Di-transitive Constructions in Persian Based on the Minimalist Program
Why this work is in the frame
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Bibliographic record
Abstract
<p>This article studies the structure of double-object constructions, a challenging structure in Persian, based on Bowers’ (1993, 2001) minimalist approach. The major goal here is to evaluate the effectiveness of Bowers’ approach in analyzing such constructions. First, we reviewed the Persian grammarians’ analyses of transitivity and the continuity of the transitive system which claims that there are verbs with one object at one side of this continuum and verbs with two objects at the other side. Based on this analysis, transitivity differs from verb to verb. In other words, di-transitive verbs are more transitive than other verbs because they have to get two objects so that the omission of one of these objects makes the construction ungrammatical. In this study we used Bowers’ approach (1993, 2001), i.e., double predication phrase design, to analyze the above mentioned structures in Persian. Later the sequence of the direct-indirect object was identified to be the unmarked grammatical sequence in Persian based on native speakers’ language intuition.</p>
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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 | 0.060 |
| 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