Developmental Trajectories of Preschool Children’s Bullying Behavior: Prediction of Peer Relationships
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A longitudinal study was conducted with 425 preschool children during a one-and-a-half-year period to investigate the developmental trajectory of preschool children’s bullying behavior and the prediction of peer relationships in this trajectory. The latent growth curve model (LGCM) and mixed growth model (GMM) were conducted on Mplus to investigate the normative development trajectory and heterogeneity of preschool children’s bullying behavior. Results showed that: (1) In general, preschool children’s bullying increased with age, and two significantly different sub-trajectories were identified through the model-fitting parameters. One was the ―low-slow increasing‖ group, accounting for 88.47% of participants; the other group was the ―high-fast decreasing‖ group, accounting for 11.53% of participants. (2) Peer rejection positively predicted preschool children’s bullying behavior, while peer acceptance and gender were not significant predictors. This study uncovered preschool children’s bullying behavior from a developmental perspective and provided further theoretical evidence for future intervention programs to reduce bullying behaviors.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it