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Record W2766682901 · doi:10.1111/glob.12177

Don't call me <i>ibu</i>: challenges of belonging for childless transnational Indonesian women

2017· article· en· W2766682901 on OpenAlexfundno aff
Monika Winarnita

Bibliographic record

VenueGlobal Networks · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
FundersUniversity of Victoria
KeywordsNephew and nieceIndonesianGender studiesContext (archaeology)NarrativeSociologySubject (documents)Lived experiencePolitical scienceHistoryPsychology

Abstract

fetched live from OpenAlex

Abstract New forms of transnational families are being created by the feminization of migration, particularly of mobile Southeast Asian female workers who take on the financial responsibility of supporting their nieces and nephews who remain in the home country. This understudied kin relationship provides important insights into the complexities of transnational belonging among childless women. Fieldwork conducted in 2015 with Indonesian professional migrant women in Melbourne, Australia, reveals a translocalized Javanese cultural practice of fostering nieces and nephews. Using a framework that extends the anthropology of belonging into a gendered transnational context, in this article I argue that children who are absent, whether living in another country or never born, are yet present in women's narratives and are key to a larger migrant project of recreating oneself as an ambiguously valued subject.

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 score0.014
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.013
Scholarly communication0.0060.004
Open science0.0010.009
Research integrity0.0010.003
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 head0.015
GPT teacher head0.292
Teacher spread0.277 · 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

Citations5
Published2017
Admission routes1
Has abstractyes

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