Migration and absent fathers: Impacts on the mental health of left-behind family members in Thailand
Bibliographic record
Abstract
This paper examines whether children and main caregivers of overseas migrant fathers have fewer or more mental health symptoms compared to those of non-migrant fathers. The sample includes 997 households from the 2008 Child Health and Migrant Parents in South-East Asia project. The mental health measurements are the Strengths and Difficulties Questionnaire and the Self-Reporting Questionnaire. Compared to children of non-migrant fathers, those of migrant fathers are more likely to demonstrate conduct problems and hyperactivity/inattention. Factors which appear to impact a caregiver's mental health include the physical health status of children, caregiver's education level and household economic status. To reduce the risk of mental health problems on left-behind children, our findings imply the importance of encouraging and educating left-behind families to monitor the children's psychological well-being, especially those in father-migrant families.
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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".