The Utilization of Insect-resources in Chinese Rural Area
Bibliographic record
Abstract
Human beings'uncontrolled exploitation lead to the rapid consumption and depletion of many natural resources.Mankind is facing an unprecedented dilemma in survival and development which. Searching, development and utilization of new natural resources will be an important way to solve the current problems. Insects, as an important natural resource needing to be further exploited, have aroused wide concerns and may play an important role in tackling food crisis and natural resources depletion. In China, insects have been being utilized for a long time as an important natural resource and there were lots of practices and experiences in the use of insect, especially in the rural regions. In this paper, we presented the current situation of insect utilization in Chinese rural regions and introduced edible insects being used by ethnic people in Yunnan province of China, the place which is special for its diversity in ethnic culture and folkways. In addition, constraints and prospects in using insect resources were discussed and analyzed as well. It was expected that the experiences in using insect resources in China could be helpful for other countries to promote the utilization of insect resources in near future.
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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 | 0.000 | 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 | 0.002 | 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) | 0.001 | 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".