Quality of interactions in ECE settings and mean length of utterances among 4-year-old neglected children: Results from the ELLAN Study
Why this work is in the frame
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Bibliographic record
Abstract
Language difficulties are frequently characterized by a significantly lower mean length of utterances (MLU) among children experiencing neglect. More opportunities to experience positive interactions, such as in early childhood education (ECE) settings, could help increase these children’s MLU. This study aims to examine the relationship between the quality of interactions within the group in ECE settings attended by children experiencing neglect and the presence of difficulties based on MLU (MLU-Ds). Eighteen (18) neglected (age = 48.26 months, standard deviation [ SD] = 0.37) and 86 non-neglected children (age = 48.07 months, SD = 0.24) participated in this study. To estimate the prevalence of difficulties, the MLU of all the participants was measured using a language sample. The Classroom Assessment Scoring System Pre-K was used to measure the quality of interactions in ECE settings attended by children experiencing neglect. Behavior Management ( p = .0072, adjusted R 2 = .47) and Concept Development ( p = .019, adjusted R 2 = .15) are associated with the MLU of neglected children presenting MLU-Ds. Although not statistically significant, the results obtained for the dimension of Regard for Child Perspectives ( p = .090, adjusted R 2 = .12) raise relevant trends to examine. This study highlights specific dimensions of quality of interactions that are associated with language skills of children experiencing neglect. It also supports the need to continue studies to have a more comprehensive portrait of this association.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it