The Japanese American Experience Through Literature: Joy Kogawa’s Obasan and Mitsuye Yamada’s Poetry
Bibliographic record
Abstract
La comunidad japonesa-americana se ha visto marcada por la experiencia del internamiento en campos de concentración a consecuencia de la Segunda Guerra Mundial. Este hecho histórico demostró que a pesar del carácter multicultural de las sociedades estadounidense y canadiense lo que prevalecía era la noción de la supremacía blanca. Joy Kogawa y Mitsuye Yamada fueron de las primeras voces que rompieron con el silencio de canadienses y estadounidenses de origen japonés. Ambas exploran cómo las políticas racistas de sus respectivos países han afectado no sólo sus vidas, sino también las de sus antepasados y la de las generaciones más jóvenes.Abstract:The Japanese American community has been deeply marked by the internment experience as a result of the Second World War. This historical event demonstrated the fact that, despite the multicultural nature of U.S. and Canadian societies, notions of white supremacy were the ones that prevailed. Joy Kogawa and Mitsuye Yamada were two of the first voices that emerged breaking the silence of Canadian and American citizens of Japanese origin. They explore the ways in which the racist policies of their respective countries had affected not only their own lives, but also that of their ancestors and of the younger generations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.029 | 0.018 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".