Bibliographic record
Abstract
The Long Afterlife of Nikkei Wartime Incarceration reexamines the history of imprisonment of U.S. and Canadian citizens of Japanese descent during World War II. Karen M. Inouye explores how historical events can linger in individual and collective memory and then crystallize in powerful moments of political engagement. Drawing on interviews and untapped archival materials—regarding politicians Norman Mineta and Warren Furutani, sociologist Tamotsu Shibutani, and Canadian activists Art Miki and Mary Kitagawa, among others—Inouye considers the experiences of former wartime prisoners and their on-going involvement in large-scale educational and legislative efforts. While many consider wartime imprisonment an isolated historical moment, Inouye shows how imprisonment and the suspension of rights have continued to impact political discourse and public policies in both the United States and Canada long after their supposed political and legal reversal. In particular, she attends to how activist groups can use the persistence of memory to engage empathetically with people across often profound cultural and political divides. This book addresses the mechanisms by which injustice can transform both its victims and its perpetrators, detailing the dangers of suspending rights during times of crisis as well as the opportunities for more empathetic agency.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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".