Left-peripheral arguments and discourse interface strategies in Yucatec Maya
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Constituents in the left periphery are often assumed to bear information structural functions such as topic and focus. Yucatec Maya provides the empirical basis for a challenging case study in this respect, since it provides a distinction between a sentence-initial position that is characterized by a series of enclitics and is labeled ‘topic position’, and an immediately preverbal position that is labeled ‘focus position’. This paper addresses the issue where do the interpretational properties of the left peripheral constituents come from and considers two alternative hypotheses: (a) the left peripheral constituents occupy the Specifier positions of functional projections that bear information structural features such as ‘topic’ and ‘focus’ and (b) the syntactic positions in the left periphery are underspecified with respect to information structure. The data presented in this paper support the view of hypothesis (b) and show that the interpretational properties of the left peripheral positions can be accounted for through the interaction of discourse principles that are independent from syntax with the properties of prosodic phrasing, that indirectly refer to constituent structure.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.000 |
| 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