución del cambio lingüístico en Marruecos.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.132 | 0.045 |
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".