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Record W1479918307

The Book as (Anti)National Heroine: Trauma and Witnessing in Joy Kogawa’s Obasan

2006· article· en· W1479918307 on OpenAlexaffvenueabout
Eva C. Karpinski

Bibliographic record

VenueStudies in Canadian Literature · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsYork University
Fundersnot available
KeywordsWitnessNarrativeMulticulturalismGender studiesHuman sexualityPoliticsIdentity (music)SociologyLiteratureAestheticsHistoryPsychoanalysisPsychologyPolitical scienceArtLawPedagogy
DOInot available

Abstract

fetched live from OpenAlex

Joy Kogawa's Obasan has enjoyed a status unprecedented for a book written by a non-white Canadian. The novel has been credited with changing the Canadian literary canon, facilitating a practice of multicultural pedagogy, and bridging the gap between writing and political activism. The phenomenon of Obasan has consequences far beyond literature and pedagogy, and can be seen as symptomatic of larger shifts that an integrative analysis of gender, race, class, and sexuality has brought about in Canadian constructions of national identity. Kogawa's text addresses the relationship between narrative and history by forcing Canada to undergo a radical change in its communal knowledge of itself as a nation. Obasan thus succeeds in mediating the relationship between narrative and history, and makes it possible to rethink and transform history by bearing literary witness to trauma.

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)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.301
Threshold uncertainty score0.605

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0340.017
Scholarly communication0.0080.003
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.012
GPT teacher head0.287
Teacher spread0.275 · 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
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

Citations2
Published2006
Admission routes3
Has abstractyes

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