Associations between child marriage and food insecurity in Zimbabwe: a participatory mixed methods study
Bibliographic record
Abstract
BACKGROUND: Child marriage is a global crisis underpinned by gender inequality and discrimination against girls. A small evidence base suggests that food insecurity crises can be both a driver and a consequence of child marriage. However, these linkages are still ambiguous. This paper aims to understand how food insecurity influences child marriage practices in Chiredzi, Zimbabwe. METHODS: Mixed methods, including participant-led storytelling via SenseMaker® and key informant interviews, were employed to examine the relationship between food insecurity and child marriage within a broader context of gender and socio-economic inequality. We explored the extent to which food insecurity elevates adolescent girls' risk of child marriage; and how food insecurity influences child marriage decision-making among caregivers and adolescents. Key patterns that were generated by SenseMaker participants' interpretations of their own stories were visually identified in the meta-data, and then further analyzed. Semi-structured guides were used to facilitate key informant interviews. Interviews were audio-recorded, and transcribed and translated to English, then imported into NVivo for coding and thematic analysis. RESULTS: A total of 1,668 community members participated in SenseMaker data collection, while 22 staff participated in interviews. Overall, we found that food insecurity was a primary concern among community members. Food insecurity was found to be among the contextual factors of deprivation that influenced parents' and adolescent girls' decision making around child marriage. Parents often forced their daughters into marriage to relieve the household economic burden. At the same time, adolescents are initiating their own marriages due to limited alternative survival opportunities and within the restraints imposed by food insecurity, poverty, abuse in the home, and parental migration. COVID-19 and climate hazards exacerbated food insecurity and child marriage, while education may act as a modifier that reduces girls' risk of marriage. CONCLUSIONS: Our exploration of the associations between food insecurity and child marriage suggest that child marriage programming in humanitarian settings should be community-led and gender transformative to address the gender inequality that underpins child marriage and address the needs and priorities of adolescent girls. Further, programming must be responsive to the diverse risks and realities that adolescents face to address the intersecting levels of deprivation and elevate the capacities of adolescent girls, their families, and communities to prevent child marriage in food insecure settings.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| 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".