Of scalar hierarchies and welfare redesign: child care in three Canadian cities
Bibliographic record
Abstract
Scalar theory has recently come under attack for its emphasis on hierarchy. Yet the notion of scalar hierarchies cannot be abandoned if we want to understand actually‐existing social relations and the governance structures in which they are enmeshed. The conception of hierarchy employed by political economists is also more complex than that suggested by the ‘Russian dolls’ metaphor. A multiplicity of diversely structured, overlapping interscalar hierarchies operate in and across diverse policy fields. While these arrangements clearly influence what happens at the local scale, sufficient room often exists for local actors to modify the effects. The complexity of scalar hierarchies is illustrated through an analysis of the governance of child care provision in Canada. Child care arrangements are becoming integral to social reproduction in post‐industrial economies, where women form an increasingly important part of the labour force. This paper focuses on child care in three of Canada's largest cities, each of which is subject to a distinct provincial regime through which federal contributions are filtered. Yet, as we shall see, these cities are more than ‘puppets on a string.’
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.019 | 0.012 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".