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Record W2022345148 · doi:10.1108/01443330510791171

Foreign Visitor, Exchange Student, or Family Member? A Study of Au Pair Policies in the United States, United Kingdom, and Australia

2005· article· en· W2022345148 on OpenAlexaff
Carrie Yodanis, Sean Lauer

Bibliographic record

VenueInternational Journal of Sociology and Social Policy · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsVisitor patternWork (physics)AmbiguityImmigrationState (computer science)BusinessValue (mathematics)Domestic marketLabour economicsEconomicsPolitical scienceInternational tradeLaw

Abstract

fetched live from OpenAlex

Approaches to state provision of childcare have typically focused on the relative weight of state or market provision. In this article we follow a new institutional approach to the relationship between states and markets to examine the au pair industry, emphasising the role of states in the creation of markets for childcare. Research on the market provision of childcare has focused on the ambiguity in defining caring as work, which has led to the low value of care work. In this article we propose that those ambiguities also exist at the state level and impact the creation of the market for foreign childcare. Examining the development of au pair policies in the US, UK, and Australia, we find three strategies that involve defining au pairs not as employees, but rather as foreign visitors, exchange students, or family members. These strategies allow for by passing restrictions on immigration, increasing the supply of care providers, and circumventing compliance with labour regulations, thereby reducing the cost to 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 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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score0.243

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0030.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.145
GPT teacher head0.460
Teacher spread0.315 · 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 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

Citations28
Published2005
Admission routes1
Has abstractyes

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