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Nannies, Migration and Early Childhood Education and Care

2016· book· en· W4255883071 on OpenAlex
Elizabeth Adamson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePolicy Press eBooks · 2016
Typebook
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsNormativeSocioeconomic statusEarly childhood educationChild careSituatedPaid workCare workWork (physics)Political scienceDemographic economicsEconomic growthSociologyPopulationLabour economicsMedicineNursingEconomics

Abstract

fetched live from OpenAlex

Once considered the preserve of the wealthy, nanny care has grown in response to changes in the labour market, including the rising number of mothers with young children, and increases in non-standard work patterns. This book examines the place of in-home childcare, commonly referred to as care by nannies, in Australia, the United Kingdom and Canada since the 1970s. In contrast to childminding or family day care provided in the home of the carer, in-home care takes place in the child’s home. The research extends beyond the early childhood education and care domain to consider how migration policy facilitates the provision of childcare in the private home. New empirical research is presented about in-home childcare in Australia, the United Kingdom and Canada, three countries where governments are pursuing new ways to support the recruitment of in-home childcare workers through funding, regulation and migration. The compelling policy story that emerges illustrates the implications of different mechanisms for facilitating in-home childcare - for families and for care workers. It proposes that these differences are shaped by both structural and normative understandings about appropriate forms of care that cut across gender, class/socioeconomic status and race/migration. Overall, it argues that greater attention needs to be given to the way childcare work in the private home is situated across ECEC and migration policy.

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.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.969
Threshold uncertainty score0.391

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.012
GPT teacher head0.226
Teacher spread0.213 · 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