Syntactic and semantic constraints on pronoun and anaphor resolution in Persian
Bibliographic record
Abstract
Abstract This chapter investigates the mechanism of reference resolution for the colloquial pronoun un “(s)he” and the anaphor xod-eš “self-3 sg ” in Persian. The present analysis serves as another piece of evidence in support of the ‘multiple constraints’ framework for reference resolution advanced in Kaiser (2003) and Kaiser et al. (2009) , while also contributing to the relatively scant analyses of Persian reference resolution. In identifying the differences in sensitivity to constraints, though, we argue that xod-eš and un are fundamentally different in their binding behaviour. Regarding the semantic constraints, we observed that un is more sensitive to a perceiver bias than xod-eš . We further reinforce the bound nature of xod-eš with the observation that it requires a c-commanding antecedent. This, along with the observed tolerance for (syntactic) binding both within and beyond the local clause, motivates its comparison with the Korean caki and Chinese ziji “self”, both of which share these properties.
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How this classification was reachedexpand
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 | 0.006 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.017 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".