Canada's institutional approach to gender equality
Bibliographic record
Abstract
This chapter considers Canada's institutional design for gender mainstreaming from a whole-of-government perspective by assessing the roles and responsibilities of Status of Women Canada (SWC), the centre of government, federal departments and Statistics Canada in delivering Gender Based Analysis Plus (GBA+) and gender budgeting commitments. It also discusses horizontal coordination structures such as the Cabinet Committee on Diversity and Inclusion, and modalities of collaboration between the Federal Government, Provinces and Territories. Canada's institutional design is well advanced in international terms and is broadly in line with the 2015 Recommendation. To further boost SWC's position as an institutional champion, consideration could be given to modernise its mandate to encompass gender equality and related dimensions of equality and inclusion. Further reinforcement of the challenge function of the centre of government would allow for more effective quality control and impact assessment of GBA+ and gender budgeting.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.017 | 0.018 |
| Scholarly communication | 0.014 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 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".