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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 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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.437
Threshold uncertainty score0.921

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
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 head0.145
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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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