The Puzzling Persistence of Racial Inequality 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
Abstract This article examines the failure of Canadian public policy in addressing racial economic inequality directly. Our analysis contends that Canada's key policy regimes were established in the postwar era, when approximately 96 per cent of Canadians were of European descent. As a result, the frameworks, problem definitions and policy tools inherited from that era were never intended to mitigate racial economic inequality. Moreover, this policy inheritance was deeply shaped by liberal universalism, which rejected racial distinctions in law and policy. These norms were carried forward into the more racially diverse Canada of today, where they have steered attention away from the use of racial categories in policy design. As a result, racial inequality was not a central priority during major policy reforms to core policy regimes in recent decades. In theoretical terms, our analysis contributes to Canadian Political Development through a sustained consideration of the intersecting roles of ideational frameworks, path dependency and policy inertia.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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