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Record W48627054 · doi:10.3138/jcfs.41.2.265

The Place of Migration in Girls’ Imagination

2010· article· en· W48627054 on OpenAlexvenueno aff
Dorte Thorsen

Bibliographic record

VenueJournal of Comparative Family Studies · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsnot available
Fundersnot available
KeywordsEthnographySociologyGender studiesSocial mobilityPopulationEveryday lifePolitical scienceSocial science

Abstract

fetched live from OpenAlex

This article focuses on rural girls’ aspirations of becoming migrants in a setting where girls are subjected to social constraints curtailing their movements in the midst of an otherwise mobile society, where mothers and grandmothers frequently recall their experiences in Ghana and Cote d'Ivoire, and boys set off on their first migration in their mid- or late teens. However, the high level of mobility affects both intergenerational relations and the ways in which girls can justify their wish to migrate. Based on multi-sited ethnographic research between 2002 and 2008 in Burkina Faso and Cote d'Ivoire, the article explores the ways in which images of success and material wealth of (trans)national migrants feed into adolescent girls ' imaginations of migration and its outcome. Furthermore, the article examines how everyday relationships in households influences girls’ imagination about their own position in the family. The aim is thus to understand how local conceptualizations of womanhood and migration practices both create a frame for female youth’s life worlds and provide them with a range of role models showing them how spatial and social mobility allows them to transcend boundaries but also generates new demands on their resources. The article argues that the social status ascribed to migrants in rural communities pushes adolescent girls to circumvent constraints on their mobility by marrying earlier and to avoid challenging their husband by accepting to use their economic resources for the benefit of the migrant household instead of enhancing their social status by sending remittances to their own family.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.019
Scholarly communication0.0070.005
Open science0.0010.005
Research integrity0.0020.003
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 head0.048
GPT teacher head0.382
Teacher spread0.334 · 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 designObservational
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

Citations17
Published2010
Admission routes1
Has abstractyes

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