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Record W4399618491 · doi:10.1177/10608265241261167

Men, Masculinities and Transnational Migration in the Canadian Context: A Scoping Review

2024· review· en· W4399618491 on OpenAlexaffabout
Abu Saleh Mohammad Sowad, Marc Lafrance

Bibliographic record

VenueThe Journal of Men s Studies · 2024
Typereview
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsConcordia University
Fundersnot available
KeywordsGender studiesScholarshipPrivilege (computing)Context (archaeology)TransnationalismSociologyPower (physics)Gender relationsInequalityPolitical sciencePoliticsGeography

Abstract

fetched live from OpenAlex

Our paper examines how scholarly research on transnational migration has addressed gender identities, focusing specifically on the construction of masculinities among transnational migrant men in Canada. While research on transnational female migrants acknowledges their heterogeneous experiences of gender, research on transnational male migrants often presumes that their experiences of gender are largely homogenous. To fill this gap in the literature, our paper presents a scoping review of peer-reviewed research that explores how transnational migration both unmakes and remakes migrant men’s gender identities in the Canadian context. Our study concludes that there is a need for more scholarship relating to transnational migrant men in Canada, particularly that which examines how masculinities are produced by and productive of changing social locations, cultural positionalities, patterns of inequality, and hierarchies of power and privilege.

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)0.007
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.276
Threshold uncertainty score0.556

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0150.024
Science and technology studies0.0040.004
Scholarly communication0.0070.003
Open science0.0020.002
Research integrity0.0020.002
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 head0.190
GPT teacher head0.472
Teacher spread0.282 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations7
Published2024
Admission routes2
Has abstractyes

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