MétaCan
Menu
Back to cohort

SOME EPISODES OF THE LIFE OF ACADEMICIAN L. I. LOBKOVSKY (TO THE 75th ANNIVERSARY OF THE JUBILARIAN)

2023· article· en· W4385224962 on OpenAlexaboutno aff
Н. О. Сорохтин

Bibliographic record

VenueJournal of Oceanological Research · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsnot available
Fundersnot available
KeywordsGeodynamicsLithosphereGeopoliticsPlate tectonicsContinental driftField (mathematics)Graduate studentsSubductionGeologyTectonicsEarth scienceGeographyGeophysicsPolitical sciencePaleontologySociologyLawMathematics

Abstract

fetched live from OpenAlex

This essay is dedicated to the 75th anniversary of the outstanding Russian scientist Leopold Isaevich Lobkovsky. The article describes the path of formation and professional transformation of a graduate of the Faculty of Mechanics and Mathematics of Lomonosov Moscow State University, who in the course of his work made a significant contribution to World science in the field of geodynamics. In particular, he created the prerequisites for a significant revision of the physical foundations of the theory of lithospheric plate tectonics and its transformation into the theory of tectonics of deformable lithospheric plates. The second important achievement of L. I. Lobkovsky is the creation of a keyboard model of island-arc systems and the trigger effect of energy unloading in subduction zones. The most important geopolitical achievement of the hero of the day is the creation of a model for the development of the Canadian Basin and the Arctic Ocean in the Mesozoic and Cenozoic. This made it possible to substantiate the continental nature of the vast areas of the Arctic for the declaration of Russian priority over them in the relevant UN commission.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0090.006
Scholarly communication0.0060.004
Open science0.0010.006
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0040.002

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 head0.157
GPT teacher head0.334
Teacher spread0.177 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Oceanological ResearchSame topicGeological Studies and ExplorationFrench-language works237,207