Feminist and Gender-Neutral Frames in Contemporary Child-Care and Anti-Violence Policy Debates in Canada
Bibliographic record
Abstract
Pressure to make policy issues gender neutral, as in the cases of policy debates concerning child care and anti-violence against women, had initially been put onto public policy agendas by feminist advocates. The broader influence of neoliberalism and post-neoliberalism (also known as the social-investment perspective) in Canada has amplified this trend. Global trends toward neoliberalism encouraged less state involvement and reduced public spending on the welfare state from the 1980s into the 1990s, with detrimental effects on women's policy. Moreover, feminist women's groups and women's issues were increasingly labeled “special interests”; advocacy claims toward the state were routinely delegitimized by successive provincial and federal governments, although this trend was less pronounced under left-wing regimes than right-wing ones (Collier 2006; 2009). As Canada entered the new millennium, many social-policy researchers identified a renewed state interest in reinvestment in social programs to position the state better in a competitive global marketplace. This newer shift toward the “social-investment perspective” is alleged to have consciously erased gender from social policy debates, particularly in the child-care arena (see Jenson 2009).
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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 | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.049 | 0.031 |
| Scholarly communication | 0.016 | 0.003 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".