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Record W2478268333 · doi:10.1017/cbo9780511975622.008

Ichnology of shallow-marine clastic environments

2011· book-chapter· en· W2478268333 on OpenAlexaff
Luís A. Buatois, M. Gabriela Mángano

Bibliographic record

VenueCambridge University Press eBooks · 2011
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicGeological formations and processes
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsIchnologyTrace fossilPaleontologyClastic rockSedimentary rockGeologyConnotationPhilosophy

Abstract

fetched live from OpenAlex

As discussed in other chapters of this book, traces commonly receive a paleontologic or zoologic connotation. Because of this aspect, traces are often given a short shrift by sedimentologists. This situation is unfortunate, and indeed unfair, to the study of sediments because the contained lebensspuren are sedimentary structures (albeit biologically formed) and should receive attention equal to that devoted to structures developed by physical processes. In fact, these traces often supply evidence of sedimentological conditions that is superior to information gained only by the study of physical structures. If the foregoing is not sufficient reason for sedimentologists to be concerned with the study of ichnology, perhaps they can be prodded into it by virtue of the fact that the nefarious beasts creating the biogenic structures have a nasty habit of destroying their beloved physical structures, and they should at least attempt to identify the enemy! Jim Howard “The sedimentological significance of trace fossils” (1975) Historically, one of the major strengths of ichnology is its utility in facies analysis and paleoenvironmental reconstructions. Undoubtedly, marine ichnology has been the main focus of most trace-fossil research in this respect. However, our knowledge of marine ichnofaunas is still uneven. The vast majority of ichnological studies applied to facies analysis and paleoenvironmental reconstruction deals with ichnofaunas from siliciclastic successions, rather than carbonates, mixed carbonates-clastics, or volcaniclastics. In siliciclastic settings, both shallow- and deep-marine ichnofaunas have received similar attention. However, ichnological studies in shallow-marine environments have attained better integration with sedimentological data than those in deep-marine settings. In turn, the ichnology of wave-dominated shallow-marine environments has been explored in more detail than their tide-dominated counterparts. In connection with this, the ichnological content of sandy shores is much better known than that of muddy coasts. In fact, some specific types of muddy shorelines, such as chenier plains (e.g. Augustinus, 1989), remain essentially unrecognized in the geological record. Also, end members, with respect to wave and tidal dominance, are better understood than mixed systems (e.g. Anthony and Orford, 2002). In this chapter, we will review the ichnology of different shallow-marine clastic environments, covering wave-dominated, tide-dominated, mixed systems, and muddy shorelines.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.001

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.

Opus teacher head0.022
GPT teacher head0.158
Teacher spread0.137 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreReview

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".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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