Bibliographic record
Abstract
New and reconfigured structures of policymaking and governance present fresh challenges to gender equality seekers, especially in federal systems. In a world in which policy functions are increasingly being “uploaded” to international or supranational levels, “downloaded” to meso-level units, or “offloaded” to civil society and private enterprises (Banaszak, Beckwith, and Rucht 2003), the links among institutional design, policy activism, and policy outcomes provide fruitful opportunities for empirical research and theory building. This essay asks what impact state architectures have on women's political mobilization around child care. How might we theorize the effects of different types of federation and multilevel governance on child-care activists' political opportunities and achievement of policy outcomes? How adequate are existing frameworks for explaining links among policy actors, state institutions, civil society, and international business? We sketch some preliminary answers and show how recognizing the significance of the multiple scales and layers involved in contemporary governance can expand feminist research agendas and promote gender-sensitive policymaking. Child care is increasingly understood as an essential component of contemporary welfare states (Michel and Mahon 2002). Well-designed child-care programs help time-pressed earner parents reconcile work and family life and make it possible for lone parents to improve their economic situation through paid work. Universal early childhood education and care (ECEC) also lays the foundations for lifelong learning, indispensable for success in knowledge-based, postindustrial economies. Adequate public support for ECEC systems generates good postindustrial jobs for early childhood educators who work in publicly financed, regulated settings instead of in low-paid, informal, caregiving situations (Esping-Andersen 1999). Developing high-quality, universal ECEC in federal systems with divided jurisdictional responsibility, however, faces particular challenges. Most comparative social policy and welfare regime literature ignores state architectures by assuming that unitary state forms are the norm and focusing purely on nation-state governments and policymaking (Esping-Andersen 1999). Advocacy and policy initiatives on international or meso-level scales typically are ignored or underexplored.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.020 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| 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".