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Record W2072301892 · doi:10.3138/chr.91.3.435

Sergeant Masumi Mitsui and the Japanese Canadian War Memorial: Intersections of National, Cultural, and Personal Memory

2010· article· en· W2072301892 on OpenAlexvenueaboutno aff
Lyle Dick

Bibliographic record

VenueCanadian Historical Review · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsComfort womenContext (archaeology)HistoryMilitary serviceWorld War IIHegemonySpanish Civil WarMedia studiesLawPolitical scienceSociologyPolitics

Abstract

fetched live from OpenAlex

Abstract: For much of the twentieth century, military commemoration operated in a context of pan-Canadian remembrance. This emphasis overlooked the groups outside the mainstream that pursued their own goals through military service and commemoration, which sometimes differed from and challenged the hegemony of national collective memory. A case in point is the Japanese Canadian War Memorial in Vancouver and its intersections with the military service of Masumi Mitsui and other Japanese-Canadian soldiers of the First World War. After the war, the Japanese-Canadian veterans fought for the right to vote in provincial elections, which they eventually secured in 1931, thereby becoming the first Asian Canadians to attain the franchise in British Columbia. The veterans' wartime service could not prevent anti-Japanese-Canadian sentiment before and during the Second World War, leading to the seizure of their properties and their forced removal from the coast. The article foregrounds Mitsui's return to Vancouver in 1985 as the honoured guest in a ceremony to relight the lantern at the Japanese Canadian War Memorial. Drawing on insights of the philosopher of history Walter Benjamin, this history is approached in light of Benjamin's account of storytelling traditions and the ‘now-time’ of historical agency.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.641
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.028
GPT teacher head0.266
Teacher spread0.238 · 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
GenreReview

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

Citations4
Published2010
Admission routes2
Has abstractyes

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