(Im)Possibility of Learning Science Through Livelihood Activities at Community Schools in Nepal
Bibliographic record
Abstract
The Science in the Learning Home (SciLH) program was designed to address two well-documented, inter-related educational problems observed in the Community High Schools in Nepal. The first relates to the achievement of students in science in Secondary Education Examination (SEE), which is below average (33 out of 75 i.e. 44%), and the second concerns the insufficiencies of the resources and instruction to discourse their traditional and livelihood requirements through school science learning activities. Funded by the University Grants Commission (UGC), Nepal, as a Small Research Development and Innovation Grants (SRDIG) to the faculty member, SciLH is a title set by the researcher to provide a new and innovative concept to learn science from the home and cultural practices. The tenth-grade high school students and the community people (parents) participated in the study. Livelihood practices and activities at the home link SciLH concept aligns with the school science curriculum and textbooks with that of cultural practices. This research article offers a framework to explore factors which support the accomplishment of the ethnically different student population and parents using the outline of ethno-perspective.
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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 | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".