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Record W1982682009 · doi:10.7202/1003042ar

The Myth of the Emperor and the Yamato Race: The Role of the Tairiku nippô in the Promotion of Japanese-Canadian Transnational Ethnic Identity in the 1920s and the 1930s

2011· article· en· W1982682009 on OpenAlexvenueaboutno aff
Aya Fujiwara

Bibliographic record

VenueJournal of the Canadian Historical Association · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicAsian American and Pacific Histories
Canadian institutionsnot available
Fundersnot available
KeywordsMythologyEmperorHomelandPrideGender studiesMainstreamIdeologyIdentity (music)Ethnic groupHistoryNewspaperPatriotismPolitical scienceSociologyMedia studiesAncient historyAnthropologyAestheticsArtLawPoliticsClassics

Abstract

fetched live from OpenAlex

This article examines the role that the Japanese-Canadian (first-generation) issei press, the Tairiku nippô, played in transnational ethno-racial identity, focusing on the myths of the Emperor and the Yamato race. The newspaper is an invaluable source that shows Japanese Canadians’ self-image that emerged in response to intense anti-Asianism in British Columbia during the 1920 and the 1930s. The press incorporated politicized images and stories, which integrated the Emperor and Japanese racial roots into its editorials and columns, boosting their sense of racial pride. Hirohito’s daijôsai of 1928 and Japan’s invasion of the Manchuria in 1931 served as the best opportunities to spread their myths and symbols. The newspaper also became a space where Japanese Canadians could freely express their opinions and feelings for their homeland through essays and poems, without facing any criticisms from mainstream British Columbians. An examination of such messages reveals that Japanese-Canadian Buddhist issei, and some nisei, who had strong affiliation with the Tairiku nippô, maintained their loyalty to the Emperor, and expanded the idea that they were part of the noble Yamato race. Their ideology was a factor that prompted them to support and justify Japan’s invasion of China.

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)0.011
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.687
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.237
Teacher spread0.223 · 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 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

Citations1
Published2011
Admission routes2
Has abstractyes

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