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Record W4383805950 · doi:10.56687/9781447330158-007

Rhetoric and rationales for in-home childcare

2016· book-chapter· en· W4383805950 on OpenAlexaboutno aff

Bibliographic record

VenuePolicy Press eBooks · 2016
Typebook-chapter
Languageen
FieldComputer Science
TopicEducational Systems and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsRhetoricSociologyPolitical sciencePsychologyPhilosophyLinguistics

Abstract

fetched live from OpenAlex

This chapter examines different interpretations and objectives of in-home child care in Australia, the UK and Canada, and the ways in which these diverging interpretations are reflected in the policy mechanisms of ECEC that facilitate, or do not facilitate, different forms of regulated and unregulated in-home child care. It brings together scholarship on early education and women’s workforce participation to present different reasons and rationales for government investment and spending on ECEC. National governments and advocates, and international organisations, increasingly emphasise a human capital approach to social policy. This frames ECEC around children’s ‘early learning and development’ and concerns about child poverty, which often extends to include parents’ workforce participation. The chapter is based on analysis of primary policy documents and interviews conducted with key policy stakeholders across the three countries. The final section discusses tensions and contradictions across and within countries in relation to two dichotomies.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.024
Threshold uncertainty score0.177

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0110.040
Scholarly communication0.0110.010
Open science0.0020.005
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0060.001

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 head0.045
GPT teacher head0.292
Teacher spread0.247 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2016
Admission routes1
Has abstractyes

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