Exposing White Supremacist Ideologies: How Awareness Influences Beliefs in Western BC's White Working Class
Bibliographic record
Abstract
Theodore Allen posits that the white working class plays a pivotal role in anti-racist and anti-capitalist movements. The capitalist system, he argues, sustains itself by fostering an identification with whiteness among the white working class, which impedes alliances across racial lines and perpetuates ignorance regarding capitalism's limitations. This qualitative study seeks to explore the potential for disrupting white supremacist ideologies among white working-class individuals through heightened awareness of whiteness. Grounded in Critical Race Theory (CRT) and Critical whiteness Studies (CwS), the research aims to expose these ideologies by fostering critical reflection and anti-racist behaviours. The study employs a comparative approach to address the question: "How does heightened awareness of whiteness affect white supremacist ideologies among white working-class individuals in Western BC, Canada?" The methodology includes circle table conversations, educational activities, and preand post-surveys to gauge shifts in ideologies. By analyzing the intersections of whiteness and class, this research aims to contribute to anti-racist efforts by promoting understanding and solidarity within white working-class communities. The findings will address a gap in the literature on race and class dynamics, providing insights into how whiteness operates and its implications for perpetuating racial inequalities. Ultimately, the research aspires to disrupt the entrenched structures of whiteness, fostering a path towards collective healing and social equity.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.008 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".