Analysis of Coupling the Pesticide Use Reduction with Environmental Policy for Agricultural Sustainability in Taiwan
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
As Taiwan has a dense population and only limited natural resources, the government began actively establishing a Taiwan’s sustainable development indicators (TSDI) system in 2003 to evaluate the progress towards sustainability. Commonly used pesticides could pose a risk of causing adverse effects to food sanitation, human health and the environment. Thus, the pesticide usage rate per hectare of farmland and the area of organic cultivation have been selected as agricultural sustainability indicators. The objective of this paper was to describe an analysis of current status of pesticide use and regulatory policy for environmental sustainability in Taiwan. Furthermore, it can be connected with the regulatory infrastructure, which has been established by the joint-venture of the central competent authorities (i.e., Council of Agriculture, Environmental Protection Administration, Department of Health, Ministry of Economic Affairs, and Council of Labor Affairs) for controlling and/or preventing pesticide distribution in the environment. The significant progress is that the residual pesticides have notably declined in the past decade, which was in parallel with the pesticide usage rate decreased and organic farming area increased. For example, total area of organically certified cropping in Taiwan has been increased from 900 hectares (ha) in 2001 to about 4,500 ha in 2010. Finally, some recommendations for the pollution prevention and toxicity reduction of pesticide use were also addressed to progress towards a sustainable agriculture in Taiwan.
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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 | 0.000 | 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 | 0.001 |
| 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