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Record W4306871357 · doi:10.18261/let.55.3.3

Names for trace fossils 2.0: theory and practice in ichnotaxonomy

2022· article· en· W4306871357 on OpenAlexafffund
Markus Bertling, Luís A. Buatois, Dirk Knaust, Brittany A. Laing, M. Gabriela Mángano, Neele Meyer, Radek Mikuláš, Nicholas J. Minter, Christian Neumann, Andrew K. Rindsberg, Alfred Uchman, Max Wisshak

Bibliographic record

VenueLethaia · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of CanadaGrantová Agentura České RepublikyAlexander von Humboldt-Stiftung
KeywordsTrace fossilTRACE (psycholinguistics)GeologyPaleontologyIchnologyArchaeologyGeographyPhilosophyLinguistics

Abstract

fetched live from OpenAlex

A uniform approach to ichnotaxonomy has been for the most part positively received by the scientific community. We carry it further here, presenting a revised treatment of trace fossil groups. These should include cololites and regurgitalites as well as root traces. Signs of human technology may be seen as traces; however, they should not be named following the principles of zoological taxonomy and rules of zoological nomenclature. Microbially induced sedimentary structures are not considered as traces and neither are structures resulting from bioclaustration. The latter, also known as galls and embedment structures, may be named as cecidotaxa (cecidofamilies, -genera, -species; briefly cfam., cgen., csp.) and, as such, they are governed by the International Code of Zoological Nomenclature. Cecidotaxa do not compete for synonymy with ichnotaxa, other parataxa or biotaxa. A revised list of ichnotaxobases includes the arrangement of subunits as well as (in a restricted way) size and bioglyphs. The principal type of substrate may serve as an ichnotaxobase, especially in bioerosion traces, but its sole use should be avoided, unless informed by knowledge about the behaviour of specialist producers. For the purpose of the nomenclatural code, we further propose to define ‘fossil’ as ‘not demonstrably postdating the beginning of the Holocene’ and provide a revised definition of ‘ichnotaxon’. Keywords Ichnology ichnotaxobases cecidotaxa bioerosion MISS ichnogeny

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)0.018
metaresearch head score (Gemma)0.055
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.055
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0110.012
Science and technology studies0.0050.017
Scholarly communication0.0080.015
Open science0.0030.007
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0190.006

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 head0.027
GPT teacher head0.328
Teacher spread0.302 · 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 designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations99
Published2022
Admission routes2
Has abstractno

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