MétaCan
Menu
Back to cohort
Record W1605357176

The Future of Racial Memory: Forgiveness, Reconciliation, and Redress in Joy Kogawa's Obasan and Itsuka

2005· article· en· W1605357176 on OpenAlexaffvenueabout
Julie McGonegal

Bibliographic record

VenueStudies in Canadian Literature · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsMcMaster University
Fundersnot available
KeywordsForgivenessInjusticeRedressIdeologyPower (physics)WrongdoingSociologyResistance (ecology)PostmodernismAestheticsPsychologyEpistemologyPsychoanalysisSocial psychologyLawPolitical sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

The majority of criticism surrounding Kogawa's Obasan and Itsuka assumes that reconciliation and resistance to racial injustice are incompatible, thereby overlooking Kogawa's complex exploration of the transformative potential forgiveness and reconciliation can provide Japanese Canadians in resisting and defusing the power of the oppressor. Forgiveness can only follow an apology that acknowledges wrongdoing; it does not merely reinscribe ideologically racist messages of power operating in Canadian society, nor invoke the model minority myth to avoid compensatory action. Such recognition of the past, however, is necessarily dependant on memory, which both texts represent as unstable and unreliable yet essential to the healing process. Kogawa contends with the tension between these postmodern and humanist concepts of memory through the issei word Itsuka, meaning someday, which captures the Japanese sense of the anteriority of the future. Forgiveness essentially constitutes a form of renarration that recollects the past while simultaneously opening up possibilities for a future.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.918
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.261
Teacher spread0.247 · 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.

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
Published2005
Admission routes3
Has abstractyes

Explore more

Same venueStudies in Canadian LiteratureSame topicShort Stories in Global LiteratureFrench-language works237,207