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Record W2041088624 · doi:10.3167/fcl.2010.570106

Classifying the “ideal migrant worker”

2010· article· en· W2041088624 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueFocaal · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsWilfrid Laurier University
FundersInternational Development Research Centre
KeywordsIdeal (ethics)SubalternCitizenshipCapitalismGender studiesState (computer science)IdeologySociologyNationalityOppressionCircular migrationUnit (ring theory)Political sciencePolitical economyImmigrationLawPolitics

Abstract

fetched live from OpenAlex

This article analyzes the ideology and practice of multi-unit competition that pervades neoliberal subjectivities and produces the “ideal” flexible worker within contemporary global capitalism. It demonstrates how state and capitalist interests converge to influence the selection of the ideal transnational migrant worker, how prospective migrants adapt to these expectations, and the consequences of such enactments, particularly for migrants, but also for the societies in which they live and work. Multiple levels of actors—employers, state bureaucrats, and migrants themselves—collude in producing the flexible, subaltern citizen, which includes constructions and relations of class, race, gender, and nationality/citizenship. The case study focuses on Mexican and Jamaican participants in Canada's Seasonal Agricultural Workers Program, a managed migration program that legally employs circular migrant farmworkers from Mexico and several English-speaking Caribbean countries in Canadian agriculture.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.750
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.034
GPT teacher head0.299
Teacher spread0.265 · 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