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Record W4408344920 · doi:10.3389/feduc.2025.1497681

School bullying: children and adolescent norms, cultures and identity development

2025· article· en· W4408344920 on OpenAlexaff
Zoé Moody, Tina Stahel

Bibliographic record

VenueFrontiers in Education · 2025
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsEducation and Early Childhood Development
FundersMinistry of Education
KeywordsIdentity (music)Cyber bullyingDevelopmental psychologyAdolescent developmentPsychologyComputer sciencePhysicsThe InternetWorld Wide Web

Abstract

fetched live from OpenAlex

Introduction School bullying arises from a system of peers who form bonds through the repeated victimization of others. This empirical research article examines the function of bullying within the context of children and adolescent norms and cultures, aiming to highlight the motivations underlying inappropriate and anti-social behavior in school. Methods The study is a multi-method qualitative inquiry undertaken in one school system in Switzerland, including participants from the two main linguistic and cultural areas (French and German-speaking regions). Primary and secondary school students took part in focus groups (76 students) or seven individual interviews (7 students), while non-participant observations were carried out in seven primary school classes (185 students). Results The findings indicate that when bullying occurs, it is mainly expected among peers, directly reflecting the prevailing but changing social norms within youth groups. They highlight how children and adolescent identity development is related to bullying. Discussion The article points to ways in which education actors can act when faced with anti-social behaviors or bullying situations.

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 score0.202
Threshold uncertainty score0.397

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 head0.006
GPT teacher head0.297
Teacher spread0.291 · 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

Citations10
Published2025
Admission routes1
Has abstractyes

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