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“From Citizens to Refugees”: Japanese Canadians and the Search for Wartime Sanctuary

2020· article· en· W3011735507 on OpenAlexaboutno aff
Laura Madokoro

Bibliographic record

VenueJournal of American Ethnic History · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeDeportationCitizenshipFraming (construction)Political scienceDisplaced personPoliticsGender studiesHomelandImmigrationDistancingLawSociologyCriminologyHistoryCoronavirus disease 2019 (COVID-19)

Abstract

fetched live from OpenAlex

Abstract Beginning in 1942, almost 22,000 Japanese Canadians were removed from their homes on the West Coast of British Columbia. While some citizens privately understood their situation as akin to other histories of displacement, they never discussed their situation publicly using the language of refugeehood or exile. By contrast, the Cooperative Committee on Japanese Canadians, which protested the federal government’s deportation of Japanese Canadians in 1946, cloaked the wartime experience of Japanese Canadians using these very terms. To understand these variations in approaches, this article focuses on the question of what is signified when the term refugee is used in public debates about citizenship and state responsibilities. It begins by framing the stakes of this question by highlighting the debate over the term refugee in the aftermath of Hurricane Katrina in 2005. It then explores the experiences of journalist Muriel Kitagawa and her family as they sought refuge in Toronto and the activism of religious leaders who advocated on behalf of Japanese Canadian internees (with reference to a parallel history in the United States). The article concludes by considering the ways in which histories of internment have been memorialized in relation to other accounts of mass displacement. In doing so, the article advances the concept of “refugee distancing” as a way of understanding the reaction of citizens to the idea that they might become refugees. In the context of the Second World War, supporters’ use of the term refugee was a calculated political strategy meant to evoke the promises of citizenship, but it was also one that inadvertently highlighted the vulnerabilities at the core of racialized citizenship experiences, to the detriment of the very citizens the language was meant to assist.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.588
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.036
GPT teacher head0.319
Teacher spread0.283 · 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 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

Citations3
Published2020
Admission routes1
Has abstractyes

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