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Introduction to the Special Issue: Moral Disengagement and Aggression in Children and Youth

2015· article· en· W2051916338 on OpenAlexafffund
Hymel, Sonja Perren

Bibliographic record

VenueMerrill-Palmer Quarterly · 2015
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologySituational ethicsAggressionMoral disengagementDisengagement theorySocializationSocial psychologySocial cognitive theoryAgency (philosophy)CognitionDevelopmental psychologySociology

Abstract

fetched live from OpenAlex

Albert Bandura’s social cognitive theory of moral agency was developed in order to explain how adults with seemingly well-established moral standards can engage in inhumane and egregious behavior against others without apparent self-recrimination. Over the past decade, a growing body of research has explored the applicability of his theory in understanding aggressive behavior among children and youth, with consistent demonstration of links between aggression and one’s tendency to morally disengage, justifying or rationalizing such behavior through a number of different cognitive mechanisms. Expanding on these initial studies, this article introduces a special issue of Merrill-Palmer Quarterly that includes nine empirical articles investigating the individual and situational characteristics, socialization factors, and developmental pathways that underlie the links between moral disengagement and aggression in children and youth, with a final commentary that critically evaluates the contributions of these articles and raises further questions for future research.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.593
Threshold uncertainty score0.525

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)0.0000.000

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 head0.018
GPT teacher head0.273
Teacher spread0.254 · 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

Citations21
Published2015
Admission routes2
Has abstractyes

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