How Referential Gestures Align With Speech: Evidence From Monolingual and Bilingual Speakers
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".