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Record W5196056

Живое древо: в год русской истории о потомках М. В. Ломоносова

2012· article· ru· W5196056 on OpenAlex
И.И. Судницын

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueПространство и Время · 2012
Typearticle
Languageru
FieldComputer Science
TopicScientific Research and Philosophical Inquiry
Canadian institutionsnot available
Fundersnot available
KeywordsWifeGeniusHEROPopulationGenealogyHistoryAncestorArtAncient historyClassicsArt historyLiteraturePhilosophyDemographySociologyTheologyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

‘Potential geniuses’ appear in any population, but only few of them are succeed (due to lucky circumstances) to realize their genetic potential. M.V. Lomonosov had succeeded it. The story of the genius has continued since he left us not only his scientific and artistic creations, but also a living heritage – his precious genes. They are still stored in the DNA molecules of his descendants. His daughter Elena was the wife of A.A. Konstantinov, the personal librarian to the Empress. His father was a native of Greece, so that the granddaughter of Lomonosov, Sophia Alekseevna, had in her genes the representatives of Eastern people as well as of people of Central and Southern Europe. She became the wife of Patriotic War (1812) hero, General Nikolai Raevsky, and this couple gave 8 great-grandchildren of M.V. Lomonosov. They are E.N. Orlova, N.N. Raevsky and M.N. Volkonskaya, which became the ancestors of the major branches of his descendants. All Lomonosov great-grandchildren (i.e. the 5th generation) were not only the Lomonosov descendants, but also heroes of Patriotic War (1812). There was 30 descendants in the 6th generation, 43 descendants in the 7th one, 33 descendants in the 8th, 36 in the 9th, and now there are 27 descendants in the 10th generation. Most of them intermarried with the renowned ancient families, who have left a bright trace in History. Among Russian families it was Princes Suvoroff, Volkonsky, Bariatinsky, Vassilchikoff, Gagarine, Galitzine, Gorchakoff, Kourakine, Menshikoff, Troubetzkoy, Shakhovskoy, Scherbatoff, Lieven and Yashvil, among European ones it was Austrian Archdukes, Dukes of Mecklenburg, Princes of Prussia, Egypt, and d’Isenburg, von Solms-Braunfels, Barons de Villiers, von Elch, de Newburg and Snoy, and Counts de Las and de Maderno. Among the 96 Lomonosov descendants 16 live now in Russia and 80 are in Belgium, Canada, Estonia, France, Germany, Italy, Switzerland and USA. All of Lomonosov descendants store within them the great scientist’s genes, and in the future, when successfully combined with other genes, could give outstanding results.  descendants of M.V. Lomonosov; genius; gene pool; family tree; family of Raevsky; historical childbirth of Russia

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.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.754
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0050.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.024

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 head0.164
GPT teacher head0.365
Teacher spread0.201 · 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