Sobre la combinación de demasiado con otros cuantificadores evaluativos en español actual
Bibliographic record
Abstract
Este trabajo gramatical, de corte descriptivo e interpretativo, se centra en las posibles combinaciones de demasiado con los cuantificadores evaluativos mucho, bastante y demasiado en español coloquial actual, construcciones que se escapan de la norma estándar y que contrastan con la combinación demasiado poco, que sí es normativa. La revisión de los ejemplos obtenidos, procedentes de varios corpus lingüísticos y de la red social Twitter, permite un primer análisis de estos usos al igual que hace posible comprobar que estas combinaciones de cuantificadores siguen la escala de mayor a menor cantidad o grado. Las diferencias con respecto a la norma estándar vendrían de la materialización diferente en cada caso particular.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".