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Record W4224941772 · doi:10.1080/09602011.2022.2067188

Self-perception and behavioural outcomes of early acquired brain injury

2022· article· en· W4224941772 on OpenAlexaff
Louise Crowe, Vicki Anderson, Cathy Catroppa, Keith Owen Yeates, Warren Lo, Mardee Greenham

Bibliographic record

VenueNeuropsychological Rehabilitation · 2022
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversity of Calgary
FundersNational Health and Medical Research Council
KeywordsPsychologyPsychosocialDevelopmental psychologyPerceptionFeelingSocioeconomic statusClinical psychologyPopulationMedicineSocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.062
Threshold uncertainty score0.619

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.064
GPT teacher head0.381
Teacher spread0.317 · 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 teacher head, 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

Citations3
Published2022
Admission routes1
Has abstractyes

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