The Realities of Racism: Exploring Attitudes in Manitoba, 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
Between December 2020 and January 2021, we conducted an online mixed-methods survey to explore racism in the province of Manitoba, Canada. The survey was completed by exactly 500 residents of the province and was largely representative of the demographics of the province. The survey measured views on racism, multiculturalism, religious diversity, assimilation and linguistic diversity, and also explored lived experiences with racism. In this article, we report respondents’ views on multiculturalism, religious diversity, assimilation and racism. The strong majority of Manitobans recognized that racism is a problem in their area of the province, and yet views towards assimilation and support for religious diversity remain mixed. These findings show contradictions between overall support for broad themes like diversity or multiculturalism yet high levels of continuing discrimination and racism in the province. Our findings emphasize the impacts of whiteness, with the intersectional complexities further emphasized by the qualitative stories shared by participants, giving accounts of racism at work, in stores, healthcare, justice and in different demographic groups. Specifically, incidents of racism against Indigenous Peoples were the most commonly experienced and witnessed.
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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 | 0.001 | 0.001 |
| 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) | 0.000 | 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