Estás burdas de loco y trabajas burda. Un "nuevo" cuantificador en el español de Venezuela
Bibliographic record
Abstract
El presente trabajo se centra en la descripción de burda (de), forma propia del español actual de Venezuela, con un valor cuantificador e intensificador cercano a ‘muy, en cantidad, demasiado’. El primer objetivo es la comprobación de su estatuto adjetival y adverbial, así como las clases de palabras que puede acompañar. Los resultados permiten constatar que las estructuras más frecuentes son burda de + A (burda de dulce) y burda de + N (burda de esfuerzo), antecedidas por los verbos ser, tener y estar. En menor medida, burda deprecede a adverbios de tiempo, lugar y manera (burda de mal). Por otro lado, la construcción burda (‘mucho’) sirve como intensificador verbal (se tardan burda) y adjetival, con un valor cercano a ‘muy’ pero en posposición (pana burda). Después, se intenta descifrar su origen y proceso de gramaticalización. Constatado que su empleo no se restringe solo al ámbito del lenguaje juvenil, se concluye que burda (de) es un marcador de origen, es decir una forma vernácula que contribuiría a definir la identidad “nacional” del hablante.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".