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The Prevalence and Correlates of Residential School Denialism in Canada

Published online by Cambridge University Press:  24 November 2025

Edana Beauvais
Affiliation:
Department of Political Science, Simon Fraser University, Academic Quadrangle, 8888 University Drive, Burnaby, BC, V5A 1S6, Canada
Mark Williamson*
Affiliation:
Department of Political Science, McGill University, 855 Rue Sherbrooke O, Montréal, QC, H3A 0C4, Canada
*
Corresponding author: Mark Williamson; Email: mark.williamson@mcgill.ca
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Abstract

For more than 150 years, politicians, the federal government, and missionary churches misled Canadians about deaths, abuse, and the genocidal intent in residential schools for Indigenous children. More recently, the identification of suspected unmarked graves at former school sites has triggered a renewed spread of misinformation denying the harmful legacy of residential schools. To what extent does the Canadian public endorse residential school denialism? Can education counter this misinformation? In this study, we develop and test a scale for measuring residential school denialism. We find that nearly one in five non-Indigenous Canadians agree with denialist claims, while an equal share feel they do not know enough to offer an opinion. Denialist beliefs are more common among men, conservatives, those with anti-Indigenous attitudes, and white Canadians who strongly identify with their racial in-group. In an experiment, we also show that educational information reduces non-opinions and increases the likelihood of rejecting denialist arguments.

Résumé

Résumé

Pendant plus de 150 ans, les politiciens, le gouvernement fédéral et les églises missionnaires ont trompé les Canadiens au sujet des décès, des abus et des intentions génocidaires dans les pensionnats destinés aux enfants autochtones. Plus récemment, l’identification de tombes anonymes présumées sur les sites d’anciennes écoles a déclenché une nouvelle vague de désinformation niant l’héritage néfaste des pensionnats. Dans quelle mesure le public canadien adhère-t-il au déni des pensionnats ? L’éducation peut-elle contrer cette désinformation ? Dans cette étude, nous développons et testons une échelle pour mesurer le déni des pensionnats. Nous constatons que près d’un Canadien non autochtone sur cinq est d’accord avec les affirmations négationnistes, tandis qu’une proportion égale estime ne pas en savoir assez pour se forger une opinion. Les croyances négationnistes sont plus courantes chez les hommes, les conservateurs, les personnes ayant des attitudes anti-autochtones et les Canadiens blancs qui s’identifient fortement à leur groupe racial. Dans le cadre d’une expérience, nous montrons également que l’information éducative réduit l’absence d’opinion et augmente la probabilité de rejeter les arguments négationnistes.

Information

Type
Research Article/Étude originale
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NC
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial licence (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of the Canadian Political Science Association (l’Association canadienne de science politique) and/et la Société québécoise de science politique
Figure 0

Figure 1. Prevalence of Denialism-Related Terms in Reddit Comments, 2021–2024.Note: This figure reports the percentage of comments including denialism-related words on Reddit posts related to residential schools that appeared on eight Canadian general and political subreddits for each month between 2021 and 2023 (see SM1 for details). Points are scaled by the total number of comments appearing each month. Note that the first suspected unmarked graves were announced in May 2021. The line of best fit is estimated from a generalized additive model weighted by the number of comments in each month.

Figure 1

Figure 2. Scree Plot of Residential School Denialism Items using Reduced Matrix Eigenvalues.Note: A scree plot plotting the reduced matrix eigenvalues from largest to smallest to visually identify the number of eigenvalues to the left of the point where the eigenvalues level off (the “scree” of the graph). There is one point to the left of the scree for the observed data, suggesting a single factor best captures variation in the items.

Figure 2

Figure 3. Prevalence of Residential School Denialism in Canada.Note: This figure reports the proportion of respondents in the control group providing each response level for the nine denialism items. (n = 960).

Figure 3

Figure 4. Correlates of Residential School Denialism.Note: This figure shows the distribution of denialism and “don’t know” responses among respondents in the control group (n = 960). In the left panel, the shading shows the distribution of denialism and the points indicate the mean denialism score (with 95% confidence intervals) among non-missing responses for each covariate. The right panel reports the percentage of “don’t know” responses. For continuous variables, respondents are grouped into “low,” “medium” and “high” categories on the basis of tercile. For the racial/ethnic identity variable, strong and weak identification with one’s racial/ethnic group is measured on the basis of whether a respondent’s racial/ethnic attachment score is above or below the median in their respective racial/ethnic category (that is, white or POC). See SM3.4 for additional details on covariate measurement.

Figure 4

Table 1 Average Treatment Effects of Educational Intervention

Figure 5

Figure 5. Responses to Denialist Claims by Treatment Condition.Note: Plot presents the average proportion of respondents, by treatment condition, providing each response type across all nine denialism items. (n = 1,915).

Figure 6

Figure 6. Conditional Average Treatment Effects by Indigenous Resentment and Partisanship.Note: These plots summarize four OLS models (two for each moderator) in which the treatment indicator is interacted with the Indigenous resentment indicator (binned by tercile) and the Party ID variable. Effect estimates for the denialism outcome (n = 1,822) are scaled in terms of control group standard deviations. The “don’t know” outcome (n = 1,915) is measured as the probability of giving that response type to a given denialist item. The models control for all covariates listed in the notes to Table 1.

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