Use of cognitive state predicates by language‐impaired children
Bibliographic record
Abstract
Two studies of the use of cognitive state predicates by children with specific language impairment (SLI) were conducted. Study I analysed longitudinal language samples collected from 26 children with SLI and 25 children with normal language (NL) development, aged 4;4 and 2;11, respectively, at Time I. Study II analysed samples from SLI children with more severe delays at an earlier language stage. There were 10 SLI children and 10 NL children, aged 4;11 and 2;8, respectively, matched by MLU. All cognitive state predicates were identified using both broad and narrow definitions. In Study 1, the SLI children used cognitive state predicates less frequently than their mental age peers, and with no greater frequency or variety than their younger, language peers. In Study II, children with SLI used more predicates referring to communication events, but there were no further group differences. These findings are discussed as they relate to two current psycholinguistic issues: the possible dissociation of grammar and the lexicon, and the role of language in the development of children's theory of mind.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".