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Record W4380520886 · doi:10.6000/1929-4409.2020.09.269

Attempts of Forcing Oil Production on the Eve of the Great Patriotic War

2022· article· en· W4380520886 on OpenAlexvenueno aff
Elena V. Bodrova, Vyacheslav V. Kalinov, Valeria N. Krasivskaya

Bibliographic record

VenueInternational Journal of Criminology and Sociology · 2022
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsnot available
Fundersnot available
KeywordsPetroleum industryOil productionProduction (economics)IndustrialisationBusinessCurrencySpanish Civil WarEconomic policyEconomicsEconomyMarket economyPolitical scienceLawEngineeringPetroleum engineeringMonetary economicsEnvironmental engineering

Abstract

fetched live from OpenAlex

In this study, the problem of attempts to reorganize the USSR's oil industry on the eve of the Great Patriotic War and speed up oil production and oil refining to ensure industrialization and defense plans are investigated. The conclusion is formulated that the plans were not fully supported by financial, human, and technological resources. The reasons for the failure to fulfill the plans were strategic miscalculations, ignoring the recommendations of leading scientists and the repression against a significant number of brilliant oil specialists who restored industry in the 1920s, reconstructing it and ensuring the flow of currency through the expansion of oil exports. The measures taken on the eve of the war to reorganize the management of the oil industry, its technical re-equipment, and intensification of oil production yielded specific results. But the growth rate of production was also hindered by insufficient exploration of areas and their unpreparedness for exploitation. Before the war, Azerbaijan remained the main oil base of the USSR. The development of “Second Baku” was unacceptably slow.

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.013
Scholarly communication0.0050.002
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.047
GPT teacher head0.310
Teacher spread0.263 · 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 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

Citations1
Published2022
Admission routes1
Has abstractyes

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