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Record W3157790812

차별적 인종화와 디아스포라의 역사적 외상 ―조이 코가와의 『오바상』

2017· article· ko· W3157790812 on OpenAlexaboutno aff
김미령

Bibliographic record

Venue영어영문학21 · 2017
Typearticle
Languageko
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsRacializationDiasporaMulticulturalismGender studiesHybridityAmbivalenceRacismWhite (mutation)Identity (music)SociologyHistoryPolitical scienceEthnologyMedia studiesAnthropologyRace (biology)LawAestheticsArt
DOInot available

Abstract

fetched live from OpenAlex

This paper explores differential racialization, diaspora, and historical trauma in Canada in Joy Kogawa`s Obasan. Canadian multiculturalism has been an integral part of the national identity, and the Canadian government has suggested that this multiculturalism is the heritage of tolerance in Canadian history. However, Joy Kogawa, as an ethnic minority writer, rebuts the contention by rewriting the Japanese-Canadian community`s history, which had been silenced and erased in official Canadian history. Obasan presents how white-oriented society has enforced differential racialization and institutional racism. Since Japanese people first immigrated, white Canadians considered them as a `lower order of people.` However, they were also afraid of `Yellow Peril.` Their ambivalent emotion towards Japanese-Canadians took the form of evacuation. Obasan focuses on the evacuation, internment, and diaspora of Japanese-Canadians during World War II. To heal the historical and community trauma, Kogawa presents Naomi, whose hybridity allows her to understand both Canadian and Japanese culture. Obasan insists ethnic minorities have to remember and face history to overcome and heal the disasters in the past.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.536
Threshold uncertainty score1.000

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 studies0.0080.002
Scholarly communication0.0030.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.008

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 head0.022
GPT teacher head0.267
Teacher spread0.245 · 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; both teacher heads agree on what is shown here.

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
Published2017
Admission routes1
Has abstractyes

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