MétaCan
Menu
Back to cohort
Record W2082076405 · doi:10.1080/08865655.2011.686967

Russian Perceptions of Japan and China in the Aftermath of the Bolshevik Revolution: A Comparative Case Study of Boris Pil'niak's Travelogue

2011· article· en· W2082076405 on OpenAlexvenueno aff
Alexander Bukh

Bibliographic record

VenueJournal of Borderlands Studies · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsChinaNationalismIdeologyNational identityIdentity (music)HierarchyNexus (standard)Political scienceGender studiesEconomic historyHistorySociologyPoliticsLawAestheticsPhilosophy

Abstract

fetched live from OpenAlex

This article joins the debate on Russian national identity and the role of the Orient in its construction. It analyzes Boris Pil'niak's travelogues written in the mid-1920s from Japan and China. Pil'niak was one of the most widely read writers in post-revolutionary Russia and one of the first Soviet writers to travel to China and Japan. While explicitly refusing to identify himself with the Marxist-Leninist ideology, Pil'niak was sympathetic to the revolutionary cause and professed a nationalist version of Bolshevism. By focusing on the writings of one of the prominent writers of the early Soviet era, this article seeks to shed some new light on the role of Japan and China as “others” in Russian national identity in the aftermath of the Bolshevik Revolution. The article critically examines and compares the two constructs. It argues that despite the seemingly internationalist nature of the narrative on China, Pil'niak reproduced the modernist hierarchy in the Russia/China nexus through a temporal difference between the two nations. Contrastingly, in the case of Japan, this article argues that Japan's modern features made it impossible for the author to deploy the modernist hierarchy and his attempt to narrate the difference between Russia and Japan forced him to identify the former with the West.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.341
Threshold uncertainty score0.993

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 studies0.0000.001
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 head0.063
GPT teacher head0.336
Teacher spread0.272 · 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 designQualitative
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
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Borderlands StudiesSame topicJapanese History and CultureFrench-language works237,207