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Record W4398168721 · doi:10.1075/cld.00048.new

Mandarin posture verbs

2024· article· en· W4398168721 on OpenAlex
John Newman, Ying Zhang

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

VenueChinese Language and Discourse An International and Interdisciplinary Journal · 2024
Typearticle
Languageen
FieldPsychology
TopicCategorization, perception, and language
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMandarin ChineseLinguisticsPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Abstract Posture verbs have attracted considerable interest within Cognitive Linguistics. This study continues this line of research by investigating usage-based patterns associated with these verbs when used in their literal posture senses. The data for the study comes from the Lancaster Corpus of Mandarin Chinese and the CALLHOME Mandarin Corpus. We investigate the frequencies and distributions of the Mandarin posture verbs 坐 zuò ‘sit’, 站 zhàn ‘stand’, and 躺 tǎng ‘lie’ in four construction types: directional constructions, aspectual suffixes, serial verb constructions, and locative constructions. The analysis confirms the primacy of zuò, zhàn , and tǎng and, among other results, reveals a significant absence of locative phrases with the dynamic forms of the verbs as used with directionals.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.715
Threshold uncertainty score0.996

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 studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.008
GPT teacher head0.384
Teacher spread0.376 · 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