Bibliographic record
Abstract
Wetland has great ecological and environmental value.Every country attaches much importance to the protection and management of the wetland. There have been seven international meetings,of which the Fifth,the Sixth,and the Seventh are more important.To protect the wetland,countries such as the USA,Canada and Australia have put forward corresponding wetland protection policies and made a large number of researches on the fields of water resources comprehensive management,wetland monitoring technique,resuming and rebuilding of degraded wetland,evaluation of wetland effect,protective plans on important wetland,etc.,The protection and management of wetland in China can be divided into three stages.Macroscopical studies are mainly focused on seven aspects such as wetland protection and developing,etc.,while microscopical studies are mainly on swamps,lakes,rivers and coastal wetland.Based on a full account of studies made at home and abroad,this paper explores into the aspects of wetland natural reserve construction,wetland protection and development,wetland monitoring system construction,and wetland legislation,etc..It also points out that measures should be taken to strengthen wetland protection and management:(1)water resources comprehensive management;(2) the acting of Action Plans of China Wetland Protection;(3)rescuing protection of important wetland;(4)the combination of protection management and resuming and rebuilding of degraded wetland;(5)promoting the legislation of wetland protection and management.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.004 |
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".