Directional winds in Holocene create unique landforms and large-scale dusty weather in the East of China
Bibliographic record
Abstract
Abstract Scientists have divided China into three stages from the West, with high altitudes 8000 meters above sea level, to the East, under 500. The directional wind from West to East not only creates unique landforms such as tablemount, boat-shaped Yardang, and layer-fissured granite with geo-tourist value but also blows soils and dust to make a thick dust hood in the East, making it difficult for pollutants, car exhaust, and industrial gases to dissipate. Eastern China has become the most notorious worldwide with too many dust and haze days. The article points out that rock fragments and soils will eventually migrate to the East by directional winds and rivers, which is inevitable, but keeping moisture in the surface soil in the arid areas of the West will alleviate affections of dust and haze days for the East. Canada is one of the countries in the world naturally preserving its beauty by enacting laws that prohibit biodegradable leaves, crops, and branches from being garbage. Biodegradation is a simple way to improve the environment, and every Chinese person should learn and take action.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".