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Record W4410122768 · doi:10.3765/sp.18.4

Existential free choice items: The case of Farsi yek -i DPs

2025· article· en· W4410122768 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

VenueSemantics and Pragmatics · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicAncient Near East History
Canadian institutionsMcGill University
Fundersnot available
KeywordsLinguisticsExistentialismNatural language processingComputer sciencePsychologyArtificial intelligenceMathematicsPhilosophy

Abstract

fetched live from OpenAlex

Existential Free Choice Items (EFCIs) are interpreted as existential quantifiers in downward entailing contexts, but contribute stronger truth conditions when embedded under modals. When unembedded, their behavior differs: while Romanian vreun is ungrammatical (Fălăuş 2014), other EFCIs are grammatical and convey modality (Alonso-Ovalle & Menéndez-Benito 2015b). Farsi yek -i DPs instantiate a new profile: they pattern with other EFCIs in downward entailing and modal contexts, but differ in unembedded contexts, where they are grammatical, but do not convey modality. The paper derives this profile within an alternative- and exhaustification-based analysis of EFCIs (Chierchia 2013). Under this framework, EFCIs introduce two types of alternatives: scalar and (pre-exhaustified) domain alternatives. The behavior of yek -i DPs argues for the independence of the two types of alternatives and the splitting of scalar and domain exhaustification. EARLY ACCESS

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.930
Threshold uncertainty score0.280

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 head0.017
GPT teacher head0.240
Teacher spread0.223 · 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