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Record W3023815926 · doi:10.1524/para.2013.0007

Rite of Redemption.

2013· article· en· W3023815926 on OpenAlexaboutno aff
Hisako Omori

Bibliographic record

VenueParagrana · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsSacrificeWorld War IIPoppyHistoryState (computer science)Spanish Civil WarPrideRite of passageMilitary servicePoetryAncient historyGender studiesSociologyLawPolitical scienceArtLiteratureAnthropology

Abstract

fetched live from OpenAlex

Abstract Across Canada, people commemorate the lives of fallen soldiers by wearing red poppy flower pins for Remembrance Day on November 11. In recent years, Canadians have increasingly taken pride in the symbols used in Remembrance Day, such as poppy flowers and a poem called In Flanders Fields. The day celebrates the notions of sacrifice, belonging, and the nation state of Canada. Japanese Canadians also celebrate this holiday by wearing poppies and remembering the war dead. World War II, however, marked a turning point for the lives of second generation Japanese Canadians. The majority of them were interned in the “relocation camps” during the war years as “enemy aliens” irrespective of their Canadian citizenship status. This paper will describe a present-day Remembrance Day service held in a Japanese Canadian Christian congregation in Ontario, in which its veterans are remembered. The article argues that this ritual of remembrance reverses the historical and social location of Japanese Canadians from those who were the victims of the war to those who were contributors to it, enabling Japanese Canadians to assert their rightful position in Canadian society. This paper also includes a discussion of the author’s personal transformation of historical consciousness about World War II and being Japanese in Canada during this research.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.395
Threshold uncertainty score0.795

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0150.005
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0150.002

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 head0.009
GPT teacher head0.227
Teacher spread0.218 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2013
Admission routes1
Has abstractyes

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