Assessment and treatment to support youth involved in the criminal justice system: a practicum report on youth forensic psychiatric services
Bibliographic record
Abstract
This practicum report explores a social work role at the Ministry of Children and Family Development’s Youth Forensic Psychiatric Services (YFPS), located at the North Region Outpatient Clinic in Prince George, British Columbia. YFPS receives referrals through court orders and probation officers to offer comprehensive assessment and treatment services to youth who are involved with the youth criminal justice system. Youth may become involved with the justice system for various reasons and, once involved with the justice system, have multiple options for treatment and/ or rehabilitation. This report explores some of the resources youth may become involved with and how social workers through YFPS play a role in supporting youth in the justice system. The main goal of my graduate practicum was to broaden my social work skills by exposing myself to a new social work field and client population. Within this larger goal, my learning objectives focused on increasing knowledge and skills in conducting and writing assessments and broadening my clinical knowledge, as well as focusing on how my work at YFPS fit into Trauma-Informed and Anti-Oppressive lenses. Overall, I was able to develop new skills and work collaboratively to offer comprehensive services to youth who were involved in the justice system.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".