Nominalizations and the structure of progressives in Chuj Mayan
Why this work is in the frame
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Bibliographic record
Abstract
This paper investigates the structure of progressives and nominalizations in Chuj, an understudied Mayan language of Guatemala. Like many other Mayan languages, Chuj shows aspect-based split ergativity: the otherwise ergative head-marking pattern in the language disappears in the progressive aspect. In other Mayan languages—for example Ch’ol (Coon 2010; 2013) and Yucatec (Bricker 1981)—the appearance of a non-ergative pattern in the progressive has been attributed to nominalization. In Chuj, however, there is no clear morphological reflex of nominalization, as is found in other languages in the family. Using data from negation, particle placement, and agreement, we argue that Chuj progressives nonetheless involve an aspectual matrix predicate and a nominalized embedded verb. This provides a clear structural explanation for the split pattern. Finally, we distinguish different types of nominalizations in Chuj: those which are nominalized directly from a root, and those which are nominalized above verbal projections.
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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 | 0.000 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it