Split noun phrase topicalization in Eshkevarat Gilaki
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
Abstract Split noun phrase topicalization has been the subject of intense studies across languages in the syntactic literature of the last few decades. One of the key questions raised for these constructions is whether they involve syntactic movement or base-generation. This paper explores this phenomenon in two understudied Iranian languages, Gilaki (Northwestern Iranian, Caspien) and Persian. In particular, we explore splits in two contexts, possessive constructions and numeral constructions. We develop diagnostics for distinguishing the two derivational possibilities, movement or base-generation, for the cases under investigation. We show that while Gilaki uses both derivational possibilities, movement in possessor split and base-generation in numeral split, Persian only allows for the latter with very similar behavior. We argue that possessor split occurs when the whole possessum DP/DemP moves out of its base position in a small clause. Numeral split occurs when the NP is replaced by a null nominal element, which is associated with an overt or pragmatic antecedent. We end the paper with a discussion of why an operation, movement or base-generation, is available for one construction but not the other.
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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 | 0.001 | 0.006 |
| 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) | 0.003 | 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 it