Identifying and Targeting Risk for Involvement in Bullying and Victimization
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
Bullying is a relationship problem in which power and aggression are used to cause distress to a vulnerable person. To assess and address bullying and victimization, we need to understand the nature of the problem, how the problem changes with age and differs for boys and girls, the relevant risk factors (those individual or environmental indicators that may lead to bullying and victimization), and the protective factors that buffer the impact of risk. For children involved in bullying, we need to assess its extent and the associated social, emotional, psychological, educational, and physical problems. Bullying is a systemic problem; therefore, assessments of bullying need to extend beyond the individual child to encompass the family, peer group, school, and community. We recommend that assessments at each of these levels reflect the scientific research on bullying and victimization. With attention to the problems associated with bullying, we can work collectively to make schools and communities safer for children and youth.
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.
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) | 0.000 | 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