Stalled : the representation of women in Canadian governments
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
Foreword - Women, Power, Politics: Surveying the Canadian Landscape / Sylvia Bashevkin Introduction: The Road to Gender Parity / Manon Tremblay, Jane Arscott, and Linda Trimble 1 Truly More Accessible to Women than the Legislature? Women in Municipal Politics / Manon Tremblay and Anne Mevellec 2 The Alberta Advantage? Women in Alberta Politics / Brenda O'Neill 3 When Numerical Gains Are Not Enough: Women in British Columbia Politics / Jocelyne Praud 4 Complacency and Gender Silence: Women in Manitoba Politics / Shannon Sampert 5 A Province at the Back of the Pack: Women in New Brunswick Politics / Joanna Everitt 6 A Laggard No More? Women in Newfoundland and Labrador Politics / Amanda Bittner and Elizabeth Goodyear-Grant 7 Electoral Breakthrough: Women in Nova Scotia Politics / Louise Carbert and Naomi Black 8 Breaking the Holding Pattern? Women in Ontario Politics / Tracey Raney 9 Getting Women's Names on the Ballot: Women in Prince Edward Island Politics / John Crossley 10 Hitting a Glass Ceiling? Women in Quebec Politics / Manon Tremblay 11 A Prairie Plateau: Women in Saskatchewan Politics / Loleen Berdahl 12 In the Presence of Northern Aboriginal Women? Women in Territorial Politics / Graham White 13 Slow to Change: Women in the House of Commons / Lisa Young 14 Way Past That Era Now? Women in the Canadian Senate / Stephanie Mullen, with the collaboration of Manon Tremblay and Linda Trimble Conclusion: A Few More Women / Linda Trimble, Manon Tremblay, and Jane Arscott Index
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.
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) | 0.001 | 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