Wild Edible Plants Used by the People of Manang District, Central Nepal
Bibliographic record
Abstract
Plant diversity plays an important role in maintaining the world's foods demands. Even today in Manang, a remote, mountainous district within the Annapurna Conservation Area, Nepal, local people gather substantial amounts of wild plants to meet their daily nutritional needs, with several species also used for trade. There has been little documented regarding the use of these wild foods, which play a part in both daily nutrition, and survival during times of famine. Moreover, planning for development, land use, economic growth and biodiversity conservation has not taken them into account. Information about edible wild plant use was gathered by interviewing knowledgeable villagers over a period of five years (2002-2006). In total, 41 plant species were used as sources of fruits, juice, vegetables, and achar (local relish or pickle). Several wild food plants that need intensive processing before consumption were documented, including the calcium oxalate containing Arisaema species. The traditional knowledge of use of wild food plants is decreasing in many parts of the world with the introduction of modern packed food items and Manang is not the exception. The results of this research will help to play a catalytic role to encourage dialogue among the people of Manang, and national and international scientific communities regarding long term bioprospecting research, and shape the creation of a rural livelihood strategy. Analysis of the nutritive and health values of some of these edible plant species may encourage the scientific community to build partnerships with local community to work towards long term sustainable utilization and conservation.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".