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Record W7082524065

Formation of the centers of production of military and metall urgical products in the Urals in the 17 — first quarter of the 18th century

2018· article· ru· W7082524065 on OpenAlexaboutno aff

Bibliographic record

VenueElectronic scientific archive of UrFU (Ural Federal University) · 2018
Typearticle
Languageru
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Production (economics)Center (category theory)
DOInot available

Abstract

fetched live from OpenAlex

Условия для расцвета уральской промышленности в XVIII в. были подготовлены предшествующим столетием промышленного освоения края. Намеченное указом Петра I строительство на Урале «большого» завода по изготовлению чугуна, железа, пушек и создание оружейного производства в итоге было осуществлено. Военное производство, изначально планировавшееся «для обороны Сибирского царства», с началом Северной войны было полностью переориентировано на поставки продукции в Центральную Россию. Уральские пушки и тобольские ружья не сыграли существенной роли в Северной войне. Однако Тобольский оружейный завод вместе с первыми уральскими железоделательными заводами положил начало формированию облика Урала, как одного из крупнейших металлургических и военно-промышленных центров страны. Наиболее весомый вклад Урала в победу заключался в поставках высококачественного железа.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.280
Threshold uncertainty score0.729

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.183
Teacher spread0.173 · 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 designBench or experimental
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
Published2018
Admission routes1
Has abstractyes

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