Living words, tracing processes of national subject formation and racialization in Japanese Canadian life writing
Bibliographic record
Abstract
ln the process of being constituted as subjects, individuals respond to a variety of coterminous interpellations. Identification along lines of national affiliation is encouraged, in part, through diverse pedagogical strategies, while identification based on racial categories is developed through a process of racialization characterized by porous temporal boundaries. Both forms of identification are ambivalent; while they may be mobilizing processes, they can also serve to contain individuals within limiting fields of association. In the World War II Japanese Canadian internment, identification based on national and racial affiliation became of paramount importance to displaced individuals. Japanese Canadian life writing narratives chronicling this event provide first-hand evidence of how such forms of identification operate. By exploring the discursive formation and content of these texts, 1 suggest that national subject formation and racialization can be understood as ongoing processes. This, in turn, invites us to re-visit and theorize anew the history of the internment.
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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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".