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Record W1965232888 · doi:10.1177/0829573511423741

A Mixed-Method Evaluation of a Strength-Based Bullying Prevention Program

2011· article· en· W1965232888 on OpenAlexaffabout
Jennine S. Rawana, Sarah Jane Norwood, Jessica Whitley

Bibliographic record

VenueCanadian Journal of School Psychology · 2011
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsUniversity of OttawaYork University
Fundersnot available
KeywordsPsychologyIntervention (counseling)Medical educationApplied psychologyProgram evaluationMultiple baseline designHuman factors and ergonomicsSuicide preventionInjury preventionPoison controlMedicineEnvironmental health

Abstract

fetched live from OpenAlex

The goal of this study was to describe the strength-based bullying prevention program, Strengths in Motion, and to evaluate the program utilizing a mixed-method design. Participants included students in Grades 4 to 8 from an intervention ( n = 50) and a comparison ( n = 53) school in Northern Ontario. Measures of bullying, strengths, and classroom climate were completed at three time points: One month prior to the start of the program (baseline), and at 3 and 8 months after the program had started. Quantitative analyses revealed that there was a significant decrease in students’ bullying victimization over time, an increase in classroom climate, and students’ personal awareness of their strengths. Semistructured interviews conducted 20 months after the start of the program with various stakeholders, including parents and school staff, complemented these findings and provided additional information on the efficacy of the program and the strength-based approach. Study findings are discussed in terms of the implications 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 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)0.011
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
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 head0.126
GPT teacher head0.407
Teacher spread0.282 · 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 designQualitative
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

Citations34
Published2011
Admission routes2
Has abstractyes

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