'I'm Real, Not You': Roles and Discourses of Trans Exclusionary Women's and Feminist Movements in Anti-gender and Right-wing Populist Politics
Bibliographic record
Abstract
This article offers a comparative inquiry concerning the rise in visibility, relevance, and power of trans exclusionary women’s and feminist movements in Canada and the United Kingdom (UK) between 2015 and 2022. It focuses on two case studies concerning trans rights: the successful campaign for Bill C-16 in Canada, and failed reform of the Gender Recognition Act 2004 in the UK. In both cases, key streams within trans exclusionary women’s and feminist movements increasingly engage in collaborative action with right-wing populist-centered anti-gender coalitions, which include right-wing religious, conservative, and right-wing extremist actors, from approximately 2016. It argues that a key role of women’s and feminist actors in these coalitions is to help legitimize, amplify, and give meaning to anti-gender and right-wing populist appeals and, therein, the politics of exclusion they promote. This occurs in part, it is argued, through symbolic appeals concerning authenticity and the non-materiality of trans lives; the promotion of narratives concerning conflicts in rights; and the provision of strong imagery, narrative, and emotional appeals concerning threat. These broad developments have had various important effects. In the UK, the combination of so-called ‘radical’ as well as ‘traditional’ actors within anti-gender coalitions, has been critical in challenging progress towards trans and broader (Lesbian, Gay, Bi, Trans, Intersex, and Queer) LGBTIQ+ rights. In Canada, although anti-gender movements have enjoyed less policy success during this period, women’s and feminist actors have helped popularize and provide legitimacy to wider coalitions.
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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 | 0.014 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.047 | 0.093 |
| Scholarly communication | 0.020 | 0.010 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.004 | 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".