MétaCan
Menu
Back to cohort
Record W4400980685 · doi:10.1504/ijmbs.2024.140138

Bordering of family and the social care of migrant farmworkers: men's gendered experiences of the global care chain

2024· article· en· W4400980685 on OpenAlexaffabout
Jill Hanley, Pankil Goswami, Guillermo Ventura Sanchez

Bibliographic record

VenueInternational Journal of Migration and Border Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsConcordia UniversityMcGill University
Fundersnot available
KeywordsChain (unit)Gender studiesSociologyEconomic growthEconomics

Abstract

fetched live from OpenAlex

This article explores how family separation, enforced by destination countries' bordering practices, denies the humanity of men migrant workers and places them in a situation of both family and social care deficit when they experience illness, loneliness or other personal difficulties while abroad. Drawing on semi-structured interviews in two studies about the social rights of migrant workers to Canada, we illustrate our arguments with two case studies of Guatemalan agricultural workers who experienced major health problems necessitating care. Given the impossibility of being joined by their families and their barriers to accessing social care in Canada, their care deficit was acutely evident. We conclude with a discussion of how examining the care needs of men migrant workers can advance our understanding of the global care chain from an expanded gender perspective and provide a basis for advocacy to abolish immigration policies that place borders within families and keep migrants outside the borders of social care.

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)0.003
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 score0.056
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0180.015
Scholarly communication0.0040.003
Open science0.0010.007
Research integrity0.0010.002
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 head0.032
GPT teacher head0.368
Teacher spread0.336 · 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

Citations1
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal of Migration and Border StudiesSame topicMigration, Ethnicity, and EconomyFrench-language works237,207