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Record W2616939182

Роль железных дорог Дальнего Востока в достижении Победы

2010· article· ru· W2616939182 on OpenAlexaboutno aff
Ципкин Юрий Николаевич, Тесельская Ирина Павловна, I N Tesel'Skaya

Bibliographic record

VenueРоссия и АТР · 2010
Typearticle
Languageru
FieldSocial Sciences
TopicCentral European and Russian historical studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceLeaseEconomyHistoryGeographyLawEconomics
DOInot available

Abstract

fetched live from OpenAlex

The abstract is devoted to the enormous importance of railroads during the Great Patriotic War. During the war the usage of the Far Eastern and Siberian railway systems was not limited only in redeployment of military forces to the fronts, but also it was used for lend-lease supplying from the USA and Canada. Though the route was more secure, than Murmansk or Arkhangelsk routes, but the time of delivery was longer. In 1945 in frames of the Manchurian operation colossal redeployment from West to East was needed. Nowadays, despite the fact that the problem is complicated and debatable, more and more rises the question of the Trans-Siberian Railroad potential as a link between Asia, America and Europe.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.005

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 head0.015
GPT teacher head0.266
Teacher spread0.251 · 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
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
Published2010
Admission routes1
Has abstractyes

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