Navigating Student Motherhood in a Precarious Urban Context: Perspectives from Higher Education in Uganda
Bibliographic record
Abstract
This paper reports findings of a study on young mothers living in Uganda’s poor urban areas which have been politically labeled as informal settlements and therefore not eligible for social services delivery. Although 59% of all school dropouts in Uganda are due to young motherhood, the national education policy, and practice automatically exclude young mothers. Past studies on student motherhood addressed student mothers of all ages, and were not focused on poor urban communities. The qualitative study involved young female participants enrolled in institutions of higher learning aged, between the 17 and 25 and investigated the magnitude of their marginalization and exclusion. Study participants were purposively selected using snowball technique. Data were collected using life history interviews and observation. All interviews were audio recorded, transcribed verbatim, coded, and thematic analysis was done. The key themes are the context of urban poverty and student motherhood, lack of counseling services, poor law enforcement, and abandonment. The paper discusses how the young women navigate motherhood and education, thereby advancing the discourse on student motherhood in precarious educational contexts of urban poverty.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.009 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| 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".