This study evaluates the visibility of French-speaking scholars in Canadian political science by analyzing the reading materials assigned in Canadian politics courses. Extending Daoust et al.'s (2022) research, we establish a baseline for their calculations and build an original dataset gathered from all political science departments’ websites and Google Scholar. Our analysis based on three assumptions about the expected academic representation of francophones—Canada's linguistic composition, the makeup of political science departments and faculty members’ productivity—reveals a discrepancy favouring anglophone scholars by up to four percentage points. Our findings extend Daoust et al.'s (2022) contribution by highlighting a similar language-based bias in overall citation practices among Canadian scholars, with French-speaking authors being significantly under-cited compared to their English-speaking counterparts despite demonstrating higher levels of overall productivity. Implications for the future of the discipline are also discussed.

The representation of Canada's two main linguistic groups in the teaching of Canadian politics is crucial, but we know little about it. In this article, we analyze the systemic underrepresentation of francophone authors in Canadian political science by examining the research that students are exposed to. Based on data from 351 syllabi across 42 Canadian universities, as well as data from the reading list of the doctoral qualifying field exams in Canadian politics, our findings show that francophone authors are systemically underrepresented (when not totally absent). About 38 per cent of Canadian politics courses include no francophone authors in their reading lists. Our findings suggest that Canadian politics is not an inclusive and comprehensive field. This result entails important implications not only for current professors and students but also for the profession more generally, given that the students who will make up tomorrow's faculties in Canadian universities are shaped by these biases.