A Case Study of Enhancing Sustainable Intensification of Chinese Torreya Forest in Zhuji of China
Bibliographic record
Abstract
Chinese torreya (Torreya grandis cv. Merrillii) is an important cash tree in southeastern China and this species plays a major role in local economy. Establishing new plantations of Chinese torreya would be necessary in order to receive more economic benefit. However, expanding the area of torreya plantations would conflict with other land-use and also affect regional biodiversity. Under this context, local people and government made a paradigm shift from nuts productivity to sustainable practices. They explored the multi-functionalities of Chinese torreya forests, such as the social, cultural, environmental and health functionalities, and developed ecotourism as a breakthrough. The development of multi-functionalities of torreya plantations greatly improved the local economy and led a success in the local society. The strategy of this case completely followed the principles of sustainable intensification of agriculture and translational ecology, which involve scientists, stakeholders and policy makers to emphasize landscape multi-functionalities and minimize environmental impacts of operations. The knowledge from this study may be helpful to research in other regions.
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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 | 0.001 | 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 | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".