COLONIAL LEGACIES AND COMPETING MASCULINITIES: THE SUPREME COURT OF CANADA’S RETURN TO REASON IN R. V. KAPP
Bibliographic record
Abstract
This article examines a series of unarticulated gender dynamics that shaped some of the recent changes to the legal test for discrimination under s. 15 of the Canadian Charter of Rights and Freedoms. Despite the volume of literature that references R. v. Kapp, none of it has specifically addressed how race is gendered through the claims of the accused, the witnesses who testified on their behalf or the decisions of the judges who interpreted their testimony. Revisiting the legal strategies used in this case reveals ongoing challenges to accessing justice for marginalized groups and impediments to reconciliation.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.077 | 0.038 |
| Scholarly communication | 0.015 | 0.004 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.013 | 0.018 |
| 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".