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Managing Threat: Do Social‐Cognitive Processes Mediate the Link Between Peer Victimization and Adjustment Problems in Early Adolescence?

2007· article· en· W2069864475 on OpenAlexafffund
Wendy L. G. Hoglund, Bonnie J. Leadbeater

Bibliographic record

VenueJournal of Research on Adolescence · 2007
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsUniversity of Victoria
FundersMichael Smith Health Research BCFrancis Crick InstituteUniversity of VictoriaSpencer Foundation
KeywordsPsychologyPeer victimizationAggressionCognitionAttributionInterpersonal communicationDevelopmental psychologyAnxietyPerspective (graphical)Social anxietySocial skillsInterpersonal relationshipSocial cognitionSocial psychologyPoison controlHuman factors and ergonomics

Abstract

fetched live from OpenAlex

Peer victimization has been linked concurrently and over time with multiple adjustment problems. However, the reasons for this multi‐finality in victimization are not well understood. The current study examines social‐cognitive processes (hostile attributions, social perspective awareness, and interpersonal skills) as mediators of the relations between subtypes of peer victimization (relational, physical) and depression and anxiety, social withdrawal, and physical aggression in early adolescence. The overall pattern of associations among subtypes of victimization, social‐cognitive processes, and adjustment converged with expectations that victimization biases adolescents' cognitions about peers in conflict situations and skills relating to peers. In turn, these cognitions and skills differentially compromised their ability to regulate diverse emotions or limit reticent behaviors in response to peer threats. Modest gender differences in these associations were found.

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 score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.397
Teacher spread0.330 · 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

Citations104
Published2007
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Research on AdolescenceSame topicBullying, Victimization, and AggressionFrench-language works237,207