Youth violence and juvenile justice : causes, intervention and treatment programs
Bibliographic record
Abstract
Preface Entre Dos Mundos/Between Two Worlds: An Evidence-Based Bicultural Skills Training Program for Acculturating Latino Families Evidence-Base Practices for Juvenile Delinquency: Risk & Protective Factors in Treatment Implementation Risk & Protective Factors in Youth Violence & Aggression: Promising Family-Based Prevention Models Sport as a Cure for Adolescent Aggressive, Antisocial, & Delinquent Behaviours Sociometric Status & Bullying: Peer Relationships, Aggressive Behavior, & Victimization Violent & Delinquent Youths: Relationships with Institutional Authorities & Compliance with Social Norms Violence Prevention & Treatment Programmes for Young Offenders Bullying & Victimization Experiences at School, the Parent-Child Relationship & Child School Performance: A Longitudinal Investigation Personal & Interpersonal Mediators Linking Acculturation Stress to Aggressive Behavior in Latino Adolescents Child-Rearing Practices & Delinquency in Children & Adolescents Sharks & Jets vs. Bloods & Crips: Socio-Economics, Prevention, & Intervention in Different Eras of Gang Violence The Motivational Influence of Attitude, Subjective Norm, Perceived Behavioral Control & Anticipated Affective Self-Reactions, on Behavioral Decision Making of Re-Offending Exploring Issues about Youth Gangs in Canada Risk & Resiliency among Juveniles & Young Adults The Influence of Normative Beliefs about Aggression on Behavior in Children Public Perceptions of Registry Laws for Juvenile Sex Offenders Index.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.003 |
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".