Evidence of High-Frequency Storm Disturbance in the Middle Devonian Arkona Shale, Southwestern Ontario
Bibliographic record
Abstract
The importance of storms as agents of deposition and erosion is obvious in many ancient offshore marine successions. Indeed, storm-generated shell beds are among the most prominent small-scale features in otherwise monotonous successions, particularly those dominated by mudstones. Shell beds are usually interpreted as products of rare episodes of storm-generated disturbance punctuating long periods (tens, to hundreds, to thousands of years) of quiescence, the shell beds representing storms of greatest severity. The taphonomic attributes of shell beds in the Middle Devonian Arkona Shale (southwestern Ontario) indicate that even ?simple? shell beds can have complex histories. Shell-rich beds dominated by well-preserved remains of small rugose corals, spiriferid brachiopods, and a variety of crinoids, are commonly associated with pavements of shell debris reworked by earlier storms. Taphonomic dissection of five examples, informally called the lower Arthroacantha bed, the in situ Mucrospirifer bed, the upper Arthroacantha bed, the auloporid bed, and the Microcyclus bed, reveals a common theme; initial priming of the seafloor by one or more storms, was followed by colonization of the primed substrate by shelly benthic fauna which, in turn, was followed by final disturbance and burial of the faunal remains by a later storm. For storms to have produced multiple signatures in single shell beds of the Arkona Shale, the frequencies of seafloor disturbance must have been very high, probably on the order of a few years. Such frequencies are much higher than those implied by stratigraphic occurrences of conspicuous shell beds (i. E., without considering internal features of the shell beds). This implies that individual shell beds do not necessarily represent the most severe storms recorded in mudstone successions but can, in some cases, merely represent the most obvious products of storm disturbance by virtue of their shell content. Regardless of storm severity, the disturbance of a muddy seafloor lacking abundant shell material would produce an indistinct mud-on-mud contact that would be much less likely to be noticed than a shell-rich horizon. By the same token, both low-magnitude (but high-frequency) storms and high magnitude (but low-frequency) storms can produce shell beds, provided that sufficient shell material is available for reworking. Obviously, the key to the formation of shell-rich horizon is an abundance of shelly material on the seafloor. For this, a cause other than storm deposition must be sought; in most cases, these beds also record interludes of relative sediment starvation and increased seafloor oxygenation. Interpretations of storm severity from storm-generated shell beds should therefore be approached with caution and be considered in context of the faunal dynamics and depositional characteristics of a sedimentary succession as a whole.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".