Facies stacking patterns in modern carbonate peritidal settings and their sequence-stratigraphic implications
Bibliographic record
Abstract
The ‘shallowing-upward’ (parasequence) motif has long dominated the understanding of bed-scale carbonate cycles and, ultimately, sequence-stratigraphic models for platform-interior deposits of the rock record. To evaluate the viability of the shallowing-upward assumption, a review of mid- to late-Holocene coastal carbonate successions from many “classic” peritidal settings was undertaken. This assessment shows that the simple shallowing-upward assumption is largely unsupported by the aggregate of modern-systems observations. Tidal flats generally do not prograde directly into lagoons to create muddy shallowing-upward cycles, and lagoons are not observed to prograde over their own protective shoal barriers to create grainy shallowing-upward cycles. Instead, transgressive deposits comprise an important component of carbonate depositional successions, forming deepening-upward motifs, where cycle-base tidal-flat and lagoonal remnants are overlain by a ravinement surface, signifying the passing of a transgressing carbonate barrier, and then are overlain by open-platform deposits. Overlying this, regressive deposits, where present, are represented by lagoonal abandonment and grainy shoreface progradation capped by strandplains, with overlying accommodation only for thin, discontinuous, intertidal mud flats and their subtidal drainage channels in inter-ridge swales. These observations indicate that the construct of the parasequence is less useful than that of a high-order sequence containing transgressive and regressive components. The implications of these observations and interpretations are wide-ranging and have generated the need for updated sequence-stratigraphic models for coastal carbonates based on modern coastal systems, and with which the rock record can be compared. These models are meaningfully different from models currently in use with respect to predictions of large-scale subsurface connectivity.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| 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".