Communicative Function Use of Preschoolers and Mothers From Differing Racial and Socioeconomic Groups
Bibliographic record
Abstract
Purpose: This study explores whether communicative function (CF: reasons for communicating) use differs by socioeconomic status (SES), race/ethnicity, or gender among preschoolers and their mothers. Method: Mother-preschooler dyads (N = 95) from the National Center for Early Development and Learning's (2005) study of family and social environments were observed during 1 structured learning and free-play interaction. CFs were coded by trained independent raters. Results: Children used all CFs at similar rates, but those from low SES homes produced fewer utterances and less reasoning, whereas boys used less self-maintaining and more predicting. African American mothers produced more directing and less responding than European American and Latino American mothers, and Latino American mothers produced more utterances than European American mothers. Mothers from low SES homes did more directing and less responding. Conclusions: Mothers exhibited more sociocultural differences in CFs than children; this suggests that maternal demographic characteristics may influence CF production more than child demographics at school entry. Children from low SES homes talking less and boys producing less self-maintaining coincided with patterns previously detected in pragmatic literature. Overall, preschoolers from racial/ethnic minority and low SES homes were not less deft with CF usage, which may inform how their pragmatic skills are described. Supplemental Material: https://doi.org/10.23641/asha.5890255.
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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 | 0.000 | 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) | 0.002 | 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".