The Detection and Monitoring of Comprehension Errors by Preschool Children With and Without Language Impairment
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: In this study, the authors examined emerging comprehension monitoring, including error detection, evaluation, and correction within the context of story understanding in preschool children with and without language impairment. METHOD: Thirty-seven children between the ages of 30 and 61 months completed an online comprehension monitoring task. There were 3 groups: 10 children with language impairment, 13 typically developing children who were matched for age, and 14 typically developing children who were matched for receptive vocabulary. RESULTS: Analyses of variance revealed that children with language impairment attained significantly lower scores on the comprehension monitoring task than both age-matched and language-matched groups. CONCLUSION: The skills underlying successful comprehension monitoring that may be affected in young children with language impairment are discussed.
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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 | 0.001 | 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) | 0.000 | 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 it