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Record W2796857259 · doi:10.1177/0829573518765519

Changes in Bullying in Relation to Friends, Competitiveness, and Self-Worth

2018· article· en· W2796857259 on OpenAlexaff
Chiaki Konishi, Shelley Hymel, Matthew C. Danbrook, Tracy K. Y. Wong

Bibliographic record

VenueCanadian Journal of School Psychology · 2018
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsUniversity of British ColumbiaMcGill University
Fundersnot available
KeywordsPsychologySample (material)Self worthSocial psychologyData collectionDevelopmental psychologyRegression analysisSelf-esteemStatistics

Abstract

fetched live from OpenAlex

The relationship between social-emotional experiences — number of friends, competitiveness, and self-worth — and changes in bullying behaviour was investigated among students in Grades 5 to 7. This two-wave study included 235 students for the first data collection and 237 students for the second data collection, with a final sample of 227 students who had participated at both time points. Following Zumbo, results of multiple regression analyses, using residualized difference scores, indicated that changes in the school variables (number of friends, competitiveness, and self-worth) were associated with changes in reported bullying behaviour from the middle to the end of the school year. In particular, children’s beliefs about their self-worth were important in predicting changes in bullying behaviour, with increased self-worth being associated with a decrease in reported bullying behaviour.

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 score0.024
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.025
GPT teacher head0.312
Teacher spread0.287 · 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

Citations8
Published2018
Admission routes1
Has abstractyes

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Same venueCanadian Journal of School PsychologySame topicBullying, Victimization, and AggressionFrench-language works237,207