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Record W3112993054 · doi:10.17816/snv201984217

The Revolution and Civil War in Russia in Canadian historiography

2019· article· en· W3112993054 on OpenAlexaboutno aff
Sergey Viktorovich Bandilet

Bibliographic record

VenueSamara Journal of Science · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHistoriographySpanish Civil WarPolitical radicalismSympathyPolitical scienceHistoryIntervention (counseling)AuthoritarianismSubject (documents)DemocracyLawPoliticsPsychology

Abstract

fetched live from OpenAlex

This paper is devoted to perception of the February Revolution, the October revolution and the Civil War in Russia in Canadian historiography. The paper considers, firstly, works of historians Canadian citizens, secondly, works of scientists from other countries who have worked in Canada for a long time and, thirdly, works of foreigners, who published in Canadian scientific journals. All of the above works can be divided into three groups. Firstly, these are fundamental works on the history of the Russian Revolution and Civil War. Secondly, these are works devoted to foreign intervention in Russia and Canadian participation of Canada in this intervention. Thirdly, these are works relating to other particular aspects of this subject. The authors of all considered works refer to the February Revolution as an important step for democracy in Russia. Canadian historiography mainly condemns the October Revolution and criticizes Bolsheviks for authoritarianism and radicalism. The attitude of Canadian scientists to the White Guards is ambiguous. On the one hand, there is a certain sympathy for the Whites as allies of the Entente (and Canada). But on the other hand, the Whites are condemned for their ill-conceived domestic policies and for inability to reach a compromise with each other. The Canadian historiography of the 19171922 events in Russia is now practically unexplored, and therefore it is of scientific interest.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.142
Threshold uncertainty score0.995

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.009
Science and technology studies0.0230.014
Scholarly communication0.0090.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.004
GPT teacher head0.211
Teacher spread0.207 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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Same venueSamara Journal of ScienceSame topicCanadian Identity and HistoryFrench-language works237,207