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Record W2498205168 · doi:10.1075/tsl.84.02new

A cross-linguistic overview of 'eat' and 'drink'

2009· book-chapter· en· W2498205168 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

VenueTypological studies in language · 2009
Typebook-chapter
Languageen
FieldComputer Science
TopicLinguistic Studies and Language Acquisition
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsLinguisticsPsychologyAdvertisingBusinessPhilosophy

Abstract

fetched live from OpenAlex

This chapter provides an overview of the range of linguistic properties associated with ‘eat’ and ‘drink’ verbs across languages and serves as an introduction to the whole volume. The chapter covers the lexicalization of these concepts and the syntax associated with ‘eat’ and ‘drink’ constructions. Figurative extensions of ‘eat’ and ‘drink’ constructions are common, in some languages even prolific, and have their sources in the simultaneous but distinct aspects of the acts of eating and drinking: the sensation of the consumer while ingesting and the destruction or disappearance of the entity consumed. These dual aspects of ingestion are relevant, too, when it comes to motivating the atypical kinds of transitive constructions found with these verbs in some languages. Grammaticalizations of ‘eat’ and ‘drink’, though not particularly common, do occur and are also reviewed here.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.776
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.092
GPT teacher head0.382
Teacher spread0.290 · 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