"A Fearful Calligraphy": De/scribing the Uncanny Nation in Joy Kogawa’s Obasan
Bibliographic record
Abstract
[Extract] This paper takes as its starting point Joy Kogawa’s 1981 novel Obasan, a story which revolves around what McFarlane has called “arguably the most documented instance of ethnic civil rights abuse in Canadian history” (“Covering Obasan” 401): the internment of the Japanese Canadians during and after the Second World War and their subsequent dispossession and exile. It also takes as one point of intersection the Japanese Canadian Redress Agreement—the decision of the Mulroney Government on 22 September 1988 to offer an apology and restitution to the Japanese Canadians for their suffering and unjust treatment. More specifically, this reading is located in the way Freud’s analysis of “The Uncanny” (1956) can be brought to bear on an understanding of these events.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.037 | 0.023 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".