“I Don’t Know Where I Have to Knock for Support”: A Mixed-Methods Study on Perceptions and Experiences of Single Mothers Raising Children in the Democratic Republic of Congo
Bibliographic record
Abstract
Introduction and Objectives: It is well-documented that single mothers in sub-Saharan Africa face unique psychosocial challenges which can lead to child health and developmental disadvantages, often impacting life trajectories for both the mother and child. Years of instability, conflict, and widespread poor governance within the Democratic Republic of Congo (DRC) have resulted in magnified challenges for parents, making it more difficult to provide supportive and effective parenting. To address gaps in knowledge regarding the specific challenges experienced and adaptations made among single mothers raising children in contexts of adversity, the present study aimed to investigate the phenomenon of single mother parenting in the DRC. Methods: Cognitive Edge SenseMaker, a mixed-method data collection tool, was used to collect self-interpreted narratives among parents in eastern DRC. Quantitative SenseMaker data were uploaded into Tableau, a data organization and analysis tool, to visualize differences in response patterns between single mother (n = 263) and two-parent family study participants (n = 182). Single mother micronarratives (n = 251) were then coded line-by-line and analyzed thematically. Qualitative themes identified in the single mother micronarratives were used to facilitate a deeper and more nuanced understanding of key quantitative SenseMaker findings. Findings and Conclusions: Our study found that single mothers experienced immense challenges raising children in the DRC, including financial-, health- and parenting-related hardships. Single mothers described negative emotions and higher levels of household adversity while providing for their children in situations of extreme poverty compared to two-parent family respondents. Self-reliance was exhibited among most single mothers in an attempt to overcome challenges, primarily financial barriers, and to prioritize the health and well-being of their children. However, many children still lacked access to sufficient food, education, and healthcare. Limited governmental and social security support for single mothers was identified as contributing to heightened challenges and the self-reliance observed among single mothers. Findings emphasize that additional research and attention should be directed towards identifying the specific needs of, and available resources for, single mothers in different localities in an effort to inform policies and programs that best support families.
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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 | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".