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Record W2601401240

Engendering Transnational Voices: Studies in Family, Work and Identity

2016· article· en· W2601401240 on OpenAlexvenueaboutno aff
Jolin Joseph

Bibliographic record

VenueCanadian women's studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsTransnationalismGender studiesSociologyMobilitiesTransnationalityIdentity (music)ImmigrationMigration studiesPower (physics)CovertResidencePolitical scienceSocial sciencePoliticsLaw
DOInot available

Abstract

fetched live from OpenAlex

ENGENDERING TRANSNATIONAL VOICES: STUDIES IN FAMILY, WORK AND IDENTITY Guida Man and Rina Cohen, Eds. Waterloo: Wilfrid Laurier University Press, 2015 [ILLUSTRATION OMITTED] Sustained and stretched across time and geographies, transnational families lie at the heart of the migration project. Engendering Transnational Voices is a welcome addition to this body of work that takes a nuanced look at the transnational^ lived lives of women, youth and the elderly through a feminist intersectional optic. Such a perspective allows for careful consideration of networks, discourses, social spaces, and circuits of care. In mapping distinct configurations of transnational existence, the collection expands current deployments of transnationalism to consider the complex socio-spatiality of migrant experience. The introductory chapter charts the expansive terrain of transnational migration literature, pointing to the mutually productive relationship between gender, migration and other axes of power. The book is organized along four interrelated thematics, theoretically and empirically traversing questions of identity, power, and processes of globalization, migration, and marginalization that coalesce to differentially impact transmigrants. The first section follows the (reconfiguration of transnational family life via home and host states' influence at the familial scale. Through excerpts from broader studies on twice-migrated South Asian skilled migrants and professional Chinese immigrant women respectively, Das Gupta and Man examine migration to Canada as marked by a fraught history of discriminatory practices that mediate migrants' labour market position, resulting in dramatic deskilling and downward mobility. Hari and Mandel et al. further unpack frameworks that circumscribe migrant lives, situating senior migration and co-residence as twin conduits of intergenerational care and financial transfers. Given the structural inequalities and systemic racism in the Canadian context, families mobilize transnational tactics of split families, parenting from afar, networks and/or intergenerational care arrangements to meet productive and reproductive goals. The subsequent section considers multidirectional, reciprocal and asymmetric circulations of care labour, demonstrating how a receding welfare state offloads costs of child and elder care onto individuals and households, particularly women. In tracing the transnational trajectories of Filipina migrant women, Francisco highlights the ways that transnational families adapt, through redistribution of care provisions and incorporation of kin networks. Elabor-Idemudia discusses how gendered-racialized ideologies script institutional processes that produce migrants' subordinate status while concomitantly benefiting from the developmental impact of remittances. Highlighting the intricacies of caring transnationally, Brigham investigates multiple modes through which migrant mothers negotiate identities, roles and social spaces, as Cohen presents dynamic strategies of 'cybermothering' and surrogates that support geographically-split families in retaining their sense of collectivity and kinship. …

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: none
Teacher disagreement score0.036
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.006
Science and technology studies0.0090.018
Scholarly communication0.0070.009
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.051
GPT teacher head0.324
Teacher spread0.273 · 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
Published2016
Admission routes2
Has abstractyes

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