Bibliographic record
Abstract
The rate of sea-level rise during the past hundred years has been 2 - 3mm/year along China's coasts; sea level will probably continue to rise in the future. The process has decreased wave winnowing of submerged coastal sediment but enhanced erosion by waves breaking on the upper beaches. Following the rise of sea level, river-channel slopes have been reduced, decreasing fluvial sediment discharges to the ocean. Human impacts through diverting river discharge and constructing dams in the lower reaches of rivers for fresh water supplies have also upset coastal processes. Paucity of coastal sediment supply is a world-wide phenomenon which, when combined with the frequency of storm surges and El Nino events to strengthen hydrodynamics, invariably results in beach erosion and the landward retreat of sand barriers along the coastal zone. Overpumping of groundwater and overloading by constructions on the delta plain and lowland coast have had serious effects: the average rate of relative sea-level rise is 24.5-50.0 mm/year in TianJing, the old Yellow River delta area along the Bohai Sea, 4.5-5.5 mm/year in the modern Yellow River delta, and 6.5-11.0 mm/year in the Shanghai area of the Changjiang River mouth. These rates are much higher than the mean annual rate of 1.4 mm/year. Under the circumstances saltwater intrusion has been changing river water salinity and fresh water quality. Storm surges often cause the lowland coast to be inundated and flooded. All such effects are ultimately the result of human activities.
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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 1.000 | 1.000 |
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; both teacher heads agree on what is shown here.
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".