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Record W2897885130 · doi:10.1177/0197918318804769

Serial Labor Migration: Precarity and Itinerancy among Filipino and Indonesian Domestic Workers

2018· article· en· W2897885130 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Migration Review · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPrecarityEmigrationIndonesianMigrant workersSettlement (finance)Labor mobilityDemographic economicsWageLabour economicsPolitical scienceSociologyEconomicsEconomic growthGender studies

Abstract

fetched live from OpenAlex

This article examines the mobility patterns of migrant domestic workers in the United Arab Emirates. It identifies and explains the emergence of serial labor migration , which we define as the multi-country, itinerant labor migration patterns of temporary low-skilled migrant workers. It argues that policy contexts shaping temporary labor migration, as they impose precarious and prohibitive conditions of settlement in both countries of origin and destination, produce the itinerancy of low-skilled migrant workers. We offer a holistic analysis of the migration process of temporary labor migrants, shifting away from a singular focus on the process of emigration, integration, or return and toward an examination of each stage as a co-constitutive step in the migration cycle. Our analytic approach enables us to illustrate the state of precarity and itinerancy that follows low-wage migrant workers across the various stages of the migration cycle and produces serial migration patterns among migrant domestic workers from the Philippines and Indonesia.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.736
Threshold uncertainty score0.901

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.321
Teacher spread0.308 · 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