The Succeed Project: Challenging Early School Failure in Bangladesh
Bibliographic record
Abstract
This evaluation research compares the first-grade competencies of two cohorts of Bangladesh children who attended ‘Succeed’ preschools, with a control group who did not attend preschool. Testing of these groups occurred in 2006, 2007, and 2005, respectively. The Succeed program aims to improve children's learning and children's school success by developing and testing an affordable, sustainable preschool model that can be implemented in school, community and home settings. Researchers assessed the quality of school- and home-based preschool environments using the Early Childhood Environment Rating Scale (ECERS) plus two curricular subscales that tap program quality. An independently developed test based on government-defined competencies assessed school achievement of Grade 1 children. Results showed that children who attended Succeed preschools performed better in four of the five competencies relating to reading, writing, and oral math, compared with children without any preschool experience. Better quality preschool environments were positively associated with children's competencies in Grade 1. There were no statistically significant differences in first-grade performance between children from home-based preschools compared with school-based preschools, both using the same Succeed program.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".