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Record W2143530232 · doi:10.1017/s0142716407070245

The effect of bilingualism on the use of manual gestures

2007· article· en· W2143530232 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

VenueApplied Psycholinguistics · 2007
Typearticle
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGesturePsychologyNeuroscience of multilingualismLinguisticsSpeech productionLanguage proficiencyCommunicationCognitive psychologyMathematics education

Abstract

fetched live from OpenAlex

Gestures are often used while speaking to aid in the speaker's packaging of the verbal message and/or to aid the listener in decoding the message. The ways in which bilinguals use gestures are reviewed in this article. Researchers have predicted that bilinguals' gesture use is related to bilinguals' language proficiency. However, no clear pattern of a link between proficiency and gesture use has been observed across studies, probably because gestures rarely compensate for weak language proficiency, functioning instead to facilitate speech production in both first and second language use. Researchers have reported bilinguals using language-specific gestures in the other language. In addition, bilinguals have been shown to use gestures at a higher rate than monolinguals. These results suggest that cross-linguistic transfer can apply to gestures, as well as to other linguistic units. In conclusion, gestures play an important role in accessing language in the process of speech production. This conclusion has implications for second-language teaching; teaching through gestures and speech might be more effective than teaching the spoken component alone.

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)0.002
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.857
Threshold uncertainty score0.306

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 integrity0.0000.000
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 head0.063
GPT teacher head0.381
Teacher spread0.318 · 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