Differences in Established Joint Attention in Hearing-Hearing and Hearing-Deaf Mother-Child Dyads: Associations With Social Competence, Settings, and Tasks
Bibliographic record
Abstract
Abstract The authors examined relations among observed joint attention, maternal report of child’s social competence, setting (home vs. laboratory), task (unstructured vs. semi-structured), and dyad type [hearing mother–hearing child (n = 55, Mage = 25.8 months) vs. hearing mother–deaf child (n = 27, Mage = 26.9 months)]. Hearing child dyads scored higher on joint attention during unstructured tasks, especially in their home environment. Hearing child dyads displayed similar joint attention to deaf toddler dyads when they engaged in a semi-structured task, but higher on these measures during unstructured free play. Unlike hearing children, joint attention was differentially related to social competence in deaf children, with relatively higher versus lower social competence depending on relatively high versus low observed joint attention, respectively.
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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 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".