Perceptions of local governments, health facilities, and communities on child marriage: A qualitative study in Son La province, 2022
Bibliographic record
Abstract
Child marriage remains an issue worldwide, impacting the lives of millions of children, especially young girls, in economically poor and developing countries, including Vietnam, particularly in ethnic minority areas, where education and cultural awareness are still limited. This study aimed to explore the perceptions of local governments, healthcare providers, and community members regarding child marriage in Son La province, Vietnam, and to identify potential interventions to address this issue. A qualitative approach with thematic analysis was adopted to collect data from 18 parents from both the Kinh and ‘H’Mong ethnic minority groups in Son La Province from March to May 2022. The results showed four main themes: (1) persistence of child marriage despite decreasing trends, (2) causes of child marriage, (3) awareness of health consequences, and (4) proposed interventions for education and economic empowerment. The underreporting of cases and gaps between legal frameworks and community practices were identified as the key challenges. This study has provided valuable insights into the situation of child marriage in Son La province, Vietnam, highlighting the interplay of socioeconomic factors, traditional norms, and limited education in its persistence.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".