Organic agriculture project in Nepal: An international twinning partnership program initiative
Bibliographic record
Abstract
Burlakoti, R. R., Lynch, D., Halde, C., Beach, T., Dahal, S. and Debnath, S. C. 2012. Organic agriculture project in Nepal: An international twinning partnership program initiative. Can. J. Plant Sci. 92: 997–1003. Agriculture is the major occupation in Nepal, contributing 32% of total gross domestic product (GDP) and 75% of the country's exports. The traditional way of farming using low inputs (inorganic fertilizers and pesticides) provides opportunities to adopt organic farming for diversified crops, with potential domestic markets and export markets in Japan and Europe. With a goal of improving the livelihood of rural ethnic marginalized farmers of the mid-western hill of Nepal, an international development project was started through a joint effort of the Agricultural Institute of Canada (AIC), Sustainable Agriculture Development Program (SADP) Nepal, the Canadian Society of Agronomy (CSA) and the Canadian Society for Horticultural Science (CSHS). The project, entitled “Research and support to organic agriculture in Tanahu district of Nepal”, commenced in April 2010. Canadian team members visited Nepal in December 2009 and 2010. To date, the project has successfully strengthened the organizational capacity of the lead organization (SADP, Nepal), conducted a baseline assessment study in the project area, assessed the potential domestic market for organic product, promoted organic farming among the ethnic marginal farmer groups (Kumal and Darai), and identified and established a strong collaborative project link with the agricultural university and scientific societies of Nepal. A proposed further 5-yr (2011 to 2016) project aims to change the traditional subsistent farming to commercial organic farming in the target area and aims to improve the livelihood of the farmers through better income generation from organic farming. The project will include scientific research on organic farming led by the Agriculture and Forestry University, Nepal, in collaboration with other scientific societies of Nepal. The CSA and CSHS will provide technical input, advice for the project, and monitor and supervise the project progress.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".