Agriculture and Climate Change: Perceptions of Provincial Officials in Vietnam
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Climate change is expected to have serious impacts on developing countries, including Vietnam. The central government of Vietnam has launched programs to study climate change trends and impacts on natural resources, environment and socio-economic development, and adaptation strategies. These programs have the active involvement of many ministries, sectors, research institutions and local governments. This paper addresses theperceptions of provincial officers in Vietnam regarding climate change, its impacts on agricultural activities, and adaptation options. It examines the current knowledge and understanding capacity of provincial officials in implementing the National Target Program to Respond to Climate Change, and the Action Plan to Response to Climate Change of the Agriculture and Rural Development Sector. The results from the study provide insight into the perceptions on climate change and climate change adaptation measures held by Vietnamese government officials working in environmental and agricultural sectors. The survey data indicate that Vietnamese government officials are aware of climate change and its potential impacts, but have relatively poor understanding of some aspects, given the key role of government officials in implementing Vietnamese adaptation policies and mitigation measures. These new findings are important to Vietnamese and international organizations involved in assisting agricultural research and extension agencies with identifying and implementing strategies to adapt Vietnamese farming systems to a changing climate.
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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 | 0.000 |
| 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 it