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Navigating the Productive/Reproductive Split: Latin American Transnational Mothers and Fathers in Canada's Temporary Migration Programs

2013· article· en· W1522291695 on OpenAlexaffabout
Melissa Mary Paciulan, Kerry Preibisch

Bibliographic record

VenueTransnational Social Review · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsLatin AmericansPolitical scienceDemographic economicsGeographyGender studiesEconomic geographyEconomic growthSociologyEconomicsLaw

Abstract

fetched live from OpenAlex

This article explores the experiences of transnational agricultural migrant workers in Canada's guestworker programs. Examined through a gendered lens, it focuses on migrants' experiences as parents to children whom they must leave behind in their communities of origin when they migrate. Drawing on interview and ethnographic data, this article argues that transnational parents, especially mothers, face a unique set of challenges and barriers as participants in these programs. It explores how the injustices in the immigration-labor regime that migrants confront as racialized, non-citizen farm workers impact parents' ability to focus on their primary motivation to migrate—their children—thereby limiting their ability to fulfill idealized forms of motherhood and fatherhood and hindering their parent-child relationships. It also demonstrates that migrant mothers frequently experience increased feelings of self-doubt, guilt and inadequacy as transnational parents, which, in turn, diminishes the benefits of their migration.

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)0.002
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 score0.218
Threshold uncertainty score0.439

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0150.003
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.021
GPT teacher head0.301
Teacher spread0.279 · 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

Citations16
Published2013
Admission routes2
Has abstractyes

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