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N.K. BAIBAKOV – AN OUTSTANDING OILMAN AND ECONOMIST (TO THE 110 TH ANNIVERSARY OF HIS BIRTH)

2021· article· en· W4244351152 on OpenAlexaboutno aff
L.V. Ivanitskaya, N. V. Arefyev, E.E. Mozhaev, A.P. LYUBIMOV, A.K. Markov, P.P. Shmakov, Yu.N. Yegorov

Bibliographic record

VenueBULLETIN of Russian Academy of Natural Sciences · 2021
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy Security and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Government (linguistics)State (computer science)Economic historyPolitical scienceManagementHistoryEconomicsPhilosophy

Abstract

fetched live from OpenAlex

The article is devoted to the life and work of the legendary personality Nikolai Konstantinovich Baibakov. Nikolai Konstantinovich went through a long career from an oil engineer to Deputy Chairman of the government of the USSR. The figure of Nikolai Konstantinovich Baibakov is unique. He became a member of the government under Stalin, and retired under Gorbachev. At the same time, for 22 years he headed the headquarters for the management of the Soviet economy – the state planning Committee of the USSR, where he proved himself as an outstanding economist. His name is associated with major national economic achievements in the development of the country’s fuel and energy complex, industry, and agriculture. For almost a quarter of a century, he defined the strategy and guidelines for the socio-economic development of the USSR.

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 score0.014
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0140.013

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 head0.271
Teacher spread0.252 · 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
Published2021
Admission routes1
Has abstractyes

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