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Record W3195257628 · doi:10.1111/synt.12219

The <i>Done</i>‐State Derived Stative: A Case Study in Building Complex Eventualities in Syntax

2021· article· en· W3195257628 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

VenueSyntax · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsMcMaster University
Fundersnot available
KeywordsTransitive relationSyntaxParticipleLinguisticsSemantics (computer science)Computer scienceMeaning (existential)Interpretation (philosophy)State (computer science)Object (grammar)CausativeGrammarVerbNatural language processingMathematicsPsychologyProgramming languagePhilosophy

Abstract

fetched live from OpenAlex

Abstract A basic question for theories of the syntax–semantics interface is whether the relationship between the form and meaning of complex aspectual expressions is mediated by the pieces that make up hierarchical syntax or whether complex forms and their meanings can pair directly, in templatic or constructional representations, for example. This paper examines the string I’m done writing chapter 3 with this issue in mind. The (be) done V‐ing structure does not seem to have been analyzed before, and I refer to it as the done state. The done state expresses a complex stative eventuality. Notably, the transitive object of the done state can hold a target state, an unexpected interpretation given the ‐ing verb (contrast I’ve been writing chapter 3 ). Apparent form–meaning mismatches of this type are regularly taken as evidence for listed, constructional mappings. I show, however, that the done state has the syntactic pieces of a stative passive of a present participle, and I argue that the done state is a previously unnoticed type of derived stative. The analysis provides a compositional account of the structure’s semantics and morphology. I further argue that the syntactic items that make up the done state have the same properties that they have elsewhere in the grammar; there is no need to postulate new grammatical objects. The predictable properties of the done state find explanation in models in which complex eventualities are built up out of the minimal units that make up complex phrases.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.284
Threshold uncertainty score0.977

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 studies0.0010.000
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 head0.059
GPT teacher head0.305
Teacher spread0.247 · 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