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Record W2034394324 · doi:10.1177/082957350401900105

An Evaluation of a Bullying Prevention Program for Elementary Schools

2004· article· en· W2034394324 on OpenAlexaffabout
Tanya Beran, Leslie M. Tutty, Greg Steinrath

Bibliographic record

VenueCanadian Journal of School Psychology · 2004
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPsychologyMedical educationSchool climateMathematics educationMedicine

Abstract

fetched live from OpenAlex

This research evaluates an anti-bullying program, Dare to Care: Bully Proofing Your School. Students in Grades 4-6 (N = 197, 77 boys, 120 girls) from four Calgary elementary schools completed the Colorado School Climate Survey (Garrity, Jens, Porter, Sager, & Short-Camilli, 2000) and the Provictim Scale - Short Version (Rigby & Slee, 1991). The first research component was a pretest - 3-month posttest comparison between a school that was about to implement the program and one that was not planning to do so. At pretest, students in the no-program school gave more positive reports on many variables than the school about to implement the program, making the intended across-school statistical comparison unfeasible. Within the 3-month program school, however, the frequency of bullying witnessed by the students significantly decreased, but remained stable in the no-program comparison school. Further, attitudes towards victims significantly worsened in the no-program school, but remained stable in the program school. The second research component compared three schools that had implemented the anti-bullying program for various lengths of time. Students in the schools with the longer program duration reported more positive attitudes towards victims than students in the school with shorter program duration; however, other indicators of program effectiveness were not significantly different. The results raise questions about evaluating anti-bullying programs.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.676
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.071
GPT teacher head0.418
Teacher spread0.347 · 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.

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

Citations29
Published2004
Admission routes2
Has abstractyes

Explore more

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