Compare and contrast Grameen Shikka (Education) and Bangladesh Rural Advancement Committee (BRAC) education in Bangladesh
Bibliographic record
Abstract
Grameen Shakki child education services and BRAC education programs in Bangladesh are well known for NGOs managed community child education in the world.Their programs are targeted to poor children and they are inclusive to community partners in Bangladesh although their child education programs are in experimental stages.BRAC education program is widely circulated in the world and many agencies want to replicate its model to different countries.This research is author`s personal what programs and strategies these two organizations are using that are different from Bangladesh publicly and privately managed children schools.This research attempted to know what are their programs, how they are working and managing child education, their cost-effectiveness of the programs in Bangladesh.The author reviewed literatures related to child inclusive education, uses secondary sources of information about these two organizations and their web texts.In addition, the author also uses his personal experience working in Bangladesh.The study indicates that BRAC-BEP program and GS child education services are inclusive to poor children in Bangladesh.Their programs are popular in their operating areas.Although public child education system is free in Bangladesh; however, these two agencies schools and their child learning centers have huge demand in Bangladesh.Throughout this study, the author realizes that it needs a nation-wide study to compare and contrast performances and the effectiveness of the systems of the publicly managed child education and NGOs managed child education, and privately managed child education in Bangladesh.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".