The Contribution of Eco-island:Practice and Experience of Domestic and International Eco-regions
Bibliographic record
Abstract
The eco-region has not been clearly defined,while its connotation has never been specifically addressed.After years of practice and research,there have been a number of related ideas and different interpretations.It is a typical mode of regional sustainable development and recycling economy.The practice and research of eco-regions always focus on the coordination of economy,society,resources,environment,and management.In China and abroad,different modes of development are brought forward,on the basis of different location and condition.For instance,Prince Edward Island of Canada is a typical mode of remote region in a developed country.Long Island of the USA is an island near the metropolis New York.Jeju Island of Korea is a free-trade area of a developing country.Hainan Island is also a developing mode.This paper attempts to analyze these different cases of eco-islands in China and abroad,and summarizes the experience to guide Chongming eco-island of Shanghai.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| 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".