Bibliographic record
Abstract
The Long Afterlife of Nikkei Wartime Incarceration contributes to the sparse literature on the lingering effect of the World War II incarceration experience on Japanese Americans, their children, and their grandchildren. Karen M. Inouye uses Avery F. Gordon's concept of “haunting” to analyze the “long afterlife” of incarceration in novel ways (Gordon, Ghostly Matters, 2008). Different from trauma, haunting allows one to envision how things might have been, creating a moment in which those who have suffered are moved to create a difference in the present and the future. This book, Inouye writes, is also a response to Alice Yang Murray's challenge that a book be written examining “how one individual's memories and representations of internment evolved over time” (p. 15). The result is a series of chapters organized around the lives of individuals (with a chapter on Canadian redress as the only exception to this structure). Individuals' wartime incarceration experiences took years to process, with meanings evolving over time and shaped by the postwar period. Furthermore, their wartime experiences continued to color how they approached their careers, and affected matters involving the rights of others long after the war was over and the camps had been closed.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.008 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".