Nueva documentación cancilleresca de Aragón y de Navarra para el Atlas histórico del español (AHE)
Bibliographic record
Abstract
El proyecto de investigación Atlas histórico del español: morfosintaxis (AHE), dirigido por Andrés Enrique-Arias, ha detectado que el Corpus de documentos españoles anteriores a 1900 (CODEA+ 2022) −corpus del que se nutre el AHE− presentaba, por diversos motivos, una carencia de documentación cancilleresca procedente de Aragón y de Navarra de los siglos XIII-XVI. Este trabajo expone cómo se ha realizado la labor de ampliación de las fuentes para dar cuenta de dos características fundamentales de los corpus: la representatividad (Kabatek 2013) y la comparabilidad (Enrique-Arias 2012) de los resultados obtenidos para Navarra y Aragón en el conjunto de las lenguas y dialectos peninsulares. De este modo, el propósito de este artículo es triple: 1) dar a conocer los criterios cualitativos y cuantitativos que se han tenido en cuenta a la hora de seleccionar la documentación para garantizar la mayor representatividad y comparabilidad posible; 2) mostrar algunos problemas metodológicos que presentan todos los textos que emanan de las Cancillerías reales y 3) describir la selección documental.
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How this classification was reachedexpand
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".