Advances and Prospect of Research on Environmental Criteria/Benchmarks and Enactment of Environmental Standards
Bibliographic record
Abstract
To derive and develop environmental criteria/benchmarks is a challenging and intractable scientific conundrum.The enactment and revision of environmental standards is a long-term and arduous task.In this review,the conception and connotation of environmental criteria/benchmarks and standards were firstly expounded,and the old cognition in the past was rectified according to their recent international developments in this direction.It emphasizes that the environmental criterion/benchmark is not equal to the environmental quality criterion/benchmark,and environmental criteria/benchmarks should be comprised of environmental quality criteria/benchmarks and remediation/cleanup criteria/benchmarks for contaminated environment;correspondingly,environmental standards should include both environmental quality standards and remediation/cleanup standards for contaminated environment.On the basis of the new cognition,prominent accomplishments acquired in the field of environmental quality criteria/benchmarks at home and abroad have been summarized,some advanced modus operandies for environmental quality standards in France(as a representative of west European countries),Canada(as a representative of American countries) and Italy(as a representative of midland European countries) were enumerated,and relevant progresses in research on remediation/cleanup criteria/benchmarks for contaminated environment and enactment of remediation/cleanup standards for contaminated environment are introduced.Future research on environmental criteria/benchmarks has been prospected.
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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 | 0.001 | 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 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".