Bibliographic record
Abstract
The growing symmetry in gender roles is a revolutionary change as consequential as technological advances and globalization. We illustrate how the social world in Canada has changed for women and men over the course of the last century, both in terms of greater gender equity and of policies supporting equity. However, some of the significant changes that occurred in the last 100 years have recently stalled, while the overall progress has been uneven for certain subgroups. We suggest reasons for both the stalling and the unevenness and make policy recommendations for reigniting the march to enhanced equality between the sexes. La symétrie croissante des rôles liés aux identités sexuelles constitue un changement révolutionnaire, dont les conséquences sont aussi puissantes que celles dues aux avancées technologiques et à la globalisation. Nous démontrons comment la sphère sociale canadienne a changé pour la femme et pour l'homme durant le dernier siècle, tant au niveau de l’égalité des sexes qu'au niveau des politiques qui soutiennent cette égalité. Toutefois, certains des changements importants qui ont eu lieu durant le dernier siècle ont connu une récente stagnation, et certains changements n'ont pas été appliqués avec le même effort dans tous les groupes sociaux. Nous proposons des explications pour cette stagnation et pour ces inégalités, tout en suggérant des améliorations politiques qui viseront à relancer la progression vers une égalité complète entre hommes et femmes.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.027 | 0.014 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 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".