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Record W2149104988 · doi:10.1080/01690960500139363

Grammatical processing in American Sign Language: Age of first-language acquisition effects in relation to syntactic structure

2005· article· en· W2149104988 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLanguage and Cognitive Processes · 2005
Typearticle
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsMcGill University
Fundersnot available
KeywordsLinguisticsSentenceAmerican Sign LanguageVerbAge of AcquisitionLanguage acquisitionComputer scienceGrammarPsychologySentence processingSign languageCognitionArtificial intelligence

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.821
Threshold uncertainty score0.562

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.317
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it