Effectiveness of a Bullying Intervention (Be-Prox) in Norwegian Early Childhood and Education Care Centers: Protocol for a Cluster Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: A new and growing body of research has studied bullying among children in early childhood education and care centers (ECECs). The Bernese Program (Be-Prox) is designed to systematically prevent and handle bullying between children in Swiss ECECs. However, the effectiveness of the Be-Prox intervention has not yet been explored in a Norwegian ECEC setting. OBJECTIVE: This study aims to evaluate the effectiveness of Be-Prox in preventing and handling bullying among peers in Norwegian ECECs. METHODS: ECECs from 2 Norwegian municipalities were invited to participate in a cluster randomized controlled trial (RCT) to evaluate the effectiveness of the Be-Prox intervention on peer bullying in Norwegian ECECs. After baseline measures were taken, project ECECs were randomized to either an intervention or a control arm. The Be-Prox intervention was introduced to ECECs in the intervention arm through 6 modules over a 9-month period immediately after the randomization. ECECs in the control arm participated in the data collection and were offered the Be-Prox intervention the following year. The primary outcome of the effect evaluation is the mean sum of negative behavior between peers after the Be-Prox training is completed in the intervention arm. Secondary outcomes include child bystander behavior, teacher self-efficacy, and ECEC's authoritative climate. An extensive implementation and process evaluation, as well as cost-effectiveness analyses, will be conducted alongside the RCT. RESULTS: Baseline data collection was conducted in September 2023, and the postintervention data collection started in May 2024. At baseline, we collected data on 708 children and 413 personnel from 38 project ECECs in the 2 Norwegian municipalities. The results from the study will be available in late 2024 at the earliest. CONCLUSIONS: The proposed project includes a comprehensive evaluation of the effectiveness of Be-Prox in Norwegian ECECs directly targeting the prevention and handling of bullying, including implementation and cost-effectiveness evaluations. The results from the project have the potential to fill in identified knowledge gaps in the understanding of negative behavior and bullying between peers in ECECs, and how these may be prevented. If proven efficient, our ambition is to offer Be-Prox to Norwegian ECECs as an evidence-based practice to prevent and handle bullying among preschool children. TRIAL REGISTRATION: ClinicalTrials.gov NCT06040437; https://clinicaltrials.gov/study/NCT06040437. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/60626.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.047 | 0.042 |
| Meta-epidemiology (narrow) | 0.009 | 0.005 |
| Meta-epidemiology (broad) | 0.019 | 0.009 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.009 | 0.013 |
| Insufficient payload (model declined to judge) | 0.096 | 0.014 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".