Indigenous Consumer Racial Profiling in Canada: A Neglected Human Rights Issue
Bibliographic record
Abstract
This paper examines the pervasive yet underrecognized phenomenon of consumer racial profiling (CRP) against Indigenous peoples in Canada. Drawing on sociolegal analysis, public health research, and empirical data, the authors demonstrate how CRP—manifested in routine acts of surveillance, exclusion, and humiliation in retail and service spaces—functions as a contemporary expression of colonialism and systemic racism. The work identifies both individual and collective harms, including racial trauma, internalized inferiority, and civic alienation, while framing CRP as a neglected but critical human rights issue. The authors argue that CRP exacerbates intergenerational trauma and undermines reconciliation efforts, calling for Indigenous-specific remedies such as healing ceremonies, cultural safety training, and systemic data collection reforms. By situating CRP within broader patterns of legal consciousness, systemic discrimination, and access to justice, this report is a much-needed foundational resource for advancing anti-racist practices in commercial settings and fulfilling Canada’s private-sector obligations under the Truth and Reconciliation Commission and the United Nations Declaration on the Rights of Indigenous Peoples (UNDRIP).
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".