Balancing Reproductive and Productive Responsibilities: Childcare Strategies Implemented by Migrant Mothers in the Thailand–Myanmar Border Region
Bibliographic record
Abstract
Background: In Myanmar, formerly known as Burma, conflicts between ethnic minorities, the government, and the military have been ongoing for decades. Enduring unrest has caused thousands to flee to the region around Mae Sot, a city on Thailand’s western border. Women around the world assume a combination of reproductive and productive responsibilities, and during situations of armed conflict and displacement, conditions for women often worsen. This study investigated the parenting experiences of female migrants from Myanmar living in protracted refugee situations in Mae Sot. Methods: This research was part of a mixed-methods international comparative study on the experiences of parenting in adversity. In this analysis, 62 first-person qualitative narratives shared by migrant mothers in the Thailand–Myanmar border region were inductively analyzed using the Qualitative Analysis Guide of Leuven method. Results: The results highlight how migrant mothers undertake significant reproductive responsibilities, such as breastfeeding and child-rearing, as well as productive responsibilities, including paid labour in the agricultural, formal, and informal sectors. In order to care and provide for their families, female migrants in the Thailand–Myanmar border region utilized four childcare strategies: caring for children while working, caring for children instead of working, dispersing responsibilities amongst extended family members and children, and delegating reproductive responsibilities to formal and non-familial caretakers. Conclusions: Most mothers shared stories in which they or their immediate family members cared for their children, rather than depending on neighbours or formal childminders. Female migrants may face challenges locating desirable work that is compatible with childcare, rendering certain childcare arrangement strategies more prevalent than others. Further research could elucidate these challenges and how opportunities for gainful employment that are conducive to childcare can be generated for women living in protracted refugee situations.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".