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Record W1733422924

Bullying interventions: a binocular perspective.

2006· article· en· W1733422924 on OpenAlexaff
Debra Pepler

Bibliographic record

VenuePubMed · 2006
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsSickKids FoundationHospital for Sick ChildrenYork University
Fundersnot available
KeywordsPsychological interventionPsychosocialPsychologyPerspective (graphical)Poison controlDevelopmental psychologySocial dynamicsHuman factors and ergonomicsApplied psychologySocial psychologySociologyPsychotherapistComputer scienceMedicine
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION: Bullying is a complex relationship problem associated with many psychosocial difficulties for children who bully, as well as those who are victimized. A recent international volume of school-based bullying programs revealed modest effectiveness, highlighting the need to refine interventions using research on developmental profiles of children who bully and those who are victimized, as well as on their relationships. METHOD: Based on developmental-systemic theory, a research review was conducted on individual and relationship risk factors associated with bullying and being victimized. RESULTS: The review led to the proposal of two organizing principles for interventions: Scaffolding and Social Architecture. Scaffolding focuses on providing tailored and dynamic supports for the needs of individual children who bully or who are victimized. Social architecture requires that adults focus on the social dynamics of children's groups and create social contexts that promote positive peer interactions and dissipate contexts that foster negative interactions. CONCLUSION: Interventions for bullying require a combination of scaffolding and social architecture to provide comprehensive supports and to change the social dynamics that enable bullying. With an empirically derived, comprehensive perspective, we may move closer to reducing the burden of these relationship problems in the lives of children and youth.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.711
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.034
GPT teacher head0.294
Teacher spread0.260 · 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.

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

Citations67
Published2006
Admission routes1
Has abstractyes

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