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Record W1895291002

Томский технологический институт и купечество: опыт делового сотрудничества (1890-е 1910-е гг. )

2015· article· ru· W1895291002 on OpenAlexaboutno aff
Дмитриенко Надежда Михайловна, Григорьева Светлана Евгеньевна

Bibliographic record

VenueВестник Томского государственного университета. История · 2015
Typearticle
Languageru
FieldEngineering
TopicEngineering and Environmental Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipOrder (exchange)Quarter (Canadian coin)Work (physics)ManagementSociologyHistoryBusinessPolitical scienceEngineeringArchaeologyLawEconomics
DOInot available

Abstract

fetched live from OpenAlex

Study of relations of Tomsk Technological Institute and Tomsk merchants-entrepreneurs both corporate customers and consumers of scientific and technical and educational services helps to deepen understanding of history, to strengthen entrepreneurial capacity of the higher school. Thus it determines the topic of this work. The main aim of the study is to reveal the role of Tomsk Technological Institute as a creator of business environment and improver of the educational and qualification level of Tomsk merchants. In order to achieve the aim of the study the scientific methods are using, and first of all a historical-anthropological approach. It makes possible to uncover the human constituent in past events, to reconstruct a particular historical situation. The use of latest historical sources provided opportunity to show partnerships of Tomsk Technological Institute and Tomsk merchants-entrepreneurs. Tomsk merchants, in particular A.P. Karnakov, P.I. Bogomolov, I.M. Nekrasov, took active part in the preparations for the opening of the Institute. The professors of the Institute E.L. Zubashev, N.V. Gutovskiy, S.V. Lebedev and others entered into business partnership with merchants-entrepreneurs in order to intensify Tomsk industry. During 1900-1910 more than a quarter of all students of the Institute were descended from the merchants. Sons of upper merchants-entrepreneurs Vasiliy Vytnov, Alexander Distler, Alexander Usachev, Peter Eldeshtein etc. were among the students of Tomsk Technological Institute. Later they played important role in the development of Tomsk and Siberia. For instance, Alexander Distler, who became a mining engineer, continued the family business as owner of a gold-mine. He was a member of the Party of Socialist Revolutionaries, and played a prominent role in the events of the Revolution of 1917 in Tomsk. In April 1917 he was elected to the local board of Tomsk Narodnoye Sobranie. In 1918 he became a member of the Siberian Duma, and in January 1919 the Deputy Chairman of the Tomsk City Council Gorodskaya Duma. At the same time, in January 1919, A.G. Distler participated in the Congress of the Institute for the Study of Siberia in Tomsk, worked in the section of geology and mining. Unfortunately, he was subjected to repression as an enemy of the people. Distler' school-mate Vasily Vytnov also continued the business of his father and grandfather, Tomsk alcohol manufacturers. He played important role in the social life of Tomsk. In September 1918, V.P. Vytnov received offer to serve as a Deputy Minister of Supply of the Provisional Siberian Government. However, the appointment did not take place because the Siberian Government was soon abolished.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.005
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.002

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 head0.018
GPT teacher head0.184
Teacher spread0.166 · 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
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
Published2015
Admission routes1
Has abstractyes

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