Social Competence at 6 Months Following Childhood Traumatic Brain Injury
Bibliographic record
Abstract
Children with traumatic brain injury (TBI) are at risk for social impairment. This study aimed to examine social function at 6 months post-TBI and to explore the contribution of injury, cognitive, and environmental influences. The sample included 136 children, 93 survivors of TBI, and 43 healthy controls. TBI participants were recruited on admission and underwent magnetic resonance imaging scan within 8 weeks of injury and behavioral assessment at 6 months post-injury. Healthy controls underwent magnetic resonance imaging scans and behavioral assessment on recruitment. Assessment included parent and child questionnaires tapping social outcome and child-direct testing of cognitive abilities important for social competence (communication, attention/executive function, social cognition). Injury characteristics and environmental measures were collected. At 6-months post-injury, social problems were evident, but not global. Social participation appeared most vulnerable, with more severe injuries leading to greater problems. Greater injury severity and poorer communication skills were associated with poorer social adjustment and social participation, with the impact of family function also significant. Processing speed, younger age, and male gender also contributed to social outcomes. Further follow-up is required to track the recovery of social skills and the changing influences of cognition, brain, and environment over time.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".