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Record W2312530823 · doi:10.12789/geocanj.2015.42.072

Logan Medallist 3. Making Stratigraphy Respectable: From Stamp Collecting to Astronomical Calibration

2015· article· en· W2312530823 on OpenAlexaffvenue
Andrew D. Miall

Bibliographic record

VenueGeoscience Canada · 2015
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsStratigraphyGeologyPaleontologySequence stratigraphySedimentologyContext (archaeology)TectonicsLithostratigraphyHistorical geologyStructural basinSedimentary depositional environment

Abstract

fetched live from OpenAlex

The modern science of stratigraphy is founded on a nineteenth-century empirical base – the lithostratigraphy and biostratigraphy of basin-fill successions. This stratigraphic record comprises the most complete data set available for reconstructing the tectonic and climatic history of Earth. However, it has taken two hundred years of evolution of concepts and methods for the science to evolve from what Ernest Rutherford scornfully termed “stamp collecting” to a modern dynamic science characterized by an array of refined methods for documenting geological rates and processes. Major developments in the evolution of the science of stratigraphy include the growth of an ever-more precise geological time scale, the birth of sedimentology and basin-analysis methods, the influence of plate tectonics and, most importantly, the development, since the late 1970s, of the concepts of sequence stratigraphy. Refinements in these concepts have required the integration of all pre-existing data and methods into a modern, multidisciplinary approach, as exemplified by the current drive to apply the retrodicted history of Earth’s orbital behaviour to the construction of a high-precision ‘astrochronological’ time scale back to at least the Mesozoic record. At its core, stratigraphy, like much of geology, is a field-based science. The field context of a stratigraphic sample or succession remains the most important starting point for any advanced mapping, analytical or modeling work.RÉSUMÉLa science moderne de la stratigraphie repose sur une base empirique du XIXe siècle, soit la lithostratigraphie et la biostratigraphie de successions de remplissage de bassins sédimentaires. Cette archive stratigraphique est constituée de la base de données la plus complète permettant de reconstituer l’histoire tectonique et climatique de la Terre. Cela dit, il aura fallu deux cents ans d’évolution des concepts et des méthodes pour que cette activité passe de l’état de « timbromanie », comme disait dédaigneusement Ernest Rutherford, à l’état de science moderne dynamique caractérisée par sa panoplie de méthodes permettant de documenter les rythmes et processus géologiques. Les principaux développements de l’évolution de la science de la stratigraphie proviennent de l’élaboration d’une échelle géologique toujours plus précise, l’avènement de la sédimentologie et des méthodes d’analyse des bassins, de l’influence de la tectonique des plaques et, surtout du développement depuis la fin des années 1970, des concepts de stratigraphie séquentielle. Des raffinements dans ces concepts ont nécessité l'intégration de toutes les données et méthodes existantes dans une approche moderne, multidisciplinaire, comme le montre ce mouvement actuel qui entend utiliser la reconstitution de l’histoire du comportement orbital de la Terre pour l’élaboration d’une échelle temporelle « astrochronologique » de haute précision, remontant jusqu’au Mésozoïque au moins. Comme pour la géologie, la stratigraphie est une science de terrain. Le contexte de terrain d’un échantillon stratigraphique ou d’une succession demeure le point de départ le plus important, pour tout travail sérieux de cartographie, d’analyse ou de modélisation.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.232
Threshold uncertainty score0.719

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.040
GPT teacher head0.253
Teacher spread0.213 · 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 teacher head, 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

Citations3
Published2015
Admission routes2
Has abstractyes

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