Nuevas consideraciones sobre el “hebraísmo” desmazalado/desmazelado en español y portugués
Bibliographic record
Abstract
El presente trabajo ofrece una revisión y actualización de la historia del adjetivo desmazalado/desmazelado en español y portugués. Para ello, en primer lugar, se resume las etimologías propuestas sobre esta voz, desde Covarrubias hasta llegar al hebraísmo mazzâl (‘estrella, suerte’). Después se documenta ampliamente su uso, tanto en poesía como en prosa didáctica, narrativa y teatro, y se contextualiza los casos registrados. Por último, la exploración del contacto lingüístico y del contexto cultural ayuda a explicar y comprender mejor el empleo de este “hebraísmo” en autores que estuvieron en contacto con hablantes de hebreo en una época concreta, desde principios del siglo XV hasta finales del siglo XVII.
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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 | 0.005 | 0.009 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".