Properties of adult and adolescent mothers' speech, children's verbal performance and cognitive development in different socioeconomic groups: a longitudinal study
Bibliographic record
Abstract
The research analysed longitudinally the properties of maternal utterances and their relation with child's language and cognitive development. The sample consisted of 125 mother-child dyads divided in three groups: 32 adolescent mothers, 54 adult mothers of low socioeconomic status (LSES), and 39 adult mothers of middle socioeconomic status (MSES). The form and function of each mother's utterances to her child at 18, 30 and 36 months of age were evaluated during a free-play session in the laboratory. Results showed differences between the three groups in the properties of maternal utterances. Adolescent and adult LSES mothers used more utterances that controlled or directed what the child was doing, and fewer utterances that informed or questioned the child. During their second and third year of life, children from the MSES group obtained higher scores than children of adolescent and adult LSES mothers on measures of language and cognitive development. Multiple regression analysis revealed that the forms and functions of maternal utterances were important predictors of child development. Most importantly, the forms and functions of maternal utterances from 18 to 36 months explained 45% of the variance in the children's score on the Stanford-Binet.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".