Unlocking Uncultivated Food for Mountain Livelihood: Case from Hindu Kush Himalayas
Bibliographic record
Abstract
Throughout the Hindu Kush Himalayas, uncultivated plants provide a green social and cultural security to millions of people supporting their livelihood. Review on evaluating the multifunctional role of uncultivated plants in perspective of livelihood support finds that plants add diversity to local food systems, reinforce local culture and contribute diversity to farming systems, and finally are important for household food and nutrition security, social security, income generation and health care. Further, this paper clarifies that local people maintain and conserve diversity for the sake of use. The wise conservation and use of uncultivated plants are essential elements for increasing food security, eliminating poverty, and maintaining the environment. However, the value and potential of uncultivated plants for food and nutrition security, household level health care, income generation opportunity are not yet realized. Fast changing climate and early projections on its impacts suggest that such programmes must increasingly consider the sustenance of ecosystem that promotes uncultivated plants as basis for the welfare of millions.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".