Bering Strait gateway currents and their implications for sediment distribution, shelf conceptual models and economic potential
Bibliographic record
Abstract
This paper addresses a gap in our knowledge about strong geostrophic current control of epicontinental shelf deposits. The northward current that accelerates towards the Bering Strait gateway affects sediment distribution in the northern Bering Sea leading to the Strait, in the Strait and in the Chukchi Sea where currents slack. Leeside sand bodies develop when the northward geostrophic current shears and accelerates against topographic projections into the current. When currents slack downstream, leeside sand bodies deposit. Yearly 1 m and decadal catastrophic up to 5 m storm surges resuspend the Yukon sediment. Most of this sediment is then entrained by strong northward currents and transported up to 1000 km north, bypassing Chirikov Basin and the Bering Strait gateway, to deposit in the Chukchi Sea. Northern Bering Sea depositional patterns reinforce evidence that epicontinental shelf sedimentary sequences are different from more regular proximal to distal offshore sequences on marginal shelves. Compared with marginal shelves, strong currents, Coriolis force and topographic constrictions result in sediment bodies detached from the shoreline and large areas of sediment bypass on epicontinental shelves. The Bering Sea currents prevent Holocene sediment from covering both relict gravel with the world's largest offshore gold deposits and large areas of surficial sediment with heavy-mineral concentrations >16% that contain scarce rare earth metals.
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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".