Return of the Nanny: Public Policy towards In‐home Childcare in the UK, Canada and Australia
Bibliographic record
Abstract
Abstract Research on early childhood education and care (ECEC) policy focuses overwhelmingly on formal, centre‐based provision and, to a lesser extent, on family day care (or childminding) provided in the homes of registered carers. Comparatively little research addresses the policy treatment of care provided in the child's home by nannies and au pairs. This article examines the position of in‐home childcare in Australia, the UK and Canada, and the varied nature and extent of public funding and regulation. Introducing a new dimension into comparative studies of ECEC, it also explores how shifts in migration policy in each country have intersected with ECEC funding and regulation to reshape the recruitment and employment of in‐home child carers. Australia, the UK and Canada are all liberal, market‐oriented countries, but there is considerable diversity in the way governments support and regulate in‐home childcare, their rationales for so doing, and in the connections between childcare and migration. We argue that connecting the analysis of in‐home childcare to migration policies raises new questions about the classification and comparison of ECEC policies.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".