Bibliographic record
Abstract
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.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
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".