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<i>Japaneseness</i> in Racist Canada: Immigrant Imaginaries during the First Half of the Twentieth Century

2018· article· en· W4210325059 on OpenAlexaboutno aff
Eiji Okawa

Bibliographic record

VenueJournal of American Ethnic History · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsModernityImmigrationSociologyGender studiesSubjectivityHegemonyNormativeRacismVernacularWhite (mutation)AestheticsEpistemologyPolitical sciencePoliticsLawLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

Abstract This study explores how Japanese immigrants in Canada understood themselves and conceptualized their community during the first half of the twentieth century. Using vernacular texts in Japanese language, I scrutinize their self-expressions and expand the discourse of Japanese-Canadian history beyond a frame centred upon white racism and exclusionary policies. I start by suggesting the need to relativize normative ideas about the individual to contextualize immigrants’ cognitive and discursive practices. Next, I outline notions about the self and collective, morality, and language as intricate components of nationhood in Japanese modernity. Then I turn to immigrant texts. Focusing on debates concerning language education of the second generation (Nisei), I examine how constitutive elements of the Japanese nation affected diasporic subjectivity and self-understanding. As I argue, immigrants claimed their space in Canada by asserting Japaneseness and navigated a hostile world by deploying cultural tools of Japanese modernity. Hegemonic epistemology of Western modernity, however, prevents their history from being assessed on its own terms.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.756
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
Bibliometrics0.0000.001
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.011
GPT teacher head0.241
Teacher spread0.229 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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