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Record W2745765157 · doi:10.1177/183693911203700418

An International Perspective on Regulated Family Day Care Systems

2012· article· en· W2745765157 on OpenAlexaboutno aff
Elise Davis, R Freeman, Gillian Doherty, Malene Karlsson, L. Everiss, Jane Couch, Lyn Foote, Patricia J. Murray, Kathy Modigliani, Sue Owen, Sue Griffin, Martha Friendly, Grace McDonald, India Bohanna, Lara Corr, Lisa Smyth, Elisabeth Ianke Mørkeseth, Sissel Mørreaunet, Mari Ogi, Sumi Fukukawa, Jutta Hinke-Rahnau

Bibliographic record

VenueAustralasian Journal of Early Childhood · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsQuality assuranceProject commissioningBusinessQuality (philosophy)Perspective (graphical)Quality managementPublic relationsBest practicePublishingMarketingManagementPolitical science

Abstract

fetched live from OpenAlex

DESPITE EMERGING EVIDENCE OF THE contributors to high-quality family day care, a comprehensive comparison of international family day care systems has not been undertaken. The aim of this paper is to compare regulated family day care (FDC) in Australia, Canada, England and Wales, Germany, Ireland, Japan, Norway, New Zealand, Sweden, and the USA, using standard information about FDC usage and each country's structural characteristics, regulatory approach, quality assurance indicators, supervision and support, and sector challenges. A template was developed by representatives of the International Family Day Care Organisation, including academics, FDC providers, and FDC educators and management staff. The paper demonstrates that, although the existing body of published research is sufficient to provide clear guidance for developing and maintaining quality FDC, this knowledge is not always being applied in current practices. Three practices, each pertaining to several countries, are of concern: (a) minimal requirements for being a regulated FDC provider, (b) minimal quality assurance guidelines, and (c) minimal provider supports. There is great potential to learn from countries that have a high level of success in providing high-quality FDC and strong support for providers and families.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.672
Threshold uncertainty score0.615

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.017
GPT teacher head0.314
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations29
Published2012
Admission routes1
Has abstractyes

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