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Record W2119655537 · doi:10.1075/dia.24.1.03est

On the development of the tense/aspect system in Early New and New Persian

2007· article· en· W2119655537 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDiachronica · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics and language evolution
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsErgative caseLinguisticsPersianTypologyContext (archaeology)Argument (complex analysis)HistoryParallelsMeaning (existential)DocumentationLiteratureComputer scienceEpistemologyPhilosophyMathematicsArtEngineering

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.896
Threshold uncertainty score0.480

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.217
Teacher spread0.191 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it