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Record W2264204432

Interview: "Free-Falling" and "Serendipity": An Interview with Joy Kogawa

2007· article· fr· W2264204432 on OpenAlexaboutno aff
Kathleen Dononhue

Bibliographic record

VenueCanadian Children's Literature / Littérature canadienne pour la jeunesse · 2007
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesWhite (mutation)ArtPsychologyArt history
DOInot available

Abstract

fetched live from OpenAlex

Resume: Dans ses romans tels Obasan et Itsuka et son seul recit destine a la jeunesse, Naomi's Road, la romanciere Joy Kogawa a voulu sensibiliser le public a la difficile situation des citoyens d'origine japonaise durant la Seconde Guerre mondiale. Dans cette entrevue, elle evoque les problemes d'identite que sous-tend son oeuvre romanesque. Summary: In this interview, Joy Kogawa produces a fascinating commentary on the construction of personal identity. She sets this discourse within three generations of her own family, talking about her perception of herself as white in her own childhood, about how her writing of and response to the reception of Obasan has changed her, and about how their perception of racism has affected her own children. She also provides commentary on the crafting of Naomi's Road , her children's version of Obasan , her internationally acclaimed novel about the experience of the Canadian-Japanese during World War II. As well, she gives insight into how personal memories, archival work, and creativity all coalesce in the production of art.

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)0.003
metaresearch head score (Gemma)0.006
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: none
Teacher disagreement score0.457
Threshold uncertainty score0.919

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0350.012
Scholarly communication0.0040.004
Open science0.0020.004
Research integrity0.0040.009
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 head0.007
GPT teacher head0.203
Teacher spread0.196 · 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
Published2007
Admission routes1
Has abstractyes

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