MétaCan
Menu
Back to cohort
Record W4220664818 · doi:10.1080/14747731.2022.2042930

Limits of solidarity: immigration enforcement, labour control and im/mobility in Washington State

2022· article· en· W4220664818 on OpenAlexaff
Leah Montange

Bibliographic record

VenueGlobalizations · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSolidarityImmigrationEnforcementContext (archaeology)State (computer science)Political sciencePower (physics)PoliticsSociologyPolitical economyLabour economicsEconomicsLawGeography

Abstract

fetched live from OpenAlex

This paper examines the entanglement of mobility, immobility, labour control, and immigration control in Washington State in the US. I analyse two cases: first, one where aggressive immigration enforcement has destabilized a local labour regime, impacting workers’ im/mobilities in ways that employers felt made their businesses vulnerable. In this case, employers responded with a politics of protection that involved cooperation with immigrant rights groups, but not in ways that challenge immigrant marginalization. Next, I analyse the H2A visa programme, a temporary foreign worker programme that concentrates power over labour’s mobility with the employer in ways that have made workers vulnerable to unfree work conditions. Together, these cases demonstrate how state control of im/mobilities can do different kinds of work in the context of the struggle between employers and workers. I apply this lens to reimagining labour solidarity that centres the freedom to move rather than the protection of workers’ marginality.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.133
Threshold uncertainty score0.264

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.005
Scholarly communication0.0040.002
Open science0.0000.005
Research integrity0.0010.002
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 head0.012
GPT teacher head0.288
Teacher spread0.277 · 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 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

Citations4
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueGlobalizationsSame topicMigration and Labor DynamicsFrench-language works237,207