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Record W2909097562 · doi:10.7202/1064679ar

A STORY OF DEBT AND BROKEN PROMISES? THE recruitment of guatemalan MIGRANT workers IN QUEBEC

2019· article· en· W2909097562 on OpenAlexafffundvenueabout
Dalia Gesualdi‐Fecteau, Andréanne Thibault, Nan Schivone, Caroline Dufour, Sarah Gouin, Nina Monjean, Éloïse Moses

Bibliographic record

VenueRevue québécoise de droit international · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsUniversité du QuébecUniversité du Québec à MontréalUniversité de Sherbrooke
FundersUniversité du Québec à Montréal
KeywordsIntermediaryImmigrationDemographic economicsNormativeDebtBusinessWork (physics)Labour economicsMigrant workersPolitical scienceEconomic growthEconomicsFinanceEngineeringLaw

Abstract

fetched live from OpenAlex

For the past two decades, the number of immigrants admitted to Canada has remained relatively stable while the number of workers admitted with a temporary work permit has steadily increased. This phenomenon is explained by a shift in Canadian public policies that direct the management of labour migration. Recent research has shed light on the complex and highly ramified transnational network that allows the recruitment of temporary foreign workers. Agricultural Guatemalan workers are hired through the Temporary Foreign Worker Program and the recruitment process is controlled by private recruitment intermediaries. Some abusive recruitment practices have been consistently reported. This article seeks to present the results of an empirical study documenting the recruitment by Quebec employers of Guatemalan agricultural workers and will discuss the normative framework regulating the recruitment of Guatemalan temporary foreign workers.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.569
Threshold uncertainty score0.873

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.019
GPT teacher head0.281
Teacher spread0.263 · 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

Citations5
Published2019
Admission routes4
Has abstractyes

Explore more

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