Policing Black Lives: State Violence in Canada from Slavery to the Present (Book Review)
Bibliographic record
Abstract
The release of Policing Black Lives: State Violence in Canada from Slavery to the Present on October 16 th , 2017 occurred between the defunding of the African Canadian Legal Clinic (ACLC) following accusations of financial mismanagement, and the province of Ontario releasing its first anti-Black racism strategy.While the former presents a void to the vulnerable Black communities served by the ACLC, which Legal Aid Ontario has promised to furnish with similar services to those formerly provided by the ACLC, the latter is perhaps a sign of progress that Ontario plans to tackle anti-Blackness.African descended people in Canada are acutely aware, however, that promises to curtail anti-Blackness have been aplenty for decades, and yet poor outcomes for African Canadians persist.As the title suggests, in Policing Black Lives Robyn Maynard (2017) aims to elucidate the troubling past of African enslavement in Canada and the persistence of anti-Blackness in contemporary Canada (including ongoing governmental promises to curtail it).Unsurprisingly, Maynard finds that the relationship between the Canadian state and African Canadians is tenuous, and that from African enslavement into the contemporary Canadian milieu, Blackness is mediated by gender and ability.For example, Maynard dedicates large portions of Policing Black Lives to discussing how Black women and transgender people are subject to state violence with impunity, are hypersexualized, and are presumed to be inadequate mothers.Indeed, Black women faced a particular form of racism and sexism during African enslavement, which articulated them as un-rape-
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.011 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".