MétaCan
Menu
Back to cohort
Record W2071578257 · doi:10.1017/s1355617703960097

Psychosocial status after pediatric traumatic brain injury: A subtype analysis using the Child Behavior Checklist

2003· article· en· W2071578257 on OpenAlexaff
Susan E. Hayman-Abello, Byron P. Rourke, Darren R. Fuerst

Bibliographic record

VenueJournal of the International Neuropsychological Society · 2003
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsCBCLPsychosocialTypologyTraumatic brain injuryChild Behavior ChecklistClinical psychologyPsychologyChecklistMedicinePsychiatry

Abstract

fetched live from OpenAlex

This study identified subtypes of psychosocial functioning in children who had sustained traumatic brain injury (TBI). Child Behavior Checklist (CBCL) profiles for 92 participants, aged 12 to 18 years, who had sustained a mild, moderate, or severe TBI were subjected to Q-Factor analysis. Sixty-four of the participants (75%) were classified into a four-category psychosocial typology labelled Normal (n = 32), Attention (n = 14), Delinquent (n = 10), and Withdrawn-Somatic (n = 8). This typology was found to overlap in part with previous TBI psychosocial typology (Butler et al., 1997), and with three of the clinical profile types derived by Achenbach (1993) for the CBCL. The majority of participants, including those who sustained severe TBI, were assigned to the Normal subtype and the overall level of psychosocial deviance was relatively mild in the other three subtypes. The results of this study support previous typology efforts and confirm the heterogeneous presentation of social and emotional functioning following TBI.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.066
GPT teacher head0.389
Teacher spread0.323 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations30
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the International Neuropsychological SocietySame topicTraumatic Brain Injury ResearchFrench-language works237,207