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Exile: Mapping the Migration Patterns of Japanese Canadians Exiled to Japan in 1946

2018· article· en· W4210752465 on OpenAlexaboutno aff
Audrey Kobayashi, Reuben Rose‐Redwood, Sonja Aagesen

Bibliographic record

VenueJournal of American Ethnic History · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsAgrarian societyCitizenshipPeriod (music)HistoryGeographyImmigrationGenealogyExploratory analysisEthnologyEconomic historyDemographyAncient historyGender studiesPolitical scienceSociologyLawArchaeologyAgricultureArtPolitics

Abstract

fetched live from OpenAlex

Abstract In 1946, after a period of internment that began in 1942, approximately four thousand Japanese Canadians were exiled to Japan and stripped of their citizenship. More than half were Canadian-born, and the majority of those who had been born in Japan were Canadian citizens. The exiles were given a choice of impossible options: to relocate outside of British Columbia or be sent to Japan. Drawing upon extensive archival research, this study examines the spatial patterns of migration between Japan and Canada with a particular focus on the exile of Japanese Canadians to Japan in 1946. Our findings indicate that the majority of the exiles were from Wakayama, Shiga, and Hiroshima prefectures, where rates of return prior to the 1940s were already high. Although more definitive explanations require further research, our exploratory analysis suggests that regional patterns of exile were likely influenced by the prefectural origin of the original migrants, obligations to re-establish the traditional Japanese agrarian household, and religious practices.

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)0.002
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 score0.546
Threshold uncertainty score0.553

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0010.000

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 head0.048
GPT teacher head0.295
Teacher spread0.248 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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