Calgary's Specialized Domestic Violence Court: An Evaluation of a Unique Model
Bibliographic record
Abstract
Specialized domestic violence courts are a recentinnovation in the justice system’s response to domestic violence, with the objective of more effectively addressing domestic violence by jointly holding offenders more accountable and improving safety for victims. Calgary’s court, developed in 2001, began as a unique model focusing on DV specialization in the docket court, speeding entry into the justice system,and treatment for low risk offenders. In 2005, DV specialization was expanded to the trial court. This article presents data on over 6,407 cases from a ten-year period, 1998 to 2008, capturing the development of the model over the years from baseline, specialized docket to specialized trial courts. The results cover the characteristics of the accused and victims, criminal history, and court outcomes. It also presents a summary of the results of interviews with justice and community stakeholders and men mandated totreatment. Implications for the justice system and for jurisdictions considering developing a specialized DV court approach are presented.
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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 | 0.014 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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".