Emotion knowledge, emotion regulation, and psychosocial adjustment in children with nonverbal learning disabilities
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
Nonverbal learning disability is a childhood disorder with basic neuropsychological deficits in visuospatial processing and psychomotor coordination, and secondary impairments in academic and social-emotional functioning. This study examines emotion recognition, understanding, and regulation in a clinic-referred group of young children with nonverbal learning disabilities (NLD). These processes have been shown to be related to social competence and psychological adjustment in typically developing (TD) children. Psychosocial adjustment and social skills are also examined for this young group, and for a clinic-referred group of older children with NLD. The young children with NLD scored lower than the TD comparison group on tasks assessing recognition of happy and sad facial expressions and tasks assessing understanding of how emotions work. Children with NLD were also rated as having less adaptive regulation of their emotions. For both young and older children with NLD, internalizing and externalizing problem scales were rated higher than for the TD comparison groups, and the means of the internalizing, attention, and social problem scales were found to fall within clinically concerning ranges. Measures of attention and nonverbal intelligence did not account for the relationship between NLD and Social Problems. Social skills and NLD membership share mostly overlapping variance in accounting for internalizing problems across the sample. The results are discussed within a framework wherein social cognitive deficits, including emotion processes, have a negative impact on social competence, leading to clinically concerning levels of depression and withdrawal in this population.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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