An analysis of Manitoba Court of Appeal decisions in cases heard in the Winnipeg Family Violence Court, 1990-1992
Bibliographic record
Abstract
In the following thesis the author analyzed legal decisions from a superior court, in the form of 46 Manitoba Court of Appeal decisions in cases heard in the Winnipeg Family Violence Court, 1990-1992, to determine whether the reforms contributed to justice for victims of family violence. Using the methodology of theoretically oriented content analysis 18 sentencing goals and factors commonly used in sentencing decisions in criminal cases were quantitatively and qualitatively assessed. The seriousness of the crime as defined by its impact on the victim was mentioned only 6 times in 34 sentencing decisions. By failing, in the vast majority of cases, to acknowledge the seriousness of the crime, the Court of Appeal reinforced and legitimized the minimization of family violence offences. The examination of conviction issues revealed that bias against finding the testimony of women and children to be credible, particularly in sexual assault cases, has persisted despite amendments enacted to remedy this bias. Recommendations are included. (Abstract shortened by UMI.)
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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 | 0.004 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.009 | 0.011 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".