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Record W2488142533 · doi:10.1017/s000841310001793x

On<i>Wh</i>-questions in Persian

2001· article· en· W2488142533 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

VenueThe Canadian Journal of Linguistics / La revue canadienne de linguistique · 2001
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLinguisticsFocus (optics)PersianEllipsis (linguistics)Movement (music)SyntaxCroatianTypologyPhraseFeature (linguistics)PsychologyHistoryPhilosophy

Abstract

fetched live from OpenAlex

Abstract This article explores wh -questions in Persian and examines how the “clausal typing hypothesis” and the “focus-fronting analysis” fare with respect to Persian wh -questions. It is shown that Persian wh -questions involve obligatory movement of wh -phrases to a preverbal focus position. This movement is different from syntactic wh -movement in that it does not involve movement of the wh -phrase to [Spec, CP], whose trigger is a [+wh] feature in C. Thus, in terms of the typology of wh -questions, Persian is neither a syntactic wh -movement nor a wh -in-situ language; rather, it should be classified with languages such as Aghem, Basque, Hungarian, Kirundi, and Serbo-Croatian, in which wh -phrases have been argued to undergo focus movement. It is shown that Persian does not seem to share the properties of Serbo-Croatian, another focus-fronting language. Some possible explanations are provided and the theoretical implications are discussed.

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)0.002
metaresearch head score (Gemma)0.049
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
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 score0.642
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.049
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.019
GPT teacher head0.232
Teacher spread0.212 · 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