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Outstanding figure of Ukrainian medicine: touches to the portrait of Feofil Yanovsky (to the 165th anniversary of his birth)

2025· article· en· W4408751399 on OpenAlexaff
D.V. Dobrianskyi, Г. Л. Гуменюк, Я. В. Качан, R.V. Korolyova, I.P. Tarchenko, N.V. Tarchenko, P.F. Dudka

Bibliographic record

VenueInfusion & Chemotherapy · 2025
Typearticle
Languageen
FieldMedicine
TopicMedical and Biological Sciences
Canadian institutionsWorld Federation of Science Journalists
Fundersnot available
KeywordsPortraitUkrainianArt historyArtPhilosophyLinguistics

Abstract

fetched live from OpenAlex

ABSTRACT. The article describes the life path of the famous Kyiv physician Feofil Yanovsky. It tells about his origin, parents, and upbringing circumstances. The circumstances that prompted him to dedicate his life to medicine are revealed. Special attention is paid to the teachers of the medical faculty of St. Volodymyr Kyiv University, why formed the knowledge base and worldview of the scientist. The internship of Feofil Yanovsky in the best institutes and clinics of France and Germany is described. It tells about the establishment of bacteriological laboratories by Feofil Yanovsky in Kyiv. The main milestones of his medical journey are outlined. Brief information on the essence of the researcher’s main scientific work is given. The achievements of Feofil Yanovsky as a humanist and innovator who was ahead of his time are described. Selflessness is described as a personal quality of the doctor. Particular attention is paid to the respectful attitude towards Feofil Yanovsky of ordinary residents of Kyiv, his popularity among the townspeople.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.012
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.005
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.025
GPT teacher head0.302
Teacher spread0.277 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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