Navigating Accent Variation: A Developmental Perspective
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
Adult processing of other-accented speech is fast, dependent on lexical access, and readily generalizable to new words. But what does children's processing of other-accented speech look like? Although many acquisition researchers have emphasized how other-accented speech presents a formidable challenge to young children, we argue that the field has perhaps underestimated children's early accent processing abilities. In support of this view, we present evidence that 2-year-olds’ accent processing abilities appear to be in many respects adult-like, and discuss the growing literature on children's ability to cope with multi-accent input in the natural world. We outline different theoretical outlooks on the transition children make from infancy to later childhood, and discuss how the growing sophistication of infants’ accent processing abilities feeds into their social perception of the world (and perhaps vice versa). We also argue that efficient processing and meaningful interpretation of accent variation are fundamental to human cognition, and that early proficiency with accent variation (along with all of the implied representational and learning capacities) is difficult to explain without assuming the early emergence of abstract speech representations.
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 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 | 0.007 |
| 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 | 0.000 |
| 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