Don't call me ibu: challenges of belonging for childless transnational Indonesian women
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.016 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".