The story of Salma and Sahar: a Rohingya mother and Bangladeshi baby who bridged two influxes and three family generations
Bibliographic record
Abstract
Sahar’s Bangladeshi mom had died during delivery and her daughter’s life was saved by Salma, a Rohingya woman. The 50,000 takas that Salma had saved from vegetable farming and raising chickens gave her the conviction that she could raise a dying child. Even if Salma’s husband and family-in-law did not agree with the adoption, Salma, who migrated to Cox’s Bazar in infancy, had seen in the camps how to sustain the survival of this dying and motherless child. Salma and Sahar’s story represents the interventions that resilient human beings put into effect with the support of key family members and internal resources. This is also an example signalling that in the current lingering crisis, we need to create bridges between earlier and newer Rohingya cohorts as well as to advocate for the Rohingya diaspora to be included in the process of caring for new lives. Ultimately, Salma and Sahar’s story is an illustration of the contribution of the Rohingya to Bangladeshi society.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.008 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".