2.47 THE DOPAMINE D4 RECEPTOR GENE, BIRTH WEIGHT, EARLY MATERNAL CARE, MATERNAL DEPRESSION OVER THE POSTNATAL TIME PERIOD, AND THE PREDICTION OF DISORGANIZED ATTACHMENT AT 36-MONTHS OF AGE: A PROSPECTIVE GENE X ENVIRONMENT ANALYSIS
Bibliographic record
Abstract
at baseline continued to be a victim at follow-up, and 30 percent of children who were bullies at baseline continued to be a bully at follow-up.The percentages of children who were victims only and children who were both bullies and victims decreased at twice the rate as those for bullies only.Adolescents who were not a bully or a victim at follow-up were four times more likely to have been a victim only in childhood than a bully only or a bully and/ or victim.The outcome was the poorest for children who were both a bully and a victim at baseline, with less than half (43 percent) being neither a bully nor a victim at follow-up.In contrast, most children who were a bully only or a victim only at baseline were neither a bully nor a victim at follow-up (68 and 71 percent, respectively).Conclusions: Our study indicates that bullying and victimization are relatively unstable from childhood to adolescence.However, the findings that 30 percent are still bullies, that 26 percent are still victims, and that half of adolescent bullies and victims are new cases support the need for intervention to eliminate bullying, relieve current suffering, reduce chronicity, and prevent bullying from developing.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".