The Role of Individual Differences in Attention and Working-Memory in Learning a Nonnative Phoneme Category
Bibliographic record
Abstract
Speech perception is characterized by categorical perception of phonemes.Certain speech sounds varying along the continuous acoustic dimension known as voice onset time (VOT) are perceived as either voiced /b/ or unvoiced /p/ phonemes by English listeners.A third VOT prevoiced /p h / phoneme category is used in Thai and is indistinct from the /b/ category in English.Some listeners can learn to perceive speech sounds belonging this third VOT category with a small amount of training.The cognitive mechanisms underlying the variation in individualsʼ ability to perceive the prevoiced /p h / phoneme are not well understood.The current experiment investigated the role of attention and working-memory in facilitating listeners' ability to learn to perceive the prevoiced /p h / phoneme.A consistent relationship between attentional and workingmemory measures and prevoiced perceptual learning was not found.Musical ability was a good predictor of performance on a prevoiced phoneme identification task.
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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 | 0.003 |
| 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 | 0.001 | 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 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".