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Record W2163275006 · doi:10.5539/ijel.v4n5p59

The Syntax and Cognitive Motivation of English It-Clefts

2014· article· en· W2163275006 on OpenAlexvenueno aff
Xu Wen, Zhengling Fu

Bibliographic record

VenueInternational Journal of English Linguistics · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsnot available
FundersFundamental Research Funds for the Central UniversitiesChina Postdoctoral Science Foundation
KeywordsLinguisticsSyntaxPronounCognitive linguisticsCognitionMeaning (existential)Function (biology)PsychologyPhilosophy

Abstract

fetched live from OpenAlex

English it-cleft is a constant topic in linguistic study. Previous work on it-clefts resided in their structural andfunctional aspects and neglected their cognitive basis. This paper is an attempt to consider the form and functionof it-clefts within the framework of Cognitive Linguistics. Most previous studies of it-clefts have paid noattention to the status of “it” and “copular be” which is generally believed to be dummy. Following the tenets ofCognitive Linguistics, every form has its own meaning or function. This paper argues that the function of “it” asa pronoun is relative to the cleft clause, which is modified by the clause. “Copular be” performs the function ofidentifying in it-clefts. The paper then uses the concepts of Recency Effect, figure-ground and grounding theoryto account for the information distribution, cognitive motivation of it-clefts.

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)0.439
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.816
Threshold uncertainty score0.566

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.439
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 head0.019
GPT teacher head0.252
Teacher spread0.233 · 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 designTheoretical or conceptual
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

Citations0
Published2014
Admission routes1
Has abstractyes

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