An Investigation into Verb Direction in English and Persian
Why this work is in the frame
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Bibliographic record
Abstract
This paper compares several types of verbs in English and Persian in terms of direction. The direction of verbs seems to be potentially problematic for the Iranian EFL learners. English verbs can be formed by affixation and compounding. Even proper names and names of animals and products can be used as simple verbs. Persian is poor in this respect, and most verbs are formed via a limited number of affixes or by the productive process of verb collocation. English verbs seem more flexible in switching to intransitive or transitive modes, while Persian requires morphological transformation. The use of prepositions with objects can pose problems for the Iranian EFL learners. In one language, the focus of the sentence is on the subject while in the other, emphasis is directed to the object. Adverbs and prepositional phrases can be inherently stored in the English verb, while Persian has to openly express them.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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