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Record W1996648168 · doi:10.1080/13632750903073376

Perceived social support and domain-specific adjustment of children with emotional and behavioural difficulties

2009· article· en· W1996648168 on OpenAlexaff
Mina Popliger, Jessica R. Toste, Nancy L. Heath

Bibliographic record

VenueEmotional and Behavioural Difficulties · 2009
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsMcGill University
Fundersnot available
KeywordsPsychologySocial supportDevelopmental psychologyPsychological interventionSocial emotional learningEmotional supportClinical psychologySocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

The perceived availability of social support has been documented as a protective mechanism among adults and adolescents. However, little research has explored the role of social support among children with emotional and behavioural difficulties (E/BD). The current study sought to investigate the effects of perceived social support from family, friends and teachers on domain-specific adjustment for children with E/BD. Fifty-four teacher-nominated children for E/BD completed questionnaires on perceived social support and behavioural, emotional and social functioning. Results suggest a pattern of intercorrelations between indices of child-rated social support and behavioural, emotional and social indicators of adjustment. Specifically, domain-specific social support was found to predict domain-specific adjustment outcomes for children with E/BD, once demographic variables were held constant. Interventions that are child-centred and domain-specific are suggested.

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)0.005
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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
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 integrity0.0000.001
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 head0.024
GPT teacher head0.253
Teacher spread0.228 · 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

Citations8
Published2009
Admission routes1
Has abstractyes

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