Gender Equality through a Neoliberal Lens: A Discourse Analysis of Justin Trudeau’s Official Speeches
Bibliographic record
Abstract
Justin Trudeau, the current prime minister of Canada, says he is a feminist. His government has formulated a feminist foreign policy and has presented official budgets alluding to intersectional feminism. Through discourse analysis, we examine how Trudeau’s self-description as a feminist manifests in his official speeches spanning from 2015 to 2018; we also situate his positioning in relation to contemporary literature on intersectional feminism. Our study illustrates what other scholars have identified as an increasingly difficult relationship between feminism and the dominant discourse of neoliberalism in political and policy circles. Our findings suggest that Prime Minister Trudeau’s understanding of feminism appears contained within and limited by a discourse of economic prosperity, which puts his positioning in line with a form of neoliberal feminism. We conclude that, in the analyzed speeches, the prime minister frames matters of gender equality primarily as a means to unleash women’s potential to contribute to economic prosperity, portraying them as an untapped resource.
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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 | 0.012 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.036 | 0.038 |
| Scholarly communication | 0.016 | 0.006 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".