Century‐scale sequences and density‐flow deltas of the late Holocene and modern Dead Sea coast, Israel
Bibliographic record
Abstract
ABSTRACT Late Holocene Dead Sea rift‐margin strata reveal century‐scale sequences. Sequences are known to form at millennial timescales, but whether they can form at scales as short as centuries (seventh‐order, sensu Vail et al. , 1991) was previously unconfirmed. This study maps lithofacies and sequence‐stratigraphic surfaces from a ca 35 m high outcrop of the post‐1500 ad part of the Holocene falling‐stage wedge, and adjacent subaerial environments, along the Nahal Darga of the western Dead Sea coast, using drone images. The study also produces the first maps of subaqueous delta environments from remotely operated vehicle photographs. Comparison of outcrop and remotely operated vehicle data show that delta foresets form by debris‐flow lobes accreting onto the delta face. Debris lobes increase in size with depth, have sorted cobble heads, and stack compensationally. Debris lobes dewater to form mostly erosive turbidity currents that cut channels and obstacle scours down slope. Topsets comprising fluvial, beach‐ridge and lagoonal deposits prograde over these foresets. Surfaces separating foreset and topset elements of this Gilbert‐delta system bind systems tracts and record downstep and upstep of the shoreface associated with base‐level rises and falls. These surfaces match known lake‐level changes in the Dead Sea in magnitude, timing and direction. They confirm Medieval ( ca 600 to 1300 ad ) and Modern ( ca 1300 ad to Modern) century‐scale sequences. These microsequences form in the Dead Sea because this climate‐sensitive lake can generate metres‐scale lake‐level cycles on century timescales, and because depositional systems can, as shown here, reestablish sufficiently rapidly (≤10 1 years) to record century‐scale cycles with complete systems tracts. Although conditions for generating microsequences are optimal in the Dead Sea, they are not unique. These microsequences pose a challenge to sequence stratigraphy because they typically fall below seismic resolution, may geometrically resemble higher‐order composite sequences and complicate defining of anchor sequences within a sequence hierarchy.
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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 | 0.000 |
| 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".