Bibliographic record
Abstract
Resource recycling is one of the most important content of ecological civilization construction in China, which is beneficial to reduce the overuse of primary resources exploitation, to reduce the environmental pollutions during the process of resource extraction and waste disposal, and to realize the sustainable development of human economy and society. Resource recycling is a reflection of ecological economic development. Ecology provides a theoretical support for the resource circulation industry development. The ecological theories have played a guiding role. However, there are not enough academic researches to systematically summarize and analyze the relation and connection between ecology and resource recycling. Therefore, we based on the ecological theories to analyze the theoretical basis and application for resources recycling. The results showed that the ecological threshold theory, ecological balance theory, Overall hierarchy theory, the food chain (web) theory, niche theory and so on can be used to explain the resource circulation system such as resources recycling building concepts, resources recycling industry development foundation and the government's role in promoting resources circulation process. Based on the application of ecological theory for constructing the resource circulation system, further analysis of the scientific laws for the government regulation may help understand the concept of resource circulation and essence of circular economic system operation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".