Bibliographic record
Abstract
Tesoro lexico de las hablas andaluzas es un repertorio acumulativo donde estan todas las voces utilizadas en Andalucia y que no figuran en el Diccionario de la Lengua Espanola de la Real Academia Espanola, salvo las que esta registra como propias de la region. Para su realizacion se han utilizado ciento veinte fuentes diferentes, y de toda indole. Estas fuentes -algunas de ellas ineditas y otras de dificilisimo acceso- van desde los glosarios generales de la region hasta los mas especificos de las distintas actividades (mineria, transporte fluvial de la madera, cultivo del olivo o de la vid, lexico cofradiero, artesania popular, explotacion de las salinas, pesca, marineria, etc.) o localidades, asi como otras fuentes de distinto ambito en las que el lexico andaluz es solo una parte, a veces minima, o no presentan los materiales como un vocabulario, entre ellos los atlas linguisticos que tratan de la region. Este repertorio va dirigido a investigadores y profesores de Filologia, asi como antropologos, naturalistas que quieran identificar flora y fauna (los nombres vulgares van acompanados de la nomenclatura cientifica), y personas cultas interesadas en la lengua y cultura andaluzas, periodistas, y cualquier usuario de la lengua, entre los que no se olvidan los propios andaluces, que veran reflejada en esta obra su habla y parte de su ser.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.004 |
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".