The Development and Treatment of Girlhood Aggression
Bibliographic record
Abstract
Contents: K. Goldberg, Foreword. D.J. Pepler, K. Madsen, Introduction: Girlhood Aggression: Building Bridges Between Research and Treatment. Part I: Girls' Aggression: Developmental Issues. D.J. Pepler, W. Craig, Aggressive Girls on Troubled Trajectories: A Developmental Perspective. K. Keenan, M. Stouthamer-Loeber, R. Loeber, Developmental Approaches to Studying Conduct Problems in Girls. K. McKnight, M. Putallaz, Commentary: A Relationship Focus on Girls' Aggressiveness and Conduct Disorder. Part II: Girls' Physical Aggression. R.H. Baillargeon, R.E. Tremblay, J.D. Wilms, Gender Differences in the Prevalence of Physically Aggressive Behaviors in the Canadian Population of Two-and Three-Year-Old Children. S. Miller-Johnson, B.L. Moore, M.K. Underwood, J.D. Coie, African American Girls and Physical Aggression: Does Stability of Childhood Aggression Predict Later Negative Outcomes? L. Pulkkinen, Commentary: New Research Approaches to the Study of Aggression. Part III: The Social Nature of Girls' Aggression. H. Xie, B.D. Cairns, R.B. Cairns, The Development of Aggressive Behaviors Among Girls: Measurement Issues, Social Functions, and Differential Trajectories. S. Artz, To Die For: Violent Adolescent Girls' Search for Male Attention. P. Verlaan, Commentary: The Importance of Social Context and Relationships in Female Aggression. Part IV: Aggressive Girls in Treatment. K.S. Levene, K.C. Madsen, D.J. Pepler, Girls Growing Up Angry: A Qualitative Study. L.D. Leve, P. Chamberlain, Girls in the Juvenile Justice System: Risk Factors and Clinical Implications. W.M. Craig, Commentary: The Treatment of Aggressive Girls: Same but Different? Part V: Aggressive Girls Grow Up. M. Zoccolillo, D. Paquette, R. Tremblay, Maternal Conduct Disorder and the Risk for the Next Generation. D.M. Stack, L.A. Serbin, A.E. Schwartzman, J. Ledingham, Girls' Aggression Across the Life Course: Long-Term Outcomes and Intergenerational Risk. J. McCord, Commentary: Aggression Among Females.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".