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Record W2758567588 · doi:10.1080/18692729.2017.1354752

A tree house in Tokyo: Reflections on Nikkei, citizenship, belonging, architecture, and art on the 75th anniversary of Japanese American and Japanese Canadian internment

2017· article· en· W2758567588 on OpenAlexaffabout
Millie Creighton

Bibliographic record

VenueContemporary Japan · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicAsian American and Pacific Histories
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsContext (archaeology)CitizenshipRedressImmigrationArchitectureWhite (mutation)Diversity (politics)ResidenceHistoryWorld War IIGenealogyPolitical scienceSociologyLawDemographyArchaeology

Abstract

fetched live from OpenAlex

This think piece discusses the continuing influence of Japanese American and Japanese Canadian internment, which commenced 75 years ago in 1942 and also affected Nikkei from 13 Latin American countries. Contextualizing the Canadian case, the essay explores the lives of Raymond Moriyama, a Nikkei architect interned despite his Canadian birth and citizenship, and William Allister, a White Canadian Prisoner of War (POW) of Japan, and their mutual attempts to overcome bitterness through their architecture and art. The article explores the Canadian Embassy in Tokyo designed by Moriyama as a tree house, reflecting Moriyama’s belief that a tree house is a special place where the human spirit can dwell and soar. The Canadian Embassy in Japan as a tree house proclaims possibilities of addressing historic wrongs and embracing diversity. North American Nikkei attempts to prevent further injustices against others are related to the contemporary context in which some North American voices advocate a registry of Arab Americans. The essay asserts that the official Redress acknowledgements by the United States and Canada in 1988 that the internment of people of Japanese descent was wrong stand as a precedent against such targeting of specific groups.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.095
Threshold uncertainty score0.332

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0430.022
Scholarly communication0.0050.002
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.040
GPT teacher head0.300
Teacher spread0.260 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2017
Admission routes2
Has abstractyes

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