España y Portugal frente a la lengua árabe: Motivaciones para el estudio del árabe en tres gramáticas del siglo XVIII
Bibliographic record
Abstract
The combination of two tendencies of linguistic studies in the 18 th century - the historicist peak on the one hand and the interest for foreign tongues on the other - brought about, in the case of the Iberian Peninsula, the development of the study of the Arabic language. In this way this epic saw the publication, both in Spain and in Portugal, of various methods for learning whose prologues become authentic apologias in which numerous motivations justifying the study of Arabic are included. The present paper seeks to analyse the arguments which, during the last quarter of the 18 th century, a series of Spanish and Portuguese scholars contributed in the prologues of their grammars. One includes not only the intrinsic and extrinsic reasons these scholars gave in the justification of their ideas, but also emphasises the existing similarities in the three works, which is the result, no doubt, of the shared historical and cultural situation present in both countries.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".