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Record W2085986932 · doi:10.1017/s0305000910000140

Prelinguistic predictors of language development in children with autism spectrum disorders over four–five years

2010· article· en· W2085986932 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

VenueJournal of Child Language · 2010
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsGesturePsychologyComprehensionLanguage developmentAutismAffect (linguistics)Developmental psychologyLanguage productionLanguage acquisitionJoint attentionCognitionLinguisticsCommunication

Abstract

fetched live from OpenAlex

This study examined relationships between prelinguistic variables from the MacArthur-Bates CDI and the development of language comprehension and production in children with autism. Forty-four children were assessed at baseline and 6, 12, 24, 33 and 53 months later. Growth Curve Modeling was used to examine the extent to which three composite CDI variables and three CDI item groupings predicted language development over 4-5 years. When examined individually, prespeech and early gestures were significant predictors of change for both comprehension and production, but late gestures were not. In addition, initiating joint attention and games and routines predicted comprehension and production over 4-5 years, and conventional gestures also predicted production. When all factors were considered simultaneously, children's ability to participate in games and routines was the only significant predictor of language production over time. The results are discussed with regard to their implications for understanding the complex factors that affect developmental outcomes.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
Threshold uncertainty score0.671

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.005
GPT teacher head0.244
Teacher spread0.240 · 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