Tres tipos de cuantificadores en Chuj de San Mateo Ixtatán
Bibliographic record
Abstract
Este trabajo proporcionamos una descripción y análisis sintáctico de diferentes tipos de cuantificadores en Chuj. Analizamos un subconjunto de expresiones que cuantifican sobre entidades y que suelen aparecer en la posición inicial de oración. Proponemos que deben distinguirse tres tipos de cuantificadores: (i) predicativos, que aparecen de manera obligatoria en posición inicial de la oración porque el Chuj es una lengua de predicado inicial; (ii) de foco, que son determinantes especificados lexicalmente con un rasgo de enfoque, causando que las frases nominales a las cuales cuantifican aparezcan en la periferia izquierda; y (iii) básicos, que son determinantes que carecen del rasgo de enfoque, y entonces no hay efectos sobre la posición sintáctica de los argumentos a los cuales cuantifican.
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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 | 0.003 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".