Cultural Impacts of <i>Sisimpur, Sesame Street</i>, in Rural Bangladesh: Views of Family Members and Teachers
Bibliographic record
Abstract
Sisimpur is an educational children’s television program in Bangladesh that is co-produced by Sesame Workshop, the makers of Sesame. Street. Sisimpur’s goals include the support of Early Childhood Development (ECD) objectives in Bangladesh, such as the teaching of pre-academic skills to young children. In this paper we draw on qualitative research to explore how Sisimpur and its benefits are viewed by the family inembers and teachers of children in rural Bangladesh. Our results suggest that Sisimpur is valued by these caregivers as a source of ideas and information about how best to raise children. We argue that Sisimpur’s favorable reception is related to the success with which it has portrayed children on the show as both connected to Bangali traditions and able to take advantage of the opportunities for modern education available to them.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".