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Record W2024127045 · doi:10.1002/jcop.20353

Adults make a difference: the protective effects of parent and teacher emotional support on emotional and behavioral problems of peer‐victimized adolescents

2009· article· en· W2024127045 on OpenAlexaff
Rachel Yeung, Bonnie J. Leadbeater

Bibliographic record

VenueJournal of Community Psychology · 2009
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPsychologyAssociation (psychology)Emotional supportEmotional well-beingPeer victimizationClinical psychologyDevelopmental psychologyPeer supportHuman factors and ergonomicsSocial supportPoison controlSocial psychologyPsychiatryPsychotherapist

Abstract

fetched live from OpenAlex

Abstract This longitudinal study investigated the associations between peer victimization and maladaptive outcomes (emotional and behavioral problems) among 580 adolescents concurrently and across a 2‐year period, and proposed that adult emotional support moderated this association. Peer victimization and maladaptive outcomes were assessed from adolescents' self‐reports. Adult emotional support was measured from adolescents' ratings of parent and teacher emotional support. Adolescents who were physically or relationally victimized by their peers were at risk of emotional and behavioral problems. Higher levels of father and teacher emotional support were associated with lower levels of adolescents' emotional and behavioral problems concurrently and across time. Higher levels of mother emotional support were associated with lower levels of emotional problems and moderated the effects of physical victimization on maladjustment for concurrent assessments only. Teacher emotional support moderated the association between relational victimization and emotional and behavioral problems across time. © 2009 Wiley Periodicals, Inc.

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)0.003
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 score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
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 head0.037
GPT teacher head0.352
Teacher spread0.315 · 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

Citations215
Published2009
Admission routes1
Has abstractyes

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