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Record W4225297930 · doi:10.1075/tsl.134.14hel

Events of caused accompanied motion in Qaqet and Dëne Sųłıné child language corpora

2022· book-chapter· en· W4225297930 on OpenAlexaboutno aff
Birgit Hellwig, Dagmar Jung

Bibliographic record

VenueTypological studies in language · 2022
Typebook-chapter
Languageen
FieldPsychology
TopicCategorization, perception, and language
Canadian institutionsnot available
Fundersnot available
KeywordsMotion (physics)LinguisticsExpression (computer science)Verb phrasePhraseVerbComputer scienceCommunicationPsychologyArtificial intelligenceProgramming languagePhilosophyNoun phrase

Abstract

fetched live from OpenAlex

Abstract This chapter investigates the expression of directed caused accompanied motion (directed CAM) events in child language corpora of Qaqet (a Papuan language of Papua New Guinea) and Dëne Sųłıné (a Dene language of Canada). Both languages employ complex CAM expressions. The chapter briefly introduces the constructions, and then focuses on the expression of directed CAM events in child language and child-directed language. In both languages, the CAM construction appears late in child language: early Qaqet expressions consist predominantly of ground phrase elements, while early Dëne Sųłıné expressions consist predominantly of bare verb stems. The findings are related to a proposal by Slobin et al. (2010) on early expressions of caused motion in satellite-framed languages.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.064
GPT teacher head0.360
Teacher spread0.296 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2022
Admission routes1
Has abstractyes

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