Should we care: a qualitative exploration of the factors that influence the decision of early marriage among young men in urban slums of Bangladesh
Bibliographic record
Abstract
OBJECTIVES: To explore how adolescent and young men negotiate the complex realities of lives to explain their pathways into and reasons for early marriage in urban slums of Bangladesh. DESIGN: The qualitative data used here came from a larger 3-year study that used both quantitative and qualitative research methods. SETTING: Interviews were conducted in two of the largest slums in Dhaka and Chittagong city of Bangladesh between December 2015 and March 2018. PARTICIPANTS: This paper uses qualitative data from 22 in-depth interviews (IDIs) and three focus group discussions (FGDs) with adolescent and young men aged 15-24 years; 13 IDIs and 4 FGDs with parents and 11 key-informant interviews with community leaders. The purposively selected respondents were interviewed in their respective settings. RESULTS: In the context of urban slums, this study revealed multiple factors influence early marriage decision-making processes among young men. These factors include socially perceived phenomenon of adulthood and readiness of marriage, poverty leading to drop out from schools and early initiation to earning livelihood, manifestations of increasing individual aspiration and agency, fulfilment of romance and erotic desires and dreams of forming one's own family. In addition, parental and immediate societal interference to preserve norms around gender and society can act as catalysts for this decision. CONCLUSIONS: Study findings imply that complex structural factors, social and gender norms that are contributing to the early marriage for both adolescent boys and young men in Bangladesh's urban slums. These are locations where conservatism, poverty and urbanisation intersect resulting in early and often unprepared entry to adulthood for young men impacting on their development and well-being. It is, therefore, critical that young men should be included in the national and global conversations around child marriage and child marriage prevention programme.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.003 | 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".