MétaCan
Menu
Back to cohort
Record W2468400337 · doi:10.1080/1369183x.2016.1202752

The social quarantining of migrant labour: everyday effects of temporary foreign worker regulation in Canada

2016· article· en· W2468400337 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Ethnic and Migration Studies · 2016
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsAcadia UniversityUniversity of Guelph
Fundersnot available
KeywordsDemographic economicsLabour economicsMigrant workersImmigrationBusinessPolitical scienceEconomicsEconomic growthLaw

Abstract

fetched live from OpenAlex

Low-wage migrant workers in wealthy nations occupy an ambiguous social and legal status that is inseparable from global economics and politics. This article adds to the growing and diverse literature on temporariness in labour and citizenship by reviewing Canada’s internationally recognised ‘model’ programme, the Seasonal Agricultural Worker Program (SAWP). Specifically, we present research on a small but rapidly growing peripheral pocket of workers in Nova Scotia, a less populated and more economically depressed province. Interview with former SAWP participants demonstrate how the uncertainty characterising the legal, immigration, and employment status of seasonal agricultural workers is socially practised and individually experienced. In particular, we show how specific elements of current migrant labour regulation have everyday effects in organising and delimiting non-work dimensions of migrant workers’ lives. In attending to the spatio-temporal dimensions of migrant workers’ lives we develop the concept social quarantining as a characteristic feature of former workers’ experiences ‘on 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.

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 score0.502
Threshold uncertainty score0.963

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 head0.063
GPT teacher head0.395
Teacher spread0.332 · 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