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Record W1874830625 · doi:10.22329/wyaj.v31i2.4410

RACIALIZED IN JUSTICE: THE LEGAL AND EXTRA-LEGAL STRUGGLES OF MIGRANT AGRICULTURAL WORKERS IN CANADA

2013· article· en· W1874830625 on OpenAlexaffvenueabout
Adrian A. Smith

Bibliographic record

VenueWindsor Yearbook of Access to Justice · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsCarleton University
Fundersnot available
KeywordsRacializationCapitalismPolitical scienceSupreme courtRacismLabour lawSociologyEconomic JusticeFreedom of associationLawHuman rightsPolitics

Abstract

fetched live from OpenAlex

Considerable attention has been directed at the Supreme Court of Canada’s 2011 Fraser decision regarding the constitutional right to freedom of association of agricultural workers in Ontario. While these interventions rightly tend to chastise the Court’s ruling denying meaningful associational rights, a marked indifference exists toward the racialized dimensions of the ruling and of agricultural labour production in Canada more broadly. But an application of the insights of critical race theory, while necessary to addressing the limits of contemporary jurisprudential and scholarly legal analysis, fails to sufficiently confront the particularities of labour exploitation embedded in Canada’s temporary labour migration regime. Striving to deepen the study of racialization, labour and law in Canada, I situate the legal and extra-legal struggles of migrant agricultural workers within an anti-racist class analysis of law attentive to the ways racialization and racism infuse labour migration. The racialized class construction of migrant labour -- a “structural necessity” within agricultural production -- occurs through the imposition of politico-legal impediments organized through global capitalism and the system of national states. The analysis ends by advocating a turn away from prevailing approaches to the study and practice of labour law to a transgressive agenda concerned with openly contesting capitalist exploitation in all forms including racialized legal regulation of migrant agricultural labour.

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 score0.313
Threshold uncertainty score0.299

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 studies0.0000.000
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 head0.017
GPT teacher head0.285
Teacher spread0.267 · 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

Citations14
Published2013
Admission routes3
Has abstractyes

Explore more

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