Examining Small Millet-Based Food and Livelihood Security: A case study of semi-arid mountain communities in Nepal
Bibliographic record
Abstract
The majority of households in the hill regions of Nepal are net consumers of their agricultural produce. The harsh geographical topography, low landholdings and uncertain weather make households in the hills more susceptible to food insecurity. This research examines the role of small millets in achieving food and livelihood security for the people of Dhikur Pokhari VDC in Nepal. As a project based on qualitative research, data was collected through semi-structured interviews, observations and focus group discussions. In addition, market and value chain analysis for small millets was conducted. The findings show that small millets have a significant role in ensuring food security, particularly for the marginalized households. The findings also show that, through their exchange properties, small millets contributed towards generating household livelihoods. Further, findings revealed the existing formal and informal markets for small millets and showed a direct correlation between small millets-based market, and food and livelihood security for the people of Dhikur Pokhari VDC.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".