Discours de désaveu: Le racisme sexiste envers les Noires dans les archives relatives aux fouilles à nu de l’État et des médias
Bibliographic record
Abstract
This article undertakes a critical examination of prevailing discourses circulated by public authorities and the media during the weeks and months following three instances of Black women and girls being strip-searched by police in Canada: Audrey Smith in Toronto in 1993, three unnamed Black girls in Halifax in 1995, and Stacy Bonds in Ottawa in 2008. By focusing on three primary discourses of disavowal evident in both media accounts and legal records of these cases, this article sheds light on how collusion among the Canadian state, the criminal justice system, and the media culminate in narratives that re-install the national myth of Canada as a benevolent nation. Ultimately, the paper argues that the violence of the strip-search is naturalized through the disavowal of gendered anti-Black violence and liberal discourses of reform are upheld.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.048 | 0.029 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".