Bibliographic record
Abstract
The basic conditions of more than 20 famous forestry ecological projects in the world are introduced, and among them, the 11 important projects are analyzed on scale, scope, investment, period and start\|up time (means the period from initiation to now) in single factor and multi\|factors using Analytic Hierarchy Process (AHP). The results using AHP shows that the 10 largest forest ecological projects in the world are: Chinese Three\|north and Middle and Lower Reaches of the Yangtze River Shelter\|belt Forest Development Project(TNYR), Chinese Natural Forest Protection Project(NFP), Chinese Conversion Croplands into Forests Project(CCF), Chinese Wildlife Conservation and Nature Reserve Development Project(WCNR), American Roosevelt Project(RS), former Soviet Stalin Rebuild Nature Plan(SRN), Canadian Green Plan(GP), Japanese Combating Mountains Plan(CMP), the Green Dam Project of the Five Countries in northern Africa(GDFC) and Chinese Fast\|growing and High\|yielding Timber Forest Development Project(FHTF). The result using single factor comparison indicate that the scale and scope of six Chinese projects are larger and investment was higher than those of foreign five ones. The period and start\|up time of foreign great Projects are longer than those of Chinese ones except TNYR. The start\|up time of Chinese great projects (not including TNYR) is from 1 year to 4 years, and that of foreign ones at least 12 years, generally more than 30 years, even up to 67 years. The result shows the strength and resolution that Chinese government thoroughly improve ecology environment. At the same time, it indicates that Chinese forestry ecology construction is just starting, and has more work to do. The development of Chinese and foreign forestry ecological projects is basically similar. This shows that the desire of people thirsting for good nature and environment is accordant as well as the ways of forestry ecological projects construction, in spite of the difference of countries and cultures. Compared with foreign forestry ecological projects, Chinese ones have their own features. The NFP is the important contribution of Chinese government to world ecology construction, and the model of combining combat with protection, which won extensive praise in the world. There are 1.3 billion people in China, and about 0 8 billion people are farmer. In order to improve ecology and bring benefits to offspring, Chinese government offers 300 billion RMB yuan to realize the CCF, which is unique in the history of foreign important ecological projects. The FHTF will thoroughly solve the problem of Chinese timber shortage, and is the only Project combining ecological projects with industry development. Those are enough to indicate the strength and verve that our government combats environment.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".