The evolu tion of the parad igm of environm ental governance and the environm ent voluntary in itiatives
Bibliographic record
Abstract
The creation and continuous deepen ing of sustainab le developm ent thought m akes the princ ip le and parad igm of environm ental governance continuous evolution.Trad itional order-control style environm ental governance parad igm has defects,however,currently,new environm ental governm ent parad igm,as environm ental voluntary in itiatives,also has its lim itation because the imp lem entation of the environm ental governance depends on the voluntary behaviors of an enterprise and is not restricted by laws and is short of enforceab ility.The model country,Canada,wh ich has m ade great progress in environm ental governance,also has m any prob lem s and barriers in the process of the imp lem entation of environm ental voluntary in itiatives.Environm ental voluntary in itiatives do notm ean that the ob ligation of the enterprises to follow the environm ental laws shou ld be rem itted,but that the enterprises shou ld have agile and original m ethods based on current laws and regu lations in environm ental protection innovation,i,e.,the environm ental behaviors of an enterprise are expected to be better than the requ irem ent of the laws and regu lations.
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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 | 0.004 | 0.007 |
| 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 | 0.017 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".