Trauma Unspoken: Canadian Queer Women Politicians’ Experiences of Violence
Bibliographic record
Abstract
At the intersection of misogyny and heteronormativity, queer women in Canada face significant systemic barriers in pursuing political leadership, including experiences of harassment and violence. In transgressing gendered leadership norms in the high-stakes and high-visibility terrain of electoral politics, queer women are subject to disproportionate surveillance and discipline under the regulatory power of the heterosexual matrix. In taking up a recent quantitative study by the LGBTQ Victory Institute as well as media coverage of Kathleen Wynne’s leadership as the first openly lesbian and LGBTQ-identifying premier in Canada, this paper argues that in order to meaningfully support queer women to enter the field of electoral politics in Canada, we must move beyond encouraging representation and instead consider how violence against queer women in politics enforces systemic exclusion. This paper offers that understanding the trauma experienced by queer women in politics – both as candidates and elected leaders – is vital for illuminating the structural powers that perpetuate this violence and dismantling the systems that reproduce this harm.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.057 | 0.018 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".