Grandparenting left-behind children in Javanese Migrant-sending villages: Trigenerational care circuits and the negotiation of care
Bibliographic record
Abstract
Parental labour migration requires recalibrations of care arrangements within the left-behind family. Existing studies of left-behind families, however, have largely concentrated on parental rather than grandparental caregiving of grandchildren. We argue that grandparents are pivotal to care work and changing family formations within migrant-sending villages. Grandparents provide supplementary care, substitutive care and even reconstitutive care, depending on the migration and marital status of the parents. The paper emphasizes the often unilateral care-contracts between grandparents and migrant parents, drawing on material primarily from the qualitative interviews of grandparent carers of left-behind children, and the grandchildren themselves. By considering a variety of family contexts in flux as a result of parental migration (mother, father or both parents) and marital dissolution amidst migration, we examine family situations holistically by taking into account the different modes of care provided by grandparents (occasionally in tandem with aunts) within changing care contexts.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".