‘Like it, don’t like it, you have to like it’: children’s emotional responses to the absence of transnational migrant parents in Lombok, Indonesia
Bibliographic record
Abstract
This article explores the experiences and emotions of children in rural East Lombok, Indonesia, who stay behind with relatives or neighbours while their parents leave the country for work. The article contributes to recent scholarship of children’s experiences of transnational migration in Southeast Asia by drawing out the complex emotions of children who stay behind. Based on research conducted in four ‘sending’ villages, the article describes children’s lived experiences of their parent’s transnational migration, and their intense feelings that whether they ‘like it or don’t like it’, they have no choice but to acquiesce to their parents’ long, often indeterminate absences. The research suggests that stay-behind children are entangled in community anxieties pervading the emotional economy of transnational migration, including the embodied emotion of shame (malu) which shapes children’s responses to parental absence. By focusing on children’s own views and experiences, we contribute to growing debates about the implications of migration for children’s rights and well-being in Southeast Asia.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| 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".