Gendering Local Governing: Canadian and Comparative Lessons – The Case of Metropolitan Vancouver
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
The United Nations Special Advisor on Gender Issues and the Advancement of Women, Rachel Mayanja recently noted the slow progress toward gender equity in political representation in the world’s assemblies: while representation of women in national legislatures is up (now at 16.4% overall), there remain areas of slower progress, and the rate of change remains distinctly unhurried. Countries such as Canada offer a basis for some comparisons; so does comparing national, provincial/state/regional and local governments. What is posed here is some evidence from the Canadian case, with brief national comparisons with a variety of other countries. Central to this examination of Canada is a study, reported here, on women in local government in metropolitan Vancouver, providing lessons in terms of Canada and more generally.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| 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