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Ex-Socialists as Human Resources for the Communist Party between February and October Revolutions (March — October 1917)

2021· article· en· W4285528860 on OpenAlexaboutno aff
V. I. Shishkin

Bibliographic record

VenueModern History of Russia · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSoviet and Russian History
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsRadicalizationCommunismEliteSocial Democratic PartyPolitical scienceDemocracyScholarshipPeriod (music)Quarter (Canadian coin)Political economyLawSociologyHistory

Abstract

fetched live from OpenAlex

At the end of the 19th century and the first quarter of the 20th century, political parties became the main actors for Russia’s social and economic processes and events. During the last three decades, they have been the focus of scholars’ efforts since classified sources of the Soviet period were opened for public access at the end of the 20th century. Intense scholarship shaped two main approaches to the topic. One focuses on each political party individually, and the other focuses on interactions between all of them. The second approach, even considering its merits, remains limited because relationships are explained mainly through competition between political parties, whereas in reality, connections were more diverse. This article makes a first attempt to show at personal and group levels the transition of former socialists to the Bolshevik party between the February and October revolutions. It identifies specific party leaders and groups that changed their political views and positions; establishes the time and motives for their break with their former parties to join the Bolsheviks; and clarifies the impact of their joining the Bolshevik party. Based on an analysis of questionnaires of delegates who participated in the Sixth Congress of the Russian Social Democratic Labor Party (Bolsheviks), the article concludes that by the end of the summer of 1917, the Bolshevik political elite consisted of almost 43 % of former socialists, among whom there was a large proportion of professional revolutionaries. Such human resources, mostly consisting of “left-socialists,” contributed to the radicalization of the RSDLP(b), reorienting the political struggle from democratic and political methods to violence and militarism.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.603
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.056
GPT teacher head0.318
Teacher spread0.262 · 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.

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
Published2021
Admission routes1
Has abstractyes

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