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Class Identity and Candidate Self-Presentation: Evidence from Canadian Provincial Elections

Published online by Cambridge University Press:  21 May 2025

Daniel Westlake*
Affiliation:
University of Saskatchewan, 9 Campus Drive, Saskatoon, SK, S7N 5A5
Jacob Robbins-Kanter
Affiliation:
Bishop's University, 2600 College Street, Sherbrooke, Quebec, J1M 1Z7
*
Corresponding author: Jacob Robbins-Kanter; Email: jrobbins@UBishops.ca
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Abstract

Local candidates seeking to personalize their campaigns and build affinity with target voters may highlight particular aspects of their identities within campaign communications. One such aspect they may reference is their class background. For example, campaign materials frequently mention a candidate's occupational or educational background in order to build rapport with the electorate and indicate shared status, interests or values. This article compares the self-presentation of class identity among political candidates in the 2022 Ontario and Québec provincial elections. We code 976 online candidate biographies to assess how class background is referenced and examine the impact of variables such as party affiliation and riding demographics on self-presentation of class status. We further compare campaign biographies with data on candidates’ class backgrounds separately sourced from news reports and social media (LinkedIn). This allows us to determine which elements of class identity candidates choose to highlight, downplay or embellish in their campaign biographies.

Résumé

Résumé

Les candidats locaux qui cherchent à personnaliser leur campagne et à créer des affinités avec les électeurs cibles peuvent souligner des aspects particuliers de leur identité dans leurs communications de campagne. L'un de ces aspects est la classe sociale à laquelle ils appartiennent. Les candidats mentionnent fréquemment la profession ou le niveau d'études d'un candidat afin d'établir une relation avec l'électorat et d'indiquer qu'il partage un statut, des intérêts ou des valeurs. Cet article compare l'autoprésentation de l'identité de classe des candidats politiques aux élections provinciales de 2022 en Ontario et au Québec. Nous codons 976 biographies de candidats afin d'évaluer la manière dont les antécédents de classe sont mentionnés et d'examiner l'impact de variables, telles que l'affiliation politique et les données démographiques de la circonscription, sur l'autoprésentation de la classe sociale. Nous comparons également les biographies de campagne avec des données sur les origines de classe des candidats provenant séparément de reportages et des médias sociaux (LinkedIn). Cela nous permet de déterminer quels éléments de l'identité de classe les candidats choisissent de mettre en évidence, de minimiser, ou d'embellir dans leurs biographies de campagne.

Information

Type
Research Article/Étude originale
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
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

Table 1. Aggregations of Occupation Categories

Figure 1

Figure 1. References to Occupation by ProvinceBars show the total proportion of candidates referencing each category of occupation.

Figure 2

Figure 2. References to Education by ProvinceBars show the total proportion of candidates referencing each education category.

Figure 3

Figure 3. Effects on Mentions of OccupationThis figure shows average marginal effects. Lines show ranges for a 95 per cent confidence level. * p<0.1, ** p < 0.05, *** p < 0.01, **** p < 0.001. Full regression models are in table A1 in the appendix.

Figure 4

Figure 4. Effects on References to Occupation (Left Party Candidates)This figure shows average marginal effects. Lines show ranges for a 95 per cent confidence level. * p < 0.1, ** p < 0.05, *** p < 0.01, **** p < 0.001. Full regression models are found in table A2 in the appendix.

Figure 5

Figure 5. Effects on References to Occupation (Right Parties)This figure shows average marginal effects. Lines show ranges for a 95 per cent confidence level. * p < 0.1, ** p < 0.05, *** p < 0.01, **** p < 0.001. Full regression models are found in Table A4 in the appendix.

Figure 6

Figure 6. Effects on References to EducationThis figure shows average marginal effects. Lines show ranges for a 95 per cent confidence level. * p < 0.1, ** p < 0.05, *** p < 0.01, **** p < 0.001. Full regression models are in table A5 in the appendix.

Figure 7

Figure 7. Effects on References to Education (Left Parties)This figure shows average marginal effects. Lines show ranges for a 95 per cent confidence level. * p < 0.1, ** p < 0.05, *** p < 0.01, **** p < 0.001. Full regression models are in table A6 in the appendix.

Figure 8

Figure 8. Effects on References to Education (Liberal Parties)This figure shows average marginal effects. Lines show ranges for a 95 per cent confidence level. * p < 0.1, ** p < 0.05, *** p < 0.01, **** p < 0.001. Full regression models are in Table A7 in the appendix.

Figure 9

Figure 9. Effects on References to Union MembershipThis figure shows average marginal effects. Lines show ranges for a 95 per cent confidence level. * p < 0.1, ** p < 0.05, *** p < 0.01, **** p < 0.001. Full regression models are in Table A9 in the appendix.

Figure 10

Table 2. Mentioned vs. Verified Educational Qualifications

Figure 11

Table 3. Mentioned vs. Verified Occupations

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