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Record W4387058223 · doi:10.33137/twpl.v45i1.41684

Nominal linkers in Tati

2023· article· en· W4387058223 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.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueToronto Working Papers in Linguistics · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics and Cultural Studies
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsAttributivePossessiveLinguisticsNounHead (geology)Variety (cybernetics)Noun phraseComputer scienceFocus (optics)Genitive caseNatural language processingArtificial intelligenceMathematicsPhilosophyPhysics

Abstract

fetched live from OpenAlex

This paper describes nominal constructions in the Takestani variety of Southern Tati (Northwestern Iranian). Noun phrases in Tati are head-final. The main focus in this chapter is on constructions involving a nominal linker known as Reverse Ezafe (Stilo 2004). This element appears in possessive and adpositional phrases as well as noun phrases modified by adjectives and nouns. We show that the Reverse Ezafe appearing with possessors and adpositions has different properties than the one appearing on attributive adjectives and nouns. We conclude that Reverse Ezafe in Tati involves two distinct morphosyntactic elements. This conclusion aligns with the pattern of Reverse Ezafe in other Reverse Ezafe languages (i.e., other Caspian languages, Balochi and Sangesari). In this chapter, we further address some of the morpho-phonological constraints on the form and distribution of Reverse Ezafe across the two types.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.975
Threshold uncertainty score0.935

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.046
GPT teacher head0.262
Teacher spread0.216 · 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