Bibliographic record
Abstract
The field of sociology has largely ignored critical race theory (CRT) as a relevant theoretical and pedagogical framework for the study of white supremacy and Indigenous and Black race relations in Canada. In the United States, CRT has long been a theoretical framework tethered to and contextualizing the underpinnings of systemic racism and white supremacy as the cornerstone of structural oppression in American legal society. The initial focus of this work was to study the operationalization of the myriad ways in which race and racial power were constructed and represented in American law and society and the attendant ways in which Black civil rights under American law could never be achieved through the application of legal jurisprudence. CRT’s theoretical milieu has expanded beyond legal research to examine the sphere of racist structural oppression as systemically embedded in immigration, housing, education, employment, healthcare, and child welfare systems. The writing of this article has been an intentional active disruption to the claims that multiculturalism has the answers to race relations in an ever-changing Canadian society. While there are six main tenets of CRT, this article specifically focuses on three core tenets of CRT which argue that (1) racism is an ever-present dynamic of life in Canada; (2) racial subordination remains endemically tied to the political, cultural, and social milieu of white supremacy impacting the lives of Indigenous and Black peoples in Canada; and (3) racism has contributed to all historical and contemporary manifestations of structural oppression related to land theft and anti-Black racism. As such, CRT has much to contribute to race-radical research, pedagogy, and praxis when it comes to understanding race relations in a Canadian society grappling with an ever-changing multicultural narrative.
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 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 | 0.014 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.019 | 0.088 |
| Scholarly communication | 0.012 | 0.015 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".