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Record W1996796547 · doi:10.1177/0829573509357553

Bystander Responses to School Bullying: A Cross-Sectional Investigation of Grade and Sex Differences

2010· article· en· W1996796547 on OpenAlexaff
Jessica Trach, Shelley Hymel, Terry Waterhouse, Ken Neale

Bibliographic record

VenueCanadian Journal of School Psychology · 2010
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsUniversity of the Fraser ValleyUniversity of British Columbia
FundersSociety for Research in Child Development
KeywordsBystander effectPsychologyIntervention (counseling)Developmental psychologyCross-sectional studyClinical psychologyInjury preventionSuicide preventionPoison controlSocial psychologyMedicinePsychiatryMedical emergency

Abstract

fetched live from OpenAlex

Addressing the impact of peer bystanders on school bullying, this cross-sectional study examined whether student responses to bullying that they witnessed varied as a function of sex and grade. In a school-based survey regarding social experiences at school, Grade 4 to 11 students ( N = 9397, 51% male) who reported witnessing bullying (68%) rated how often they had engaged in different bystander responses. Results indicated significant differences across sex and grade level, such that younger students and girls were more likely to report taking positive action than were older students and boys by directly intervening, helping the victim, or talking to an adult. Generally, boys and girls were equally likely to report that they ignored or avoided the person(s) who bullied although reports that they did nothing increased with grade level. Implications for schoolwide antibullying intervention efforts are discussed.

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)0.004
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 score0.015
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
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 head0.059
GPT teacher head0.352
Teacher spread0.293 · 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

Citations191
Published2010
Admission routes1
Has abstractyes

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