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The Autonomy of Sentences with Substantive Predicates in Chinese

2011· article· en· W1852962484 on OpenAlexvenueno aff
Zhang Ai-pu

Bibliographic record

VenueCross-cultural communication · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Linguistics and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophyPredicate (mathematical logic)LinguisticsHumanitiesGrammarWord orderComputer science

Abstract

fetched live from OpenAlex

Sentences with substantive predicates (SSP), or nominal sentences as Otto Jespersen once called, are common in Chinese. Monographs and textbooks dealing with Chinese grammar have regarded SSP as an important grammatical item. But why can substantives act as predicate? Why cannot two substantives or nominal expressions in principle cannot appear freely in the same SSP. In other words, why is the word order relatively stable and cannot be altered? This paper is an attempt to expound and prove those issues, i.e. the autonomy of SSP. Key words: Substantive predicate; Autonomy; Substantives; NatureResume: Les phrases avec des predicats substantifs (PPS), ou les phrases nominales comme appele une fois par Otto Jespersen, sont communes en chinois. Les monographies et des manuels qui traitent de la grammaire chinoise ont toujours considere les PPS comme un element grammatical important. Mais pourquoi les substantifs peuvent agir en tant que des predicats? Pourquoi deux substantifs ou des expressions nominales ne peuvent pas, en principe, apparaitre librement dans les memes PPS. En d'autres termes, pourquoi l'ordre des mots est relativement stable et ne peut pas etre modifie? Cet article est une tentative d'exposer et de prouver tous ces problemes, a savoir les problemes de l'autonomie des PPS.Mots-cles: predicats substantifs; autonomie; substantifs; nature

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.478
Threshold uncertainty score0.487

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.034
GPT teacher head0.285
Teacher spread0.251 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2011
Admission routes1
Has abstractyes

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