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Record W4200138917 · doi:10.1017/cnj.2021.32

Definiteness in Laki: Its interaction with demonstratives and number

2021· article· en· W4200138917 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 · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDefinitenessDeixisLinguisticsDivergence (linguistics)Feature (linguistics)MathematicsRelation (database)Computer sciencePhilosophy

Abstract

fetched live from OpenAlex

Abstract This article investigates definiteness and its interactions with demonstratives and number in Laki (Northwestern Iranian). By the examination of demonstratives and building upon previous proposals, I argue for two types of definite DPs in Laki, namely anaphoric and deictic. I show that the patterns of definite and number marking are sensitive to the type of the DP. In particular, I argue that double definiteness, resulting from an Agree relation between D and N, and head movement of Num to D both are obtained only in anaphoric definite DPs for feature-checking requirements. Overall, this study highlights the contributions of anaphoricity to the DP internal structure. The present proposal can account for similar phenomena in other Iranian languages (i.e., Sorani and Kermanshahi Kurdish). The divergence of Laki definiteness from similar attested patterns (i.e., Scandinavian double definiteness) contributes to our cross-linguistic understanding of definiteness and its interactions with other nominal elements.

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)0.001
metaresearch head score (Gemma)0.022
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.882
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.022
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 integrity0.0000.001
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 head0.024
GPT teacher head0.241
Teacher spread0.218 · 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