An Evaluation of the Sagarmatha National Park Forestry Project (SNPFP), Khumbu, Nepal: A Community Stakeholder Approach
Bibliographic record
Abstract
This study adopts a community stakeholder approach to analyze the stakeholders' perceptions on foreign aid and NGO-driven reforestation programme in an impacted community. The focus of the study, the Sagarmatha National Park Forestry Project (SNPFP), has operated in Khumbu, Nepal for thirty years. The overall performance and impacts of the SNPFP were assessed by interviewing key informants with regard to their experience and perceptions. Qualitative analysis revealed the gap in the involvement of multiple donors and identified how these gaps impacted on quality of foreign aid and NGO-led project. The implications of this study include the recommendation that the immediate stakeholders in a local area are a reliable source of information to measure the value of foreign aid and NGO performance. Furthermore, the future of natural resource conservation and rural development led by foreign aid and NGOs depends on collaboration between the local people, the NGOs, donors, and the government.
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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 | 0.015 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| 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".