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Record W2171779154 · doi:10.1017/s1360674314000331

A construction grammar analysis of the transitive<i>be</i>perfect in present-day Canadian English

2015· article· en· W2171779154 on OpenAlexaboutno aff
Yuri Yerastov

Bibliographic record

VenueEnglish Language and Linguistics · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsnot available
Fundersnot available
KeywordsTransitive relationSubcategorizationLinguisticsConstruction grammarGenerative grammarContext (archaeology)GrammarArgument (complex analysis)Realization (probability)Computer sciencePerspective (graphical)SociologyMathematicsPhilosophyHistoryArtificial intelligenceCombinatorics

Abstract

fetched live from OpenAlex

This article offers a syntactic analysis of the construction [ be done NP], e.g. I am done dinner, I am finished my homework , as found in Canadian English and some US dialects. After situating this construction in the context of a productive transitive be perfect in Scots/English dialects, [ be done NP] will be distinguished from a set of its conceptual and structural relatives, and ultimately be shown not to be reducible to a surface realization of another underlying structure. From the perspective of syntactic theory, the article problematizes the parsimony of the mainstream generative approach (most recently in MacFadden &amp; Alexiadou 2010) in accounting for the facts of [ be done NP] on strictly compositional grounds, as well as the mainstream view of lexical items as projecting theta grids and subcategorization frames (as e.g. in Grimshaw 1979; Emonds 2000). Following Fillmore et al. (1988), Goldberg (1995, 2005) and others, what will be suggested instead is a construction grammar approach to [ be done NP], under which a construction holistically licenses its argument structure. Along these lines [ be done NP] will be characterized as an abstract construction with some fixed material.

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)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.377
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.012
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 head0.016
GPT teacher head0.221
Teacher spread0.205 · 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.

Study designQualitative
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

Citations8
Published2015
Admission routes1
Has abstractyes

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