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Record W4233998632 · doi:10.1504/ijmbs.2019.099697

Contestations of the heart: Mexican migrant women and transnational loving from rural Ontario

2019· article· en· W4233998632 on OpenAlexaboutno aff
Evelyn Encalada Grez

Bibliographic record

VenueInternational Journal of Migration and Border Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsCommodificationHuman sexualityGender studiesSociologyImmigrationResistance (ecology)Economic JusticePolitical scienceEconomic growthLawEconomyEconomics

Abstract

fetched live from OpenAlex

Canada's temporary foreign worker programs (TFWPs) structure flexible labour regimes that provide 'just-in-time' workers for select industries. Through these programs, workers are commodified into units of production with minimal rights and excessive restrictions on their comportment. In this paper I focus on the restrictions placed on migrant women's bodies, desires, and sexualities through the long- standing Seasonal Agricultural Workers Program (SAWP). Based on 16 years of community engaged research in rural Canada and Mexico, I demonstrate that from the point of recruitment in Mexico, to their encounters with Canadian employers, to the seasons of life and work between rural Canada and rural Mexico, migrant women are barred from fully expressing love, desire, and sexualities. I delve into contestations of the heart and argue that the love and desire that migrant women assert are among the many forms of resistance to their commodification within a coercive labour and immigration regime that favours production over reproductions of love and affection. I argue that social justice projects must account for the frontiers of the heart and the right to love beyond borders to be fully emancipatory.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.238
Threshold uncertainty score0.478

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0340.017
Scholarly communication0.0070.002
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.316
Teacher spread0.300 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations4
Published2019
Admission routes1
Has abstractyes

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