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Record W2480346591 · doi:10.1075/tsl.76.05bou

On the grammaticalization of 'come' and 'go' into markers of textual connectivity

2008· book-chapter· en· W2480346591 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 · 2008
Typebook-chapter
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsYork University
Fundersnot available
KeywordsGrammaticalizationSerializationLinguisticsCline (biology)Computer scienceHistoryPhilosophySociology

Abstract

fetched live from OpenAlex

There is crosslinguistic evidence that verbs of ‘coming’ and ‘going’ are prone to grammaticalize into sequential markers and, more generally, into textual connectives. This paper shows how, in the grammaticalization cline from directional deictics to sequentials, some of these markers have preserved their original semantics to varying degrees, while others have developed further into markers of past tense. The grammaticalization of ‘come’ and ‘go’ into markers of textual connectivity also exhibits a wide range of morphosyntactic variation: while in some languages they have retained all their formal verbal characteristics, in others they have become affixes, have followed the auxiliation or the serialization routes, or have fossilized. Three potential triggers for grammaticalization are discussed in the paper: the role of deicticity, the iteration hypothesis and the futurity scenario.

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)0.003
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: none
Teacher disagreement score0.813
Threshold uncertainty score0.812

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.062
GPT teacher head0.285
Teacher spread0.224 · 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