Bibliographic record
Abstract
In R v Borde (2003), 8 Criminal Reports (6th) 203 (Ont CA), the Ontario Court of Appeal recognized that anti-Black racism could be taken into account in sentencing in applying section 718.2(e) of the Criminal Code, otherwise known as the Gladue provision for sentencing Aboriginal offenders.In R v Hamilton (2004) 22 Criminal Reports (6th) 1 (Ont CA), the same court restricted Borde to cases where there is evidence of a casual link between racism and the commission of the offence.This comment is critical of the decision and its failure to recognize the relevance of anti-Black racism in the war on drugs and the relevance of race and general deterrence in thinking about sentencing. These are arguments that are relevant today and could be used to distinguish Hamilton if an appropriate case ever got to the Supreme Court of Canada. In this case, the trial judge raised the issue of gender and racial bias and gave the parties an opportunity to address their relevance to the sentencing of the two Black female accused. The Court of Appeal was critical of the trial judge's intervention. This too was unfortunate given the general reluctance of lawyers to raise these issues.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.016 | 0.010 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.009 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".