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Record W2973202414 · doi:10.1017/cnj.2019.22

On the role of person in the mapping of syntactic features onto their interpretable counterparts

2019· article· en· W2973202414 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

VenueThe Canadian Journal of Linguistics / La revue canadienne de linguistique · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSyntaxArgument (complex analysis)Feature (linguistics)LinguisticsSemantics (computer science)Representation (politics)Focus (optics)Word grammarGrammarSubject (documents)Computer sciencePsychologyNatural language processingArtificial intelligenceRelational grammarEmergent grammarPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Abstract Person features play a role in narrow-syntax processes. However, a person feature is often characterized as [±participant], a characterization that suggests pragmatic or semantic features. Relatedly, person has been the subject of an ongoing debate in the literature: one family of approaches argues that 3rd person is an elsewhere case, while another argues that it is a valued interpretable feature. This article provides a programatic argument that this disagreement has a principled basis. I argue that the representation of the features we identify as person changes between narrow syntax and the syntax-semantics interface. The tests and empirical descriptions are incongruent because they target different modules of the grammar and in turn different grammatical objects. The article thus contributes to our understanding of the division of labour among the modules, with a special focus on the autonomous status of narrow syntax.

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)0.003
metaresearch head score (Gemma)0.023
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
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 score0.590
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.023
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 science0.0010.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.205
Teacher spread0.191 · 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