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Record W2148263898 · doi:10.1017/cbo9780511815065.008

Argument structure

2003· book-chapter· en· W2148263898 on OpenAlexaff
Lydia White

Bibliographic record

VenueCambridge University Press eBooks · 2003
Typebook-chapter
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsMcGill University
Fundersnot available
KeywordsArgument (complex analysis)Computer scienceBiology

Abstract

fetched live from OpenAlex

Argument structure In the previous chapter, the interface between morphology and syntax was considered, including the relationship between features of items drawn from the lexicon and abstract features in the syntactic representation. The present chapter explores other properties of the L2 lexicon, particularly the relationship between lexical semantics, argument structure and syntax. The concern is with how certain aspects of meaning (the semantic primitives by which word meanings can be expressed, the event types expressed by verbs, the thematic roles of arguments) are realized in syntax, as well as the morphological forms by which such meanings are expressed. Detailed investigation of L2 argument structure in the generative framework is relatively recent. In this chapter, the following issues will be discussed: (i) semantic constraints on argument-structure alternations; (ii) crosslinguistic differences in how semantic primitives may combine or conflate; (iii) thematic properties of arguments and how they are realized syntactically; (iv) the effects of morphology which adds or suppresses arguments. We begin with a consideration of the kind of information that is encoded in a lexical entry and how this information is mapped to the syntax. Lexical entries Lexical entries include distinct types of information, semantic and syntactic (e.g. Baker 1997; Grimshaw 1990; Hale and Keyser 1993; Jackendoff 1990; Levin and Rappaport-Hovav 1995; Pinker 1989). At one level, sometimes referred to as lexical conceptual structure (LCS) (Jackendoff 1983, 1990) or the thematic core (Pinker 1989), meaning is represented, particularly aspects of meaning that have consequences for other areas of the grammar.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: Other
Teacher disagreement score0.073
Threshold uncertainty score0.244

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0050.005
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0730.028

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 head0.188
Teacher spread0.164 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

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".

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Citations0
Published2003
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooksSame topicSyntax, Semantics, Linguistic VariationFrench-language works237,207