Bibliographic record
Abstract
For my part, following out Lyell’s metaphor, I look at the natural geological record, as a history of a world imperfectly kept, and written in a changing dialect; of this history we possess the last volume alone, relating only to two or three countries. Of this volume, only here and there a short chapter has been preserved; and of each page, only here and there a few lines. Charles Darwin On the Origin of Species (1859) Trace fossils are proving to be one of the most important groups of fossils in delineating stratigraphically important boundaries related to sequence stratigraphy. George Pemberton and James MacEachern “The sequence stratigraphic significance of trace fossils: examples from the Cretaceous Foreland Basin of Alberta, Canada” (1995) The appearance of sequence stratigraphy in the late eighties resulted in a revolution in the study of sedimentary rocks. The shift from seismic stratigraphy (Vail et al ., 1977) to sequence stratigraphy brought the incorporation of outcrops and cores as sources of data in stratigraphic analysis (Posamentier et al ., 1988; Posamentier and Vail, 1988; Van Wagoner et al ., 1990). Coincident with this shift, ichnological studies began to emphasize the importance of trace fossils in sequence stratigraphy (e.g. Savrda, 1991b; MacEachern et al ., 1992; Pemberton et al ., 1992b). In little more than a decade, the field experienced a rapid increase in the number of studies devoted to exploring the applicability of ichnology in refining sequence-stratigraphic analysis (e.g. MacEachern et al ., 1992, 1999a, 2007c; Savrda et al ., 1993; Taylor and Gawthorpe, 1993; Pemberton and MacEachern, 1995; Ghibaudo et al ., 1996; Martin and Pollard, 1996; Buatois et al ., 1998d, 2002b; Pemberton et al ., 2001, 2004; Carmona et al ., 2006). At present, ichnological aspects are currently covered in sequence-stratigraphic textbooks (e.g. Catuneanu, 2006). The aim of this chapter is to provide a detailed review of the applications of ichnology in sequence stratigraphy. Although a large part of this chapter deals with the recognition of discontinuity surfaces in marine siliciclastic successions, we will also cover other topics which are commonly overlooked in the literature. These include characterization of parasequences, parasequence sets, and systems tracts, but also the potential of trace fossils to address sequence-stratigraphic issues in carbonates and continental deposits.
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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.005 |
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".