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 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".