Self-perception and behavioural outcomes of early acquired brain injury
Bibliographic record
Abstract
Acquired brain injury (ABI) occurs commonly in young children. Despite this, the psychosocial implications of ABI in young children are not established, with little understood about the impacts on self-perception and self-esteem. In this study we investigated self-perception, self-esteem and behaviour of children with early ABI. Children with an ABI (n = 47) before six years were compared to 17 typically developing controls (TDCs) matched on demographics. Children were aged 6–12 years and completed the Harter Self-Perception Profile. One parent completed the Child Behavior Checklist. No differences for self-perception and self-esteem were found between the groups. Parents of children with an early ABI reported more internalizing and externalizing behaviours. Children with more externalizing behaviour and social skill problems had more negative self-perceptions. Interaction effects were seen between socioeconomic status (SES) and child self-perception and behaviour. Specifically, children from families of higher SES had a more positive perception of their appearance and children from lower SES backgrounds had more externalizing behaviours and social problems. The study suggests that the relationship between ABI and self-perception and self-esteem is complicated and that children with behavioural problems have lowered feelings of competence. SES has an important role in self-perception and behavioural outcomes.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".