The Sedimentology of an ERG Margin: The Kayenta–Navajo Transition (Lower Jurassic), Kanab, Utah, U.S.A.
Bibliographic record
Abstract
Abstract During the Early Jurassic, the Navajo Sandstone erg, possibly the largest that has existed on Earth, spread gradually southward and eastward through Utah and into Arizona, and across erg-margin deposits of the fluvial Kayenta Formation. The transition was cyclic, with at least three and locally as many as thirteen fluvial tongues of ephemeral fluvial deposits extending into the erg. The present study examines this transitional interval in the Kanab area of southern Utah, where there are three distinct fluvial–eolian cycles. These cycles can be tentatively traced for some 200 km eastward, suggesting allogenic control on the deposition of these deposits. Facies assemblages are interpreted in terms of cycles of increasing aridity. Cycle development generally began with the accumulation of ephemeral fluvial deposits in terminal-fan environments. Deposits of channelized flow pass upward into sheet-like deposits recording unconfined flow, and the cycles culminated in short periods of rapid eolian bedform accumulation, followed by intense regional deflation during times of maximum aridity, with the formation of erosional super surfaces. It is likely that the climatic control of this succession was orbital forcing, but given the lack of detailed chronostratigraphic control for the Kayenta–Navajo interval it is not possible to suggest a likely orbital frequency.
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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 | 0.001 | 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) | 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".