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Record W4416794068 · doi:10.15407/book16-0018960

Formation of an entrepreneurial culture among the business elite of the Dnieper region and its place in restoring the economic potential of Ukraine (last quarter of the 19th – early 20th century). Lection

2025· book· W4416794068 on OpenAlexaboutno aff
Valentyna Shandra

Bibliographic record

Venuenot available
Typebook
Language
FieldPhysics and Astronomy
TopicElectrical and Electromagnetic Research
Canadian institutionsnot available
Fundersnot available
KeywordsEliteEntrepreneurshipQuarter (Canadian coin)Order (exchange)State (computer science)Higher education

Abstract

fetched live from OpenAlex

The study deals with the creation of an entrepreneurial culture of the business elite, which was manifested in the basic dimensions of its life. The emergence of capable representatives of the middle and lower levels of social communities on an independent path of entrepreneurship forced them to engage in self-education. It is noted that having acquired capital, they invested it not only in the development of their own enterprises. In order to improve production capacities, several higher professionally oriented educational institutions for the training of engineers were created at their own expense. For the sphere of business and trade, a wide network of commercial education was founded and financed in order to have middle-level specialists. It is emphasized that in many cases, industrialists were oriented towards Western achievements, for which they studied at the best universities in Europe, visited local manufactories and world exhibitions. In this way, the corporate ethics’ practices, social responsibility and image activities were borrowed. The role of the state in disciplining business through laws, controlling and guiding institutions to maintain the parity of existence of entrepreneurs and workers is also noted.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.540
Threshold uncertainty score0.643

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.205
Teacher spread0.200 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2025
Admission routes1
Has abstractyes

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