Bibliographic record
Abstract
“Sisters of Peace” is a mental health and psychosocial support program to support Rohingya refugees in Bangladesh. Designed by the BRAC Institute of Educational Development in Bangladesh, the model employs young women from the local community as para-counselors who are trained rigorously in psychosocial support skills such as active listening, empathy, maintaining confidentiality, and practicing a non-judgmental attitude. Under the supervision of psychologists and mental health experts, these para-counselors have been providing therapeutic services to Rohingya children and families in Bangladesh since 2017. During the height of the COVID-19 pandemic, the model was modified to use virtual modalities for the recruitment and training of para-counselors as well as training, supervision, monitoring, and providing support to clients. Internal process evaluations showed that the model provided valuable support to families and that the shift to remote training was effective in improving the skills of para-counselors. This model shows how mental health psychosocial support services can be set up and quickly expanded in a humanitarian context using limited resources.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.091 | 0.016 |
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".