Sedimentation and Holocene evolution of wave-dominated, macrotidal-flat depositional system in the southwestern open coasts of Korean Peninsula
Bibliographic record
Abstract
Sedimentation in the open-coast tidal flats of southwestern Korea is controlled by the combination of wave and tide with seasonal variation. Environmental oscillation takes place between tide-dominated muddy deposition in summer and wave-dominated sandy deposition in winter. Winter storm is a major factor in sedimentation and preservation in the intertidal zone, producing extensive wave-generated parallel lamination and short-wavelength HCS/SCS. Winter storm waves dominate sedimentation over the long term in this setting, resulting in predominant preservation of amalgamated storm beds which are very similar to those associated with shoreface. It causes much confusion in differentiation between deposits in true shoreface and open-coast tidal flat, suggesting that some ancient shoreface deposits should be reinterpreted in terms of the concept of open-coast tidal-flat sedimentation.The retrograding, coarsening-upward, late Holocene succession in this open coast has resulted from low sedimentation rates under low to moderate rates of sea-level rise. It shows a reverse pattern as compared with the models developed in embayed tidal flats with high sedimentation rate such as Jade- and Fundy-bay tidal flats which show a prograding, fining-upward succession. This result suggests that most southwestern open coasts in Korean Peninsula would have much higher potential to experience coastal erosion and inundation with the future sea-level rise than the coasts developed under high sediment supply.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".