On the development of the tense/aspect system in Early New and New Persian
Bibliographic record
Abstract
The unique documentation of the Iranian family of languages provides a rare opportunity to study the development of a verbal system over the span of several millennia. We argue that the rise of the Early New Persian aspectual type was a consequence of the loss of ergative typology, examining the rise of continuous and progressive aspects, and further development in the retrospective aspect, most notably the appearance of the perfect continuous. Another section is devoted to the study of the rise of the innovative ‘become’-passive. In both sections we pay special attention to the appearance of New Persian surcomposé formations and we review their analysis in the context of a number of interesting parallels in other IE and non-IE languages, pointing out some avenues for further comparative research in this area (especially the trend of the perfect and its surcomposé formations to develop inferential meaning). To strengthen our argument, we look at diverging developments in several Khorasani dialects which recall the Early New Persian state of affairs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".