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Record W2462692062

От политехнического института до строительной академии

2016· article· uk· W2462692062 on OpenAlexaboutno aff
V. I. Bolshakov, Г. П. Евсеева, Galyna Lysenko, С П Волкова

Bibliographic record

VenueВісник Придніпровської державної академії будівництва та архітектури · 2016
Typearticle
Languageuk
FieldMedicine
TopicMedical and Biological Sciences
Canadian institutionsnot available
Fundersnot available
KeywordsProsperityArchitectureQuarter (Canadian coin)Vocational educationHigher educationInvestment (military)Position (finance)EngineeringPolitical scienceSociologyCivil engineeringPedagogyHistoryLawBusinessArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Developed construction industry is the basis of prosperity of the country as a whole and particular city in particular. An important role in the training of young builders relies on the training institutions, which, even replacing each other on the city map, retain and develop the traditions of engineering and construction education. The knowledge of the history of the first technical institution of building structure in our city will significantly influence the formation of civic and patriotic position of young engineers of building industry. Analysis of the research. Тhe history of higher polytechnic education in Ukraine of the first quarter of the twentieth century rather thoroughly was investigated in the works of V. Onopriyenko, V. Tarasov, A. Woroch, C. Choir,Hovrych, I. Fedosova and others. Specifically I. Fedosova considered features of formation of student contingent in the technical universities in the period which is considered and analyzed the source and status of research of the history of higher technical education in Ukraine. The formation of higher technical education in Katerynoslav was considered in the works of G. Shvyd’ko, V. Starostin, V. Savchuk, A. Bystryakov and V. Bolshakov. The purpose of the article is analysis of the development of higher building and architectural education in Katerynoslav (Dnipropetrovsk) during the XX XXI century. Conclusion. The tradition of training of highly qualified engineering and architecture specialist inthe city has already a hundred years, and Prydniprovs’ka State Academy of Civil Engineering and Architecture concentrating all the achievements of its predecessors, absorbed throughout history research and development of talented architects, builders and engineers of the construction industry of the city, confidently looks into the future.

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)0.005
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient 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 score0.608
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.004
Science and technology studies0.0010.007
Scholarly communication0.0010.001
Open science0.0040.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0500.032

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 head0.056
GPT teacher head0.303
Teacher spread0.247 · 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
Published2016
Admission routes1
Has abstractyes

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