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Record W1904457413 · doi:10.18740/s45p4t

Pacifying the ‘Armies of Offshore Labour’ in Canada

2013· article· en· W1904457413 on OpenAlexaffvenueabout
Adrian A. Smith

Bibliographic record

VenueSocialist studies · 2013
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsState (computer science)Capital (architecture)Context (archaeology)Political sciencePolitical economySociologyGeography

Abstract

fetched live from OpenAlex

An exploration of the link between pacification and global apartheid in the context of the racialized effects of neoliberal labour migration is undertaken. Drawing on the general layout of Canada’s temporary labour migration regime, the legal regulation of migrant labour is taken as a project of pacification that enforces apartheid conditions. Juxtaposed against the construction of migrant labour as menace or threat to ‘host’ communities in Canada, the growing need for “armies of offshore labour” presents an especially acute challenge for capital and national states. Despite certain perceptions that it is freed from national state constraints owing to the hyper-competitiveness of contemporary migration, capital remains deeply beholden to the politico-legal interventions of states, both sending and receiving. Situated within the hierarchical and uneven logic of the nation-state system and global capitalist development, pacification becomes a way in which capital and states attempt to mediate contradictions and govern not “insecurities” surrounding human mobility but rather the need to fabricate productive labour, a need contingent upon the complex transnational legal regulatory dynamic of unfree migrant labour which itself relies upon and perpetuates apartheid.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.270
Threshold uncertainty score0.823

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.093
GPT teacher head0.418
Teacher spread0.324 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2013
Admission routes3
Has abstractyes

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