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Record W4392125963 · doi:10.53452/gb2517

Yuri Dubrova (1955–2023)—a biologist from Ukraine heard by the world: notes on his biography

2023· article· en· W4392125963 on OpenAlexaboutno aff
Vasyl Prydatko-Dolin

Bibliographic record

VenueGeo&Bio · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Biological Research in Conflict Zones
Canadian institutionsnot available
Fundersnot available
KeywordsGeneticistMedalBiographyPopulationClassicsLibrary scienceEnvironmental ethicsHistoryArt historyBiologySociologyPhilosophyDemographyGenetics

Abstract

fetched live from OpenAlex

The future famous geneticist Prof. Yuri Dubrova (1955–2023) was born in Kyiv (Ukraine), where he received excellent secondary and higher education and was awarded with a gold medal upon graduating from school. Eventually, he became one of the best graduates of the Department of Vertebrate Zoology at the Faculty of Biology of Taras Shevchenko National University of Kyiv. His interests included theoretical biology, evolutionary theory, genetics, biometrics, and bionics (for some time he studied the lateral lineage of cyprinid fishes). In his last years at the university, he focused on the study of spontaneous mutations. At the Vavilov Institute of General Genetics in Moscow, Y. Dubrova continued his post-graduate studies and successfully defended his PhD thesis. After the collapse of the USSR, he moved to the UK in search of better scientific and technical opportunities, where he became a professor at the University of Leicester. The scientist lived and worked in Leicester until the end of his life. He devoted himself fully to science, especially to radiation, medical and population genetics, and to teaching, and tried to participate in the study of highly complex medical and genetic issues related, in particular, to the consequences of man-made disasters—Chornobyl (Ukraine, Belarus), Semipalatinsk (Kazakhstan)—and other cases of large-scale radiation effects on life. Dr. Dubrova is the author and co-author of more than 150 scientific articles published in leading journals, including the American Journal of Human Genetics, International Journal of Radiation Biology, Radiation Research, Molecular Biology and Evolution, International Journal of Cancer, British Journal of Cancer, Science, and Nature. He co-operated with many of the world’s leading geneticists and gave lectures in Ukraine, Russia, the USA, Canada, Japan, etc. The article uses fragments of the author’s long correspondence with Y. Dubrova, which may be of interest to biographers of F. Dobrzhansky, M. Tymofeiev-Resovsky, O. Sozinov, O. Yablokov, O. Kistiakowsky, as well as to students, teachers, and historians of Kyiv National University, Kaniv Nature Reserve, and the University of Leicester.

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 categoriesInsufficient 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: Empirical
Teacher disagreement score0.303
Threshold uncertainty score0.993

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.010

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 head0.287
Teacher spread0.246 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2023
Admission routes1
Has abstractyes

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