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Record W2099916412 · doi:10.1111/ruso.12043

Does Citizenship Status Matter in <scp>C</scp>anadian Agriculture? Workplace Health and Safety for Migrant and Immigrant Laborers

2014· article· en· W2099916412 on OpenAlex
Kerry Preibisch, Gerardo Otero

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.

Bibliographic record

VenueRural Sociology · 2014
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsSimon Fraser UniversityUniversity of Guelph
FundersWorkSafeBC
KeywordsCitizenshipImmigrationLegislatureInclusion (mineral)Political scienceSociologyDemographic economicsEconomic growthGender studiesEconomicsLaw

Abstract

fetched live from OpenAlex

Abstract This article explores how precarious legal status circumscribes differential inclusion in the agricultural labor market and affects workers' lives through a comparative study of workplace health and safety among temporary migrant guest workers and immigrants in C anada. Original, multimethod research with S outh A sian immigrant and Mexican migrant farmworkers examines employment practices, working conditions, and health‐care access. We find that both groups engage in precarious work, with consequences for their health and safety, including immigrant workers with citizenship. Nevertheless, migrant guest workers are subject to more coercive forms of labor discipline and a narrower range of social protection than immigrants. We argue that while formal citizenship can mitigate some dimensions of precariousness for farmworkers racialized as non‐white, achieving a more just, safer food system will require broader policies to improve employer compliance and address legislative shortcomings that only weakly protect agricultural labor.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.931

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.015
GPT teacher head0.320
Teacher spread0.305 · 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