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Record W2132705319 · doi:10.1177/0143034303024002001

Bullying and the Big Five

2003· article· en· W2132705319 on OpenAlexaff
Franca Tani, Paul S. Greenman, Barry H. Schneider, Manuela Fregoso

Bibliographic record

VenueSchool Psychology International · 2003
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsConscientiousnessPsychologyExtraversion and introversionPersonalityBig Five personality traitsSocial psychologyContext (archaeology)Developmental psychology

Abstract

fetched live from OpenAlex

Research on the social context of bullying includes children who help the victim, assist the bully or remain outsiders. 96 children from two public schools in Central Italy were classified according to an Italian version of the Participant Role Scale (Sutton and Smith, 1999) as Defenders of the Victim, Outsiders, Victims or Pro-bullies. Teacher reports indicated Friendliness and Emotional Instability as the strongest distinguishing personality factors among the participant roles, followed by Conscientiousness and Energy. Higher levels of Emotional Instability and lower levels of Friendliness typified both Pro-bullies and Victims, relative to their peers. Victims were also low in Conscientiousness. Defenders exhibited high levels of Friendliness, whereas Introversion and Independence characterized Outsiders. These results suggest that personality traits might contribute to children's typical behaviour in 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 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)0.003
metaresearch head score (Gemma)0.006
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 score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.024
GPT teacher head0.336
Teacher spread0.312 · 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

Citations209
Published2003
Admission routes1
Has abstractyes

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