MétaCan
Menu
Back to cohort
Record W4380684859 · doi:10.1111/synt.12256

Agree and the subjects of specificational clauses

2023· article· en· W4380684859 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.

Bibliographic record

VenueSyntax · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of CambridgeWilfrid Laurier UniversityUniversity of Illinois at Urbana-ChampaignUniversity of TorontoUniversity of OxfordMcMaster University
KeywordsNoun phraseSubject (documents)LinguisticsFeature (linguistics)AgreementModalComputer sciencePhraseDependent clauseNon-finite clauseNounSet (abstract data type)Simple (philosophy)Natural language processingMathematicsPhilosophySentenceProgramming language

Abstract

fetched live from OpenAlex

Abstract This article investigates agreement in Persian sentences with a specificational copular clause embedded under the epistemic modal tavānestan ‘can’. We argue that this structure is a raising structure. It exhibits agreement on both the embedded and modal verbs. Crucially, while the subject fails to control agreement in the embedded clause, it successfully controls agreement on the modal. We argue that the subject's failure to form an Agree relation in the embedded specificational clause is due to its defective feature structure, resulting in agreement with the lower noun phrase instead, this being an accessible goal as well. In the matrix clause, the lower noun phrase is inaccessible, due to the presence of an intervening domain boundary. This triggers probe reduction, a process that impoverishes the feature structure of the probe, expanding the set of possible goals to include the subject. We extend this analysis to subject agreement in simple specificational clauses in languages like English.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.160
Threshold uncertainty score0.531

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 head0.042
GPT teacher head0.242
Teacher spread0.200 · 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