Rejection Sensitivity as a Moderator of Psychosocial Outcomes Following Pediatric Traumatic Brain Injury
Bibliographic record
Abstract
OBJECTIVES: The current study examines whether psychosocial outcomes following pediatric traumatic brain injury (TBI) vary as a function of children's rejection sensitivity (RS), defined as their disposition to be hypersensitive to cues of rejection from peers. METHODS: Children ages 8-13 with a history of severe TBI (STBI, n=16), complicated mild/moderate TBI (n=35), or orthopedic injury (OI, n=49) completed measures assessing self-esteem and RS on average 3.28 years post-injury (SD=1.33, range=1.25-6.34). Parents reported on their child's emotional and behavioral functioning and social participation. RESULTS: Regression analyses found moderation of group differences by RS for three outcomes: social participation, self-perceptions of social acceptance, and externalizing behavior problems. Conditional effects at varying levels of RS indicated that externalizing problems and social participation were significantly worse for children with STBI at high levels of RS, compared to children with OI. Social participation for the STBI group remained significantly lower than the OI group at mean levels of RS, but not at low levels of RS. At high levels of RS, self-perceptions of social acceptance were lower for children with moderate TBI compared to OI, but group differences were not significant at mean or low levels of RS. No evidence of moderation was found for global self-worth, self-perceptions of physical appearance or athletic ability, or internalizing problems. CONCLUSIONS: The findings highlight the salient nature of social outcomes in the context of varying levels of RS. These findings may have implications for the design of interventions to improve social outcomes following TBI. (JINS, 2017, 23, 451-459).
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".