Epitaphs to Empire: On Abe Kōbō and the (Un)Making of the Repatriation Narrative
Bibliographic record
Abstract
This article considers some of the dynamics of movement and non-movement in the context of East Asia through an examination of the repatriation narrative. By “repatriation narrative,” I refer to a postwar Japanese form of testimonial interlocution which features a first-person returnee narrator/author who explicitly or implicitly addresses a national audience that does not share the experience of repatriation; and which temporalizes repatriation as a memory reconstructed in the present, marked on one end by the end of the war and on the other by the returnee’s “homecoming” to Japan. This article considers the discursive limits of the repatriation narrative by reading Abe Kōbō’s 1948 debut work Owarishi michi no shirube ni (The Signpost at the End of the Road) and 1957 novella Kemonotachi wa kokyō o mezasu (The Beasts Head for Home) in relation to Fujiwara Tei’s 1949 paradigmatic repatriation narrative Nagareru hoshi wa nagarete iru (The Shooting Stars are Alive), focusing in particular on the various literary and geopolitical displacements in all three texts. In reading Abe's works against the larger discursive history of the repatriation narrative, I aim to show how both texts evince a preoccupation with narrative form that is itself a critique.
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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 | 0.002 |
| 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 | 0.014 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 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".