Stories from the Front Lines: Making Sense of Gender Mainstreaming in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Gender mainstreaming (GM) is a strategy used by governments to promote gender equality. It entails integrating gender and intersectional considerations into all aspects of policy work, including policy formulation, implementation, and evaluation. However, its success in achieving gender equality and social transformation has been limited. Drawing on implementation research and narrative analysis, this article explores the micro-level dynamics and the local actors that help shape the character and outcome of gender mainstreaming. Using narrative analysis, we explore how GM specialists within the Canadian public service make sense of their role, and we identify the strategies they use to make gender matter in policy work. By examining their stories of isolation, disempowerment, and resistance, we uncover the administrative and political forces that shape not only the “space” for gender work but also the opportunities for individual activism and resistance. These stories convey how, by engaging in these micro-level strategies, GM specialists both challenge and reinscribe, at the macro level, technocratic representations of GM and of policy work in general. We conclude with some reflections on the insights that micro-level analysis and implementation research can bring to the study of gender mainstreaming.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it