Inferential Comprehension Abilities in French-Speaking Preschoolers Exposed to Neglect in the Early Longitudinal Language and Neglect Study
Bibliographic record
Abstract
Purpose: Using a longitudinal design, this study aimed to describe inferential comprehension abilities of neglected French-speaking preschool children from 42 to 66 months of age in comparison to non-neglected peers, to examine the association with receptive vocabulary, and to determine whether rates of change in inferential abilities over time was stable between the two group conditions. Method: An inferential comprehension task and the French version of the Peabody Picture Vocabulary Test–Fourth Edition were administered to a group of neglected children ( n = 37–40) and to a group of same-age non-neglected children ( n = 71–91) at 42, 54, and 66 months old, as part of the Early Longitudinal Language and Neglect study. Results: Results show that children exposed to neglect obtain significantly lower scores compared to their same-age peers on inferential comprehension and receptive vocabulary measures at all three time points ( p < .001) with large to very large effect sizes and indicate moderate to strong correlations between the two variables. Children from the neglected group present difficulties in inferencing compared to same-age non-neglected peers, a disadvantage that remains stable over time. Conclusions: This study demonstrates the significant gap in inferential comprehension abilities between neglected and non-neglected preschool children. These results reiterate the importance of early detection of language comprehension difficulties in young children coming from vulnerable environments.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".