Racial stereotyping of indigenous people in the Canadian media: A comparative analysis of two water pollution incidents
Bibliographic record
Abstract
This article examines the discourse surrounding issues affecting Indigenous peoples within the Canadian mainstream media. We compare the coverage of two cases of water poisonings-one in a primarily-white town and the other in an Indigenous community-in 282 newspaper articles from the Toronto Star, the Globe and Mail, the National Post, and Windspeaker. We show that the dominant coverage of these two very similar cases diverged significantly. The Indigenous workers in charge of the water supply were regarded as incompetent and incapable to fill their position while the entire community was described as drunk, lazy, helpless, and perpetually dependent on government aide. By contrast, white workers were seen as relatable and in command of their erroneous actions, while the residents of the town were described simply as the victims of an unfortunate tragedy. Such reporting fails to contextualize the events or point out the injustices of Canadian colonialism, thus contributing to the perpetuation of these injustices.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.016 | 0.013 |
| Science and technology studies | 0.016 | 0.008 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".