Ep.59 - Canadian Police Are Racist Too
Bibliographic record
Abstract
Abdirahman Abdi, a Somali man in Ottawa, is dead after witnesses say he was beaten by cops. There’s been a lot of attention on police violence against Black people in the U.S. lately. But Akwasi Owusu-Bempah, assistant professor of sociology at the University of Toronto, says Canada’s policing style has a lot of the same problems as the American system when it comes to dealing with racialized and Indigenous populations. Read Akwasi's piece in the Globe and Mail: http://www.theglobeandmail.com/opinion/a-hard-truth-canadas-policing-style-is-very-similar-to-the-us/article30942053/ Karmen James Omeasoo, a rapper who performs under the name Hellnback, talks about some of the troubles Indigenous men face with the Winnipeg police and the RCMP. Christien Levien, a criminal lawyer at Wiley and Levien, talks about how his own bad experience with police as a teenager led him to creating the app LegalSwipe to help other racialized kids stand up to cops. The song sampled in the show is Hellnback’s “Caught Up,” produced by Stomp.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.851 | 0.107 |
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; both teacher heads agree on what is shown here.
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".