Treating youth agression and related problems in a social services agency
Bibliographic record
Abstract
Family TIES (training in essential skills) is a multilevel treatment program for helping youth with anger, aggression, and interconnected problems. It is embedded within a social service centre that provides child protective and youth offender services. In this article we summarize the program’s origin and theoretical foundation, and discuss the results of a preliminary investigation. Based on the premise that youth problems emerge largely from family discord, the program involves (a) teaching prosocial and anger management skills to youth, (b) training parents to become supportive coaches for their children, and (c) enacting effective family problem solving within the context of multi-family group sessions. The intention is to replace negative family processes with constructive communication between family members, positive expectations about one another, and shared beliefs in the family’s capacity to arrive at mutually agreeable solutions to problems. As part of an internal investigation of the program, youth-report and parent-report measures of youth behaviour, youth social skills, youth and parent anger, parenting, and family functioning were administered prior to and after delivery of the program. Positive changes were found in principal measures of interest, i.e., reductions in youth aggression, rule breaking, and anger; improved parental monitoring; and fewer family functioning problems. The results provide justification for evaluating Family TIES using an experimental design.
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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 | 0.000 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".