Learning to contend with accents in infancy: Benefits of brief speaker exposure.
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.
Bibliographic record
Abstract
Although adults rapidly adjust to accented speakers' pronunciation of words, young children appear to struggle when confronted with unfamiliar variants of their native language (e.g., American English-learning 15-month-olds cannot recognize familiar words spoken in Jamaican English; Best et al., 2009). It is currently unclear, however, why this is the case, or how infants overcome this apparent inability. Here, we begin to address these crucial questions. Experiments 1 and 2 confirm with a new population that infants are initially unable to recognize familiar words produced in unfamiliar accents. That is, Canadian English-learning infants cannot recognize familiar words spoken in Australian English until they near their second birthday. However, Experiments 3 and 4 show that this early inability to recognize accented words can readily be overcome when infants are exposed to a story read in the unfamiliar accent prior to test. Importantly, this adaptation only occurs when the story is highly familiar, consistent with the idea that top-down lexical feedback may enable the adaptation process. We conclude that infants, like adults, have the cognitive capacity to rapidly deduce the mapping between their own and an unfamiliar variant of their native language. Thus, the essential machinery underlying spoken language communication is in place much earlier than previous studies have suggested.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it