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Record W4414045277 · doi:10.16995/glossa.16317

Korean honorific agreement as the marginal requirement for syntactic finiteness

2025· article· en· W4414045277 on OpenAlexaff
Stanley Nam

Bibliographic record

VenueGlossa a journal of general linguistics · 2025
Typearticle
Languageen
FieldComputer Science
TopicLibrary Science and Information Systems
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAgreementHonorificGrammaticalityParticiple

Abstract

fetched live from OpenAlex

This is an accepted article with a DOI pre-assigned that is not yet published.This study argues that smaller-than-TP domains can be finite. This position contrasts with the conventional argument that finiteness of a clause is tied to T(ense), but it is in line with alternative proposals. The central claim is that subject-verb agreement is the minimum requirement for syntactic finiteness, defined as being syntactically opaque for cross-clausal operations. This argument is grounded on two key pillars: agreement features are in Hon(orific) P(hrase) in Korean, and HonP is located below TP. After introducing the two pillars, this study shows that HonP, rather than TP, is the smallest finite domain in Korean by analyzing two types of smaller-than-TP embeddings in Korean, HonP and vP. HonP acts as a finite domain in terms of blocking cross-clausal negative polarity item licensing and constituting a binding domain, but vP turns out to be transparent for these cross-clausal operations. I argue that vP is syntactically non-finite because it lacks agreement features. The observation in this study aligns with Turkish findings that a minimal projection with subject agreement is finite (Kornfilt 2007). In short, this paper provides additional evidence that subject agreement, regardless of T, is the determinant for the syntactic finiteness of a domain.

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.

How this classification was reachedexpand

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)0.001
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 score0.916
Threshold uncertainty score0.522

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.024
GPT teacher head0.284
Teacher spread0.260 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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