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Record W2062849822 · doi:10.12789/geocanj.2014.41.050

Memories of Pre-Jurassic Lost Oceans: How To Retrieve Them From Extant Lands

2014· article· en· W2062849822 on OpenAlexvenueno aff
Yukio Isozaki

Bibliographic record

VenueGeoscience Canada · 2014
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geophysical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyPaleontologySedimentary rockGeologic recordOceanic crustSubductionEarth scienceTectonics

Abstract

fetched live from OpenAlex

The information reflected in mid-oceanic sedimentary deposits provides critical constraints for reconstructing past global environmental changes. Available data from extant oceans, however, are limited to the Early Jurassic and younger ages, because older oceanic plates have been subducted. This article explains methods for obtaining information on pre-Jurassic mid-oceanic conditions by conducting fieldwork on older orogenic belts exposed on land. The key point is the identification of ancient accretionary complexes (AC), not along currently active margins but within older orogenic belts in continental domains, particularly by recognizing ocean plate stratigraphy (OPS) that contains mid-oceanic strata, as demonstrated by studies of on-land exposed ancient AC in Japan and elsewhere. In this paper, six examples of retrieved mid-oceanic sedimentary data are introduced, in which significant records on the following unique events in the pre-Jurassic world are archived: 1) the extinction-related Paleozoic–Mesozoic boundary superanoxia (based on data from the Jurassic AC in SW Japan); 2) the Permian Kamura cooling event in the mid-Panthalassa (ditto); 3) the Neoproterozoic snowball Earth evidence from the mid-Iapetus Ocean (based on data from the Neoproterozoic–Cambrian AC in Wales, UK); 4) the discovery of enigmatic Ediacaran (Neoproterozoic) microfossils from a mid-oceanic atoll complex (based on data from the Cambrian AC in southern Siberia, Russia); and 5) and 6) Early Archean (3.8 and 3.5 Ga) biogenic signatures in mid-oceanic deep-sea environments (based on data from the Eoarchean AC at Isua in Greenland, and the Paleoarchean one in Pilbara, Western Australia). These results demonstrate the great utility of OPS analysis for understanding pre-Jurassic lost oceans, including the early biological and environmental evolution of the globe. SOMMAIRELes informations enregistrées dans les dépôts sédimentaires médio-océaniques constituent des contraintes logiques qui permettent de reconstituer les changements environnementaux globaux. Cela dit, l’information sur de grands pans de fonds océaniques est limitée aux fonds océaniques Jurassiques précoces et plus jeunes, parce que les fonds océaniques plus anciens ont été subduits. Le présent article explique des méthodes permettant d’obtenir de l’information sur les milieux médio-océaniques pré-jurassiques par des levés de terrain sur des ceintures orogéniques affleurant sur terre. L’idée centrale consiste à circonscrire d’anciens complexes d’accrétion (AC), hors des marges actives actuelles, soit dans les ceintures orogéniques plus anciennes au sein des domaines continentaux, en y repérant des contextes stratigraphiques de plaques océaniques (OPS) qui renferment des strates médio-océaniques, comme ça a été fait lors études d’AC affleurant au Japon et ailleurs. Le présent document décrit six exemples de contextes stratigraphiques de plaques océaniques où on trouve des indices importants des événements pré-jurassiques uniques suivants : 1) l’extinction liée à la super-anoxie de la limite Paléozoïque-Mésozoïque (à partir des données d’un AC jurassique dans le sud-ouest du Japon); 2) l’épisode de refroidissement permien de Kamura du Panthalassa moyen; 3) l’épisode néoprotérozoïque de « Terre boule de neige » conservé par l’océan mi-japétien (selon les données de l’AC néoprotérozoïque-cambrien dans les Wales au Royaume-Uni); 4) la découverte de microfossiles édiacariens (Néoprotérozoïque) d’un complexe d’atolls médio-océaniques (selon les données d’un AC cambrien du sud-est sibérien, Russie); et 5 et 6) des signatures biogéniques de milieux médio-océaniques profonds de l’Archéen précoce (3,8 et 3,5 Ga) (selon les données d’un AC éoarchéen à Isua au Groenland, et d’un AC paléoarchéen à Pilbara, Australie). Ces résultats montrent la grande utilité de l'analyse de la stratigraphie des plaques océaniques pour comprendre les océans pré-Jurassique, de même que l'évolution des débuts de la vie et des milieux de vie sur Terre.

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)0.002
metaresearch head score (Gemma)0.016
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0110.008
Science and technology studies0.0010.001
Scholarly communication0.0050.007
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.005

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.

Opus teacher head0.011
GPT teacher head0.167
Teacher spread0.156 · 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
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

Citations29
Published2014
Admission routes1
Has abstractyes

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