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Medical Microbiology on the Pages of “Scientific Notes of Kazan University” (Chronicle of 1879)

2020· article· en· W3048020764 on OpenAlexaboutno aff
Maxim V. Trushin

Bibliographic record

VenuePrepodavatel XXI vek · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicYersinia bacterium, plague, ectoparasites research
Canadian institutionsnot available
Fundersnot available
KeywordsPlague (disease)Quarter (Canadian coin)HistoryMedical scienceMeaslesClassicsLibrary scienceMedicineAncient historyVirologyMedical educationComputer scienceArchaeology

Abstract

fetched live from OpenAlex

The journal “Scientific notes of Kazan University” (the name was changing slightly at different times) has more than two centuries of history and has always been published as an interdisciplinary publication. The content of the journal included reports on the Humanities and Natural Sciences. The works of Kazan physicians published there have always enjoyed special interest due to their great practical significance: the issues of combating various infectious diseases (cholera, plague, tuberculosis, measles, and others) were often covered on the pages of “Scientific notes”. In this respect 1879 turned out to be special — the problems of infectious diseases, their prevention and legal regulation of anti-epidemic measures were presented by scientists of Kazan University. The article analyzes the works of Florinsky, Vysotsky, Shpilevsky, Shestakov, Skvortsov, Dogel, Pashutin, Shcherbakov, Potekhin, Lyubimov, Studensky, Zaitsev and Stepanov, who published their works in “Scientific notes” in 1879, and assesses their contribution to the development of natural science in Russia in the last quarter of the XIX century.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.997
Threshold uncertainty score0.406

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.004
Science and technology studies0.0030.002
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.1210.046

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 head0.027
GPT teacher head0.257
Teacher spread0.230 · 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.

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
Published2020
Admission routes1
Has abstractyes

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