MétaCan
Menu
Back to cohort
Record W2334191591 · doi:10.1177/0304375415570198

The Neoliberal Governance of Global Labor Mobility

2016· article· en· W2334191591 on OpenAlexaff
Hironori Onuki

Bibliographic record

VenueAlternatives Global Local Political · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsYork University
Fundersnot available
KeywordsCommodificationLabor mobilityLabor relationsWageSubsistence agricultureImmigrationCapital (architecture)Corporate governanceLabor historyLabour economicsEconomicsPolitical economyPolitical scienceMarket economyGeography

Abstract

fetched live from OpenAlex

One feature of the “age of migration” in which we live has been an increasing movement of labor from the Global South to the North, mainly in “low-skill” and low-wage jobs. This article examines how far and in what ways contemporary capital-driven migration-related policies in labor-receiving and labor-sending states have shaped the subjectivity of transnational migrant workers and their positioning in host societies. It does so through the notion of new constitutional moments of primitive accumulation that designates the production of social spaces for the commodification of labor through the implementation of specific migration policies by labor-receiving states in the Global North, which is reinforced by the interests of labor-sending states in the Global South. By using this concept, especially with reference to changes in Japan’s immigration policy since the early 1990s, I argue that the governance of global labor mobility has not only separated migrant workers from their means of subsistence in the home societies but also constructed them as precarious subjects in the labor markets of the host societies.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.012
Scholarly communication0.0040.003
Open science0.0000.004
Research integrity0.0010.001
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 head0.014
GPT teacher head0.321
Teacher spread0.307 · 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 designTheoretical or conceptual
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

Citations6
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueAlternatives Global Local PoliticalSame topicMigration, Ethnicity, and EconomyFrench-language works237,207