MétaCan
Menu
Back to cohort
Record W4320727636 · doi:10.1111/imig.13121

The ‘contract’ and its discontents: Can it address protection gaps for migrant agricultural workers in Canada?

2023· article· en· W4320727636 on OpenAlexafffundabout
Tanya Basok, Eric Tucker, Leah F. Vosko, C. Susana Caxaj, Jenna Hennebry, Stephanie Mayell, Janet McLaughlin, Anelyse M. Weiler

Bibliographic record

VenueInternational Migration · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsUniversity of VictoriaUniversity of TorontoUniversity of WindsorWilfrid Laurier UniversityBalsillie School of International AffairsYork UniversityWestern University
FundersEmployment and Social Development Canada
KeywordsNegotiationCommonwealthContext (archaeology)Vulnerability (computing)Migrant workersAgricultureEconomic growthBusinessPolitical sciencePublic administrationEconomicsLawGeographyComputer security

Abstract

fetched live from OpenAlex

Abstract Canada's Seasonal Agricultural Worker Program has often been portrayed as a model for temporary migration programmes. It is largely governed by the Contracts negotiated between Canada and Mexico and Commonwealth Caribbean countries respectively. This article provides a critical analysis of the Contract by examining its structural context and considers the possibilities and limitations for ameliorating it. It outlines formal recommendations that the article co‐authors presented during the annual Contract negotiations between Canada and sending states in 2020. The article then explains why these recommendations were not accepted, situating the negotiation process within the structural context that produces migrant workers' vulnerability, on the one hand, and limits the capacity of representatives of sending and receiving states to expand rights and offer stronger protections to migrant farmworkers, on the other hand. We argue that fundamental changes are required to address the vulnerability of migrant agricultural workers. In the absence of structural changes, it is nevertheless important to seek improvements in the regulation of the programme through any means possible, including strengthening the Contract.

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 score0.230
Threshold uncertainty score0.260

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 head0.041
GPT teacher head0.284
Teacher spread0.243 · 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

Citations11
Published2023
Admission routes3
Has abstractyes

Explore more

Same venueInternational MigrationSame topicMigration and Labor DynamicsFrench-language works237,207