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Record W2969845259 · doi:10.1111/lang.12376

How Referential Gestures Align With Speech: Evidence From Monolingual and Bilingual Speakers

2019· article· en· W2969845259 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

VenueLanguage Learning · 2019
Typearticle
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGesturePsychologyLinguisticsCommunicationCognitive psychology

Abstract

fetched live from OpenAlex

Abstract When speaking, people often produce gestures that are closely timed with the speech with which they constitute a semantically coherent unit. Analyzing the temporal patterns between the two modalities may reveal insights about how speakers plan them. Using elicited narratives, we tested English/French monolinguals and bilinguals to check whether bilinguals, known to experience a higher degree of competition in lexical access, show a different pattern of gesture–speech alignment compared to that of monolinguals. Results revealed no difference in the temporal patterns between gestures and co‐semantic speech for the two language groups. Synchronous gestures were significantly more frequent than asynchronous ones; asynchronous gestures both preceded and followed the correlated speech, yet preceding gestures tended to occur more often. A qualitative analysis conducted for asynchronous gestures revealed that they may serve a rhetoric function. We argue that the variability in gesture–speech timing results from speakers’ strategic use of gesture.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.262
Threshold uncertainty score0.477

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.023
GPT teacher head0.299
Teacher spread0.276 · 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