Grammatical processing in American Sign Language: Age of first-language acquisition effects in relation to syntactic structure
Bibliographic record
Abstract
Sentence processing in American Sign Language (ASL) was investigated as a function of age of first language acquisition with a timed grammatical judgement task. Participants were 30 adults who were born deaf and first exposed to a fully perceptible language between the ages of birth and 13 years. Stimuli were grammatical and ungrammatical examples of six ASL syntactic structures: simple, negative, agreement verb, wh-question, relative clause and classifier sentences. As delay in exposure to a first language increased, grammatical judgement accuracy decreased, independent of ASL syntactic structure. The signers were less accurate and responded more slowly to ungrammatical as compared with grammatical stimuli, especially the early and delayed first-language learners in comparison to the native learners. The results held across grammaticised facial expressions, signed markers and verb type. These results, in conjunction with previous findings, indicate that the onset of first language acquisition affects the ultimate outcome of syntactic knowledge for all subsequent language acquisition.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".