MétaCan
Menu
Back to cohort
Record W192518390 · doi:10.4000/urmis.810

Minding the Gap: Feminist perspectives on policies affecting immigrant labor in the domestic services industry in Europe

2009· article· en· W192518390 on OpenAlexaff
Kerry Pannell, Meryl Altman

Bibliographic record

VenueCahiers de l’Urmis · 2009
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsImmigrationGovernment (linguistics)Immigration policyPrivate sectorGlobalizationEconomicsLabour economicsPolitical scienceBusinessEconomic growthMarket economyLaw

Abstract

fetched live from OpenAlex

Many scholars have noted that a gap exists between government immigration policies and actual outcomes in the labour market. For a variety of reasons, laws are not enforced and policies are not adjusted to reflect the new realities of employers’ demand for labour. This tacit acceptance of the inflow of undocumented workers perpetuates the invisibility of these immigrants with regard to labour policy, and it denies immigrants important safety and security protections granted other workers.This gap between immigration law, government policy and outcomes is perhaps most pronounced with regard to domestic workers, most of whom are women. Female migrants have little access to formal sector jobs, and therefore take on informal sector jobs, typically those derived from traditionally delineated gender roles. These jobs include what Bridget Anderson calls “the three C’s”: cooking, cleaning and caring. Given ongoing globalization and concomitant disparities in income between rich and poor nations, women will continue to migrate from developing countries, travelling to Europe to find work in other people’s homes.Using a comparative framework, we apply feminist theory to the case of undocumented domestic workers in various European countries to analyze this gap between government policy and outcomes. We find that the policy gap persists in both new and old destination countries, partly due to the private nature of the domestic work environment, but that trade unions are more active in older destination countries, indicating that some progress toward protecting domestic workers rights can be made through collective action.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.231
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
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 head0.028
GPT teacher head0.386
Teacher spread0.358 · 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.

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

Citations9
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueCahiers de l’UrmisSame topicEmployment and Welfare StudiesFrench-language works237,207