Inflammatory Rhetoric? Baseless Accusations? A Response to Gabor's Critique of Racial Profiling Research in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Racial profiling has become one of the most controversial issues facing the Canadian criminal justice system. In a recent article, Thomas Gabor dismisses much of the evidence of racial profiling in Canada as "baseless" and "inflammatory." We address Gabor's critique by highlighting findings from a Toronto survey which suggest that black youth are much more likely to report being stopped and searched by the police than youth from other racial backgrounds. Logistic regression analysis reveals that the impact of race remains strongly significant after controlling for social class, self-reported criminal activity, gang membership, drug and alcohol use, and public leisure activities. The article concludes with a discussion of the impact that racial profiling has on minority communities and a brief review of the potential benefits - and consequences - of mandating the police to collect their own stop and search data.
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.
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 | 0.008 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it