Stop violence against women, an ethical imperative informs the creation of a domestic violence process group
Bibliographic record
Abstract
The judicial inquiry into the murder in Manitoba of Rhonda Lavoie by her estranged husband conducted by Justice P. Schulman recommended, among other things, that"Corrections should develop: (a) a second-stage spousal abuse treatment program for offenders. (Schuman, 1997, 72 & 125). " In response to this directive, Manitoba Justice in 1999 seconded the student to develop a group program which "would allow offenders the opportunity to explore personal problems in a therapeutic setting" to assist them "to make long-term changes in their behaviour" (Schulman, 72). The practicum report provides a comprehensive literature review and detailed analysis to adequately reflect the current state of knowledge in intervention. It offers another way of conceptualizing the theoretical perspective on the world-wide abuse of women by men in intimate relationships. The report pays particular attention to the correctional setting in which services were to be provided; this focus is rare in the literature to date. The process was intended to be inclusive, so that both men who receive services and women who survive abuse participated in the formulation of the program. Suggestions for further research are also offered. The program has, in fact, been implemented several times since its creation in 1999. It is hoped that the contents of this practicum report adequately honour the memory of Rhonda Lavoie and the lives of millions of women across the globe.
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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 | 0.016 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.020 | 0.036 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 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".